# summary_jobs

id: c68f7d40-dd1a-40ce-912a-d46341568886
session_key: ef738c6a-0274-4a44-9dba-900a04d0f342
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T12:38:50.781Z
completed_at: 2026-02-25T12:39:35.851Z
transcript:
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  {"type":"file-history-snapshot","messageId":"da040bbf-62f8-44a5-b60a-43450c53bf25","snapshot":{"messageId":"da040bbf-62f8-44a5-b60a-43450c53bf25","trackedFileBackups":{},"timestamp":"2026-02-25T12:11:44.968Z"},"isSnapshotUpdate":false}
  {"parentUuid":"e501187a-cc15-4ac6-9aac-caa0a20e5b64","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"ef738c6a-0274-4a44-9dba-900a04d0f342","version":"2.1.56","gitBranch":"main","slug":"delegated-drifting-ocean","type":"user","message":{"role":"user","content":[{"type":"text","text":"got some very valuable feedback from an agent using signet, lets look into this and plan out a nice fix"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"[encoded data, 10685 characters]
  [truncated]


id: fab1f05b-e3b8-4243-bb9e-b8e939d4b1ea
session_key: fce030db-ecb3-4512-af24-b7b821fb3903
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T13:12:07.261Z
completed_at: 2026-02-25T13:13:04.403Z
transcript:
  {"type":"file-history-snapshot","messageId":"e73475f3-02e3-44db-83d8-e2a14c87e651","snapshot":{"messageId":"e73475f3-02e3-44db-83d8-e2a14c87e651","trackedFileBackups":{},"timestamp":"2026-02-25T12:38:20.000Z"},"isSnapshotUpdate":false}
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"fce030db-ecb3-4512-af24-b7b821fb3903","version":"2.1.56","gitBranch":"main","slug":"vivid-twirling-flamingo","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"30aea227-046d-4ae6-8db9-b7258d52ea5e","toolUseID":"30aea227-046d-4ae6-8db9-b7258d52ea5e","timestamp":"2026-02-25T12:38:19.408Z","uuid":"e992d94c-99ea-493f-bbea-a05f492f55ea"}
  {"parentUuid":"e992d94c-99ea-493f-bbea-a05f492f55ea","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"fce030db-ecb3-4512-af24-b7b821fb3903","version":"2.1.56","gitBranch":"main","slug":"vivid-twirling-flamingo","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Backwards Deduplication Pass for Memory Pipeline\n\n## Context\n\nLegacy databases and databases that accumulated memories without the extraction\npipeline have no retroactive deduplication. The write-path dedup (content_hash\nuniqueness) only catches exact duplicates at insert time. There's no mechanism\nto find and merge near-duplicate memories that already exist, and no semantic\nsimilarity-based dedup at all.\n\nThis adds a new repair action that finds duplicate clusters (exact hash +\nsemantic similarity), selects a keeper, merges tags, and soft-deletes the rest.\n\n## Files to Modify\n\n| File | Change |\n|------|--------|\n| `packages/core/src/types.ts:150-155` | Add 4 fields to `PipelineRepairConfig` |\n| `packages/daemon/src/memory-config.ts:65-70,257-283` | Add defaults + clamping for dedup config |\n| `packages/daemon/src/diagnostics.ts` | Add `DuplicateHealth` metric, wire into composite |\n| `packages/daemon/src/repair-actions.ts` | Add `getDedupStats()`, `deduplicateMemories()`, helpers |\n| `packages/daemon/src/pipeline/maintenance-worker.ts` | Add dedup recommendation + execution case |\n| `packages/daemon/src/daemon.ts` | Add `GET /api/repair/dedup-stats` and `POST /api/repair/deduplicate` |\n\n## Implementation\n\n### 1. Config (types.ts + memory-config.ts)\n\nExtend `PipelineRepairConfig`:\n\n```typescript\nreadonly dedupCooldownMs: number;\nreadonly dedupHourlyBudget: number;\nreadonly dedupSemanticThreshold: number;  // cosine similarity 0.0-1.0\nreadonly dedupBatchSize: number;\n```\n\nDefaults: `600000` (10 min), `3` (conservative), `0.92` (high to avoid false merges), `100`.\n\n### 2. Diagnostics (diagnostics.ts)\n\nNew `DuplicateHealth` interface:\n\n```typescript\nexport interface DuplicateHealth extends HealthScore {\n  readonly exactDuplicates: number;    // count of excess exact-hash dupes\n  readonly exactClusters: number;      // number of hash-based clusters\n  readonly totalActive: number;\n  readonly duplicateRatio: number;     // exactDuplicates / totalActive\n}\n```\n\n`getDuplicateHealth(db)` — pure SQL query, groups by `content_hash` where `cnt > 1`.\n\nAdd to `DiagnosticsReport`. Adjust weights:\n- `storage: 0.10` (was 0.12)\n- `index: 0.15` (was 0.17)\n- `duplicate: 0.04` (new)\n\n### 3. Repair Action (repair-actions.ts)\n\n**Read-only stats:**\n\n```typescript\nexport function getDedupStats(accessor: DbAccessor): DedupStats\n```\n\nSQL groups by `content_hash HAVING COUNT(*) > 1`, sums excess.\n\n**Keeper selection algorithm:**\n\nScore each memory in a cluster:\n- `importance * 3` (dominates)\n- `min(access_count, 50) / 50` (normalized)\n- `min(update_count, 20) / 20` (more updates = more curated)\n- recency tiebreaker from `updated_at`\n- +100 for `pinned`, +100 for `manual_override` (these are excluded from\n  clustering queries, but double-checked in processCluster as safety)\n\nHighest score wins. Losers get soft-deleted.\n\n**Tag merging:**\n\nTags are comma-separated strings in the DB. Merge by splitting on `,`,\ndeduping, and rejoining.\n\n**Main action:**\n\n```typescript\nexport async function deduplicateMemories(\n  accessor, cfg, ctx, limiter,\n  options?: { batchSize?, semanticThreshold?, dryRun?, semanticEnabled? }\n): Promise<RepairResult & { clusters: number }>\n```\n\nTwo phases:\n1. **Exact hash clusters** — cheap SQL GROUP BY, batched\n2. **Semantic clusters** — KNN via `vec_embeddings` for memories with\n   embeddings, threshold-gated, only runs if exact phase didn't fill batch\n\nFor each cluster:\n- Fetch all candidates\n- Skip if any pinned/manual_override\n- Score and pick keeper\n- Merge tags into keeper\n- Soft-delete losers with `is_deleted = 1, deleted_at = now`\n- Audit both keeper (\"merged\" event) and losers (\"deleted\" event with\n  reason referencing keeper ID) via `insertHistoryEvent`\n\n**Semantic duplicate finder:**\n\nScans embedded non-protected memories. For each, does KNN k=6 on\n`vec_embeddings`, filters neighbors above threshold, builds clusters\nusing a `seen` set to avoid reprocessing. Transitive dupes caught on\nsubsequent runs.\n\n### 4. Maintenance Worker (maintenance-worker.ts)\n\nAdd to `buildRecommendations()`:\n\n```typescript\nif (report.duplicate.duplicateRatio > 0.05) {\n  recs.push({\n    domain: \"duplicate\",\n    action: \"deduplicateMemories\",\n    trigger: `duplicate ratio ${...}% > 5%`,\n  });\n}\n```\n\nAdd case to `executeRecommendation()`. This makes `executeRecommendation`\nasync (dedup needs embeddings for semantic phase). Propagate async through\n`doTick` and the interval callback. The try/catch already handles errors.\n\n### 5. HTTP API (daemon.ts)\n\n```\nGET  /api/repair/dedup-stats    -> getDedupStats(accessor)\nPOST /api/repair/deduplicate    -> deduplicateMemories(accessor, cfg, ctx, limiter, body)\n```\n\nPOST body accepts: `batchSize`, `dryRun`, `semanticThreshold`, `semanticEnabled`.\nReturns RepairResult + cluster count. 429 if rate-limited.\n\n## Reused Utilities\n\n- `checkRepairGate` / `createRateLimiter` — policy gating (repair-actions.ts)\n- `insertHistoryEvent` — audit trail (transactions.ts)\n- `vectorSearch` — KNN from @signet/core (search.ts)\n- `vectorToBlob` / `syncVecDeleteBySourceExceptHash` — vec helpers (db-helpers.ts)\n- `countChanges` — change count helper (db-helpers.ts)\n- `normalizeAndHashContent` — for backfilling hashes (content-normalization.ts)\n- `writeRepairAudit` — repair audit helper (repair-actions.ts, private but in same file)\n\n## Safety\n\n- Protected memories excluded: `WHERE pinned = 0 AND manual_override = 0`\n- Double-checked in processCluster before any mutations\n- Soft-delete only — nothing permanently destroyed\n- Full audit trail via memory_history\n- Rate-limited and policy-gated like all repair actions\n- Idempotent — running twice is safe (deleted memories excluded from queries)\n- Each cluster processed in its own write tx — partial failure safe\n- Dry-run mode for preview\n\n## Verification\n\n1. `bun run build` — typecheck passes\n2. `bun test` — existing tests still pass\n3. Manual test: `curl localhost:3850/api/repair/dedup-stats` returns stats\n4. Manual test: `curl -X POST localhost:3850/api/repair/deduplicate -d '{\"dryRun\":true}'` returns preview\n5. Manual test: `curl -X POST localhost:3850/api/repair/deduplicate` actually deduplicates\n6. Check `memory_history` for audit entries after dedup run\n7. Verify diagnostic score includes duplicate health via `curl localhost:3850/api/diagnostics`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/nicholai/.claude/projects/-home-nicholai-signet-signetai/c1f7677c-a89f-44e8-8657-6674b3fe7a41.jsonl\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work."},"uuid":"e73475f3-02e3-44db-83d8-e2a14c87e651","timestamp":"2026-02-25T12:38:19.234Z","planContent":"# Backwards Deduplication Pass for Memory Pipeline\n\n## Context\n\nLegacy databases and databases that accumulated memories without the extraction\npipeline have no retroactive deduplication. The write-path dedup (content_hash\nuniqueness) only catches exact duplicates at insert time. There's no mechanism\nto find and merge near-duplicate memories that already exist, and no semantic\nsimilarity-based dedup at all.\n\nThis adds a new repair action that finds duplicate clusters (exact hash +\nsemantic similarity), selects a keeper, merges tags, and soft-deletes the rest.\n\n## Files to Modify\n\n| File | Change |\n|------|--------|\n| `packages/core/src/types.ts:150-155` | Add 4 fields to `PipelineRepairConfig` |\n| `packages/daemon/src/memory-config.ts:65-70,257-283` | Add defaults + clamping for dedup config |\n| `packages/daemon/src/diagnostics.ts` | Add `DuplicateHealth` metric, wire into composite |\n| `packages/daemon/src/repair-actions.ts` | Add `getDedupStats()`, `deduplicateMemories()`, helpers |\n| `packages/daemon/src/pipeline/maintenance-worker.ts` | Add dedup recommendation + execution case |\n| `packages/daemon/src/daemon.ts` | Add `GET /api/repair/dedup-stats` and `POST /api/repair/deduplicate` |\n\n## Implementation\n\n### 1. Config (types.ts + memory-config.ts)\n\nExtend `PipelineRepairConfig`:\n\n```typescript\nreadonly dedupCooldownMs: number;\nreadonly dedupHourlyBudget: number;\nreadonly dedupSemanticThreshold: number;  // cosine similarity 0.0-1.0\nreadonly dedupBatchSize: number;\n```\n\nDefaults: `600000` (10 min), `3` (conservative), `0.92` (high to avoid false merges), `100`.\n\n### 2. Diagnostics (diagnostics.ts)\n\nNew `DuplicateHealth` interface:\n\n```typescript\nexport interface DuplicateHealth extends HealthScore {\n  readonly exactDuplicates: number;    // count of excess exact-hash dupes\n  readonly exactClusters: number;      // number of hash-based clusters\n  readonly totalActive: number;\n  readonly duplicateRatio: number;     // exactDuplicates / totalActive\n}\n```\n\n`getDuplicateHealth(db)` — pure SQL query, groups by `content_hash` where `cnt > 1`.\n\nAdd to `DiagnosticsReport`. Adjust weights:\n- `storage: 0.10` (was 0.12)\n- `index: 0.15` (was 0.17)\n- `duplicate: 0.04` (new)\n\n### 3. Repair Action (repair-actions.ts)\n\n**Read-only stats:**\n\n```typescript\nexport function getDedupStats(accessor: DbAccessor): DedupStats\n```\n\nSQL groups by `content_hash HAVING COUNT(*) > 1`, sums excess.\n\n**Keeper selection algorithm:**\n\nScore each memory in a cluster:\n- `importance * 3` (dominates)\n- `min(access_count, 50) / 50` (normalized)\n- `min(update_count, 20) / 20` (more updates = more curated)\n- recency tiebreaker from `updated_at`\n- +100 for `pinned`, +100 for `manual_override` (these are excluded from\n  clustering queries, but double-checked in processCluster as safety)\n\nHighest score wins. Losers get soft-deleted.\n\n**Tag merging:**\n\nTags are comma-separated strings in the DB. Merge by splitting on `,`,\ndeduping, and rejoining.\n\n**Main action:**\n\n```typescript\nexport async function deduplicateMemories(\n  accessor, cfg, ctx, limiter,\n  options?: { batchSize?, semanticThreshold?, dryRun?, semanticEnabled? }\n): Promise<RepairResult & { clusters: number }>\n```\n\nTwo phases:\n1. **Exact hash clusters** — cheap SQL GROUP BY, batched\n2. **Semantic clusters** — KNN via `vec_embeddings` for memories with\n   embeddings, threshold-gated, only runs if exact phase didn't fill batch\n\nFor each cluster:\n- Fetch all candidates\n- Skip if any pinned/manual_override\n- Score and pick keeper\n- Merge tags into keeper\n- Soft-delete losers with `is_deleted = 1, deleted_at = now`\n- Audit both keeper (\"merged\" event) and losers (\"deleted\" event with\n  reason referencing keeper ID) via `insertHi
  [truncated]


id: 2340744e-585f-4805-aa06-99e9dba7a12a
session_key: 453caed0-751f-45ec-bf6f-d9f4282f4eeb
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T13:16:04.565Z
completed_at: 2026-02-25T13:16:48.176Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"453caed0-751f-45ec-bf6f-d9f4282f4eeb","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"922fe750-6b86-4afc-8736-c4a223694737","toolUseID":"922fe750-6b86-4afc-8736-c4a223694737","timestamp":"2026-02-25T12:38:56.339Z","uuid":"a1c92857-61aa-4525-8eaf-23ed354d3efe"}
  {"type":"file-history-snapshot","messageId":"5866c2a2-380d-4f55-a443-68a87f633f2b","snapshot":{"messageId":"5866c2a2-380d-4f55-a443-68a87f633f2b","trackedFileBackups":{},"timestamp":"2026-02-25T12:48:46.643Z"},"isSnapshotUpdate":false}
  {"parentUuid":"a1c92857-61aa-4525-8eaf-23ed354d3efe","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"453caed0-751f-45ec-bf6f-d9f4282f4eeb","version":"2.1.56","gitBranch":"main","slug":"logical-watching-dahl","type":"user","message":{"role":"user","content":"find a bug and fix it, preferably any bugs that break shit "},"uuid":"5866c2a2-380d-4f55-a443-68a87f633f2b","timestamp":"2026-02-25T12:48:46.512Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"5866c2a2-380d-4f55-a443-68a87f633f2b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"453caed0-751f-45ec-bf6f-d9f4282f4eeb","version":"2.1.56","gitBranch":"main","slug":"logical-watching-dahl","message":{"model":"claude-opus-4-6","id":"msg_01N6cJZWS7ZYMRf3HdvvuHMw","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants me to find and fix bugs in the signetai codebase. Let me start by looking at the current state - there are modified files on the branch that might have issues, and I should explore the codebase for bugs. Let me check the modified files first and then do a broader exploration.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23561,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23561},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUpAj5UbZghrymjp4auJ","type":"assistant","uuid":"73ac527a-1a7b-48a2-b42d-3de7cde6343a","timestamp":"2026-02-25T12:48:52.411Z"}
  {"parentUuid":"73ac527a-1a7b-48a2-b42d-3de7cde6343a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"453caed0-751f-45ec-bf6f-d9f4282f4eeb","version":"2.1.56","gitBranch":"main","slug":"logical-watching-dahl","message":{"model":"claude-opus-4-6","id":"msg_01N6cJZWS7ZYMRf3HdvvuHMw","type":"message","role":"assistant","content":[{"type":"text","text":"alright, let me dig in. i'll start by looking at the modified files on the branch and do a broader sweep for anything that smells off."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23561,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23561},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUpAj5UbZghrymjp4auJ","type":"assistant","uuid":"bd83b5c6-e95b-462d-aff2-8031cd3f260f","timestamp":"2026-02-25T12:48:53.377Z"}
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  {"parentUuid":"2830a16f-1333-4f6d-8600-e2c24275b35e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"453caed0-751f-45ec-bf6f-d9f4282f4eeb","version":"2.1.56","gitBranch":"main","slug":"logical-watching-dahl","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01Mk5QzMgBZKT8msjPWDXe8i","toolUseID":"toolu_01Mk5QzMgBZKT8msjPWDXe8i","timestamp":"2026-02-25T12:48:53.840Z","uuid":"2fc837d8-553f-4458-820a-d32ab4ef0f6c"}
  {"parentUuid":"2830a16f-1333-4f6d-8600-e2c24275b35e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"453caed0-751f-45ec-bf6f-d9f4282f4eeb","version":"2.1.56","gitBranch":"main","slug":"logical-watching-dahl","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01Mk5QzMgBZKT8msjPWDXe8i","type":"tool_result","content":"     1→/**\n     2→ * Core types for Signet\n     3→ */\n     4→\n     5→// ---------------------------------------------------------------------------\n     6→// LLM Provider interface (used by ingest extractors, daemon pipeline, etc.)\n     7→// ---------------------------------------------------------------------------\n     8→\n     9→export interface LlmProvider {\n    10→\treadonly name: string;\n    11→\tgenerate(prompt: string, opts?: { timeoutMs?: number; maxTokens?: number }): Promise<string>;\n    12→\tavailable(): Promise<boolean>;\n    13→}\n    14→\n    15→export interface AgentManifest {\n    16→\tversion: number;\n    17→\tschema: string;\n    18→\n    19→\t// Identity\n    20→\tagent: {\n    21→\t\tname: string;\n    22→\t\tdescription?: string;\n    23→\t\tcreated: string;\n    24→\t\tupdated: string;\n    25→\t};\n    26→\n    27→\t// Owner (optional)\n    28→\towner?: {\n    29→\t\taddress?: string;\n    30→\t\tlocalId?: string;\n    31→\t\tens?: string;\n    32→\t\tname?: string;\n    33→\t};\n    34→\n    35→\t// Harnesses this agent works with\n    36→\tharnesses?: string[];\n    37→\n    38→\t// Embedding configuration\n    39→\tembedding?: {\n    40→\t\tprovider: \"ollama\" | \"openai\";\n    41→\t\tmodel: string;\n    42→\t\tdimensions: number;\n    43→\t\tbase_url?: string;\n    44→\t\tapi_key?: string;\n    45→\t};\n    46→\n    47→\t// Search configuration\n    48→\tsearch?: {\n    49→\t\talpha: number; // Vector weight (0-1)\n    50→\t\ttop_k: number; // Candidates per source\n    51→\t\tmin_score: number; // Minimum threshold\n    52→\t};\n    53→\n    54→\t// Memory configuration\n    55→\tmemory?: {\n    56→\t\tdatabase: string;\n    57→\t\tvectors?: string;\n    58→\t\tsession_budget?: number;\n    59→\t\tdecay_rate?: number;\n    60→\t\tpipelineV2?: Partial<PipelineV2Config>;\n    61→\t};\n    62→\n    63→\t// Trust & verification (optional)\n    64→\ttrust?: {\n    65→\t\tverification: \"none\" | \"erc8128\" | \"gpg\" | \"did\" | \"registry\";\n    66→\t\tregistry?: string;\n    67→\t};\n    68→\n    69→\t// Legacy fields\n    70→\tauth?: {\n    71→\t\tmethod: \"none\" | \"erc8128\" | \"gpg\" | \"did\";\n    72→\t\tchainId?: number;\n    73→\t\t// Phase J: deployment mode auth\n    74→\t\tmode?: \"local\" | \"team\" | \"hybrid\";\n    75→\t\trateLimits?: Record<string, { windowMs?: number; max?: number }>;\n    76→\t};\n    77→\tcapabilities?: string[];\n    78→\tharnessCompatibility?: string[];\n    79→}\n    80→\n    81→export interface Agent {\n    82→\tmanifest: AgentManifest;\n    83→\tsoul: string;\n    84→\tmemory: string;\n    85→\tdbPath: string;\n    86→}\n    87→\n    88→export interface AgentConfig {\n    89→\tbasePath?: string;\n    90→\tdbPath?: string;\n    91→\tautoSync?: boolean;\n    92→\tembeddings?: {\n    93→\t\tprovider: \"openai\" | \"ollama\" | \"local\";\n    94→\t\tmodel?: string;\n    95→\t\tdimensions?: number;\n    96→\t};\n    97→}\n    98→\n    99→// -- Pipeline v2 feature flags --\n   100→\n   101→export const PIPELINE_FLAGS = [\n   102→\t\"enabled\",\n   103→\t\"shadowMode\",\n   104→\t\"mutationsFrozen\",\n   105→\t\"graph.enabled\",\n   106→\t\"reranker.enabled\",\n   107→\t\"autonomous.enabled\",\n   108→\t\"autonomous.frozen\",\n   109→\t\"autonomous.allowUpdateDelete\",\n   110→] as const;\n   111→\n   112→export type PipelineFlag = (typeof PIPELINE_FLAGS)[number];\n   113→\n   114→// -- Pipeline v2 sub-config interfaces --\n   115→\n   116→export interface PipelineExtractionConfig {\n   117→\treadonly provider: \"ollama\" | \"claude-code\";\n   118→\treadonly model: string;\n   119→\treadonly timeout: number;\n   120→\treadonly minConfidence: number;\n   121→}\n   122→\n   123→export interface PipelineWorkerConfig {\n   124→\treadonly pollMs: number;\n   125→\treadonly maxRetries: number;\n   126→\treadonly leaseTimeoutMs: number;\n   127→}\n   128→\n   129→export interface PipelineGraphConfig {\n   130→\treadonly enabled: boolean;\n   131→\treadonly boostWeight: number;\n   132→\treadonly boostTimeoutMs: number;\n   133→}\n   134→\n   135→export interface PipelineRerankerConfig {\n   136→\treadonly enabled: boolean;\n   137→\treadonly model: string;\n   138→\treadonly topN: number;\n   139→\treadonly timeoutMs: number;\n   140→}\n   141→\n   142→export interface PipelineAutonomousConfig {\n   143→\treadonly enabled: boolean;\n   144→\treadonly frozen: boolean;\n   145→\treadonly allowUpdateDelete: boolean;\n   146→\treadonly maintenanceIntervalMs: number;\n   147→\treadonly maintenanceMode: \"observe\" | \"execute\";\n   148→}\n   149→\n   150→export interface PipelineRepairConfig {\n   151→\treadonly reembedCooldownMs: number;\n   152→\treadonly reembedHourlyBudget: number;\n   153→\treadonly requeueCooldownMs: number;\n   154→\treadonly requeueHourlyBudget: number;\n   155→\treadonly dedupCooldownMs: number;\n   156→\treadonly dedupHourlyBudget: number;\n   157→\treadonly dedupSemanticThreshold: number;\n   158→\treadonly dedupBatchSize: number;\n   159→}\n   160→\n   161→export interface PipelineDocumentsConfig {\n   162→\treadonly workerIntervalMs: number;\n   163→\treadonly chunkSize: number;\n   164→\treadonly chunkOverlap: number;\n   165→\treadonly maxContentBytes: number;\n   166→}\n   167→\n   168→export interface PipelineGuardrailsConfig {\n   169→\treadonly maxContentChars: number;\n   170→\treadonly chunkTargetChars: number;\n   171→\treadonly recallTruncateChars: number;\n   172→}\n   173→\n   174→export interface PipelineV2Config {\n   175→\t// Master switches (flat)\n   176→\treadonly enabled: boolean;\n   177→\treadonly shadowMode: boolean;\n   178→\treadonly mutationsFrozen: boolean;\n   179→\treadonly semanticContradictionEnabled: boolean;\n   180→\n   181→\t// Grouped sub-objects\n   182→\treadonly extraction: PipelineExtractionConfig;\n   183→\treadonly worker: PipelineWorkerConfig;\n   184→\treadonly graph: PipelineGraphConfig;\n   185→\treadonly reranker: PipelineRerankerConfig;\n   186→\treado
  [truncated]


id: d63fc4d2-212c-4708-846b-42e52bfe6c1f
session_key: 823d8d4e-ffc5-442b-981e-0009d155e885
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T13:40:39.202Z
completed_at: 2026-02-25T13:41:26.439Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"08513cfb-d43e-4792-ac8a-385c7be26a49","toolUseID":"08513cfb-d43e-4792-ac8a-385c7be26a49","timestamp":"2026-02-25T12:36:10.789Z","uuid":"5dc55796-7f6c-40b9-bf86-3c2262849082"}
  {"type":"file-history-snapshot","messageId":"8c0dffda-ffd7-4545-a302-64c6be16f36b","snapshot":{"messageId":"8c0dffda-ffd7-4545-a302-64c6be16f36b","trackedFileBackups":{},"timestamp":"2026-02-25T12:53:07.719Z"},"isSnapshotUpdate":false}
  {"parentUuid":"5dc55796-7f6c-40b9-bf86-3c2262849082","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","type":"user","message":{"role":"user","content":"im looking for any issues that could be causing context overflow for agents, specifically agents running on openclaw/clawdbot "},"uuid":"8c0dffda-ffd7-4545-a302-64c6be16f36b","timestamp":"2026-02-25T12:53:07.593Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"8c0dffda-ffd7-4545-a302-64c6be16f36b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","message":{"model":"claude-opus-4-6","id":"msg_01VGcLqxq4Ch9VzQyBAZZrha","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants to find issues causing context overflow for agents running on OpenClaw/ClawdBot. This is about the Signet system - specifically how context is assembled and sent to agents, and whether there are issues that could cause the context window to overflow.\n\nLet me explore the relevant areas - the OpenClaw adapter, connector, daemon hooks, and how context is assembled.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23522,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23522},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUpVyF3ehcUUP4XtiKsm","type":"assistant","uuid":"cf75552c-2235-44ee-b753-e640f4d8e2ed","timestamp":"2026-02-25T12:53:14.807Z"}
  {"parentUuid":"cf75552c-2235-44ee-b753-e640f4d8e2ed","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","message":{"model":"claude-opus-4-6","id":"msg_01VGcLqxq4Ch9VzQyBAZZrha","type":"message","role":"assistant","content":[{"type":"text","text":"let me dig into the openclaw adapter and the context assembly pipeline to find potential overflow sources."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23522,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23522},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUpVyF3ehcUUP4XtiKsm","type":"assistant","uuid":"47dee024-c6a9-4a7e-920a-9d0f6fcb47e1","timestamp":"2026-02-25T12:53:15.271Z"}
  {"parentUuid":"47dee024-c6a9-4a7e-920a-9d0f6fcb47e1","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","message":{"model":"claude-opus-4-6","id":"msg_01VGcLqxq4Ch9VzQyBAZZrha","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Wmf2b4UMq5WCu6H6jjaR87","name":"Task","input":{"subagent_type":"Explore","description":"explore openclaw context assembly","prompt":"Explore the OpenClaw adapter and connector code in the signetai monorepo at /home/nicholai/signet/signetai. I need to understand how context is assembled for OpenClaw/ClawdBot agents and find anything that could cause context overflow.\n\nKey areas to investigate:\n1. `packages/adapters/openclaw/src/` - the runtime adapter/plugin\n2. `packages/connector-openclaw/src/` - the connector\n3. `packages/daemon/src/` - specifically hook handlers that return context to agents\n\nFocus on:\n- What data gets injected into agent context (memories, identity files, session data)\n- Any size limits or truncation logic\n- How memories are formatted and how many are included\n- Session start/hook response payloads\n- Any unbounded data that could grow without limit\n\nBe thorough - trace the full path from hook request to response payload.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23522,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23522},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUpVyF3ehcUUP4XtiKsm","type":"assistant","uuid":"2b1201a2-22ba-413c-82dc-ba4c1a547a46","timestamp":"2026-02-25T12:53:20.943Z"}
  {"parentUuid":"2b1201a2-22ba-413c-82dc-ba4c1a547a46","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the OpenClaw adapter and connector code in the signetai monorepo at /home/nicholai/signet/signetai. I need to understand how context is assembled for OpenClaw/ClawdBot agents and find anything that could cause context overflow.\n\nKey areas to investigate:\n1. `packages/adapters/openclaw/src/` - the runtime adapter/plugin\n2. `packages/connector-openclaw/src/` - the connector\n3. `packages/daemon/src/` - specifically hook handlers that return context to agents\n\nFocus on:\n- What data gets injected into agent context (memories, identity files, session data)\n- Any size limits or truncation logic\n- How memories are formatted and how many are included\n- Session start/hook response payloads\n- Any unbounded data that could grow without limit\n\nBe thorough - trace the full path from hook request to response payload."}]},"uuid":"3928145b-c540-4c10-aecc-f2ba512b5f14","timestamp":"2026-02-25T12:53:20.946Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the OpenClaw adapter and connector code in the signetai monorepo at /home/nicholai/signet/signetai. I need to understand how context is assembled for OpenClaw/ClawdBot agents and find anything that could cause context overflow.\n\nKey areas to investigate:\n1. `packages/adapters/openclaw/src/` - the runtime adapter/plugin\n2. `packages/connector-openclaw/src/` - the connector\n3. `packages/daemon/src/` - specifically hook handlers that return context to agents\n\nFocus on:\n- What data gets injected into agent context (memories, identity files, session data)\n- Any size limits or truncation logic\n- How memories are formatted and how many are included\n- Session start/hook response payloads\n- Any unbounded data that could grow without limit\n\nBe thorough - trace the full path from hook request to response payload.","agentId":"ad32887274a5ecb80"},"toolUseID":"agent_msg_01VGcLqxq4Ch9VzQyBAZZrha","parentToolUseID":"toolu_01Wmf2b4UMq5WCu6H6jjaR87","uuid":"a35ab55d-464a-4c0a-87fb-124a043541dc","timestamp":"2026-02-25T12:53:20.947Z"}
  {"parentUuid":"a35ab55d-464a-4c0a-87fb-124a043541dc","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-25T12:53:24.071Z","message":{"model":"claude-sonnet-4-6","id":"msg_01B7FWtJRFY3NTjB1rxMQyi8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_019yq5Z8e5dEnAUwMMviHmJs","name":"Bash","input":{"command":"ls /home/nicholai/signet/signetai/packages/adapters/openclaw/src/ 2>/dev/null && echo \"---\" && ls /home/nicholai/signet/signetai/packages/connector-openclaw/src/ 2>/dev/null","description":"List source files in openclaw adapter and connector"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":19287,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":19287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYUpWwDXvi2JrEXMc112U","uuid":"53b8e190-c109-4a1d-aabc-b18c9069b216"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the OpenClaw adapter and connector code in the signetai monorepo at /home/nicholai/signet/signetai. I need to understand how context is assembled for OpenClaw/ClawdBot agents and find anything that could cause context overflow.\n\nKey areas to investigate:\n1. `packages/adapters/openclaw/src/` - the runtime adapter/plugin\n2. `packages/connector-openclaw/src/` - the connector\n3. `packages/daemon/src/` - specifically hook handlers that return context to agents\n\nFocus on:\n- What data gets injected into agent context (memories, identity files, session data)\n- Any size limits or truncation logic\n- How memories are formatted and how many are included\n- Session start/hook response payloads\n- Any unbounded data that could grow without limit\n\nBe thorough - trace the full path from hook request to response payload.","agentId":"ad32887274a5ecb80"},"toolUseID":"agent_msg_01VGcLqxq4Ch9VzQyBAZZrha","parentToolUseID":"toolu_01Wmf2b4UMq5WCu6H6jjaR87","uuid":"6a218b7d-64b6-4d98-b836-55a96dd42b5e","timestamp":"2026-02-25T12:53:24.072Z"}
  {"parentUuid":"6a218b7d-64b6-4d98-b836-55a96dd42b5e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"823d8d4e-ffc5-442b-981e-0009d155e885","version":"2.1.56","gitBranch":"main","slug":"merry-sauteeing-coral","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-25T12:53:24.589Z","message":{"model":"claude-sonnet-4-6","id":"msg_01B7FWtJRFY3NTjB1rxMQyi8","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01LUp64DS5gEFFbDav4nMbcd","name":"Bash","input":{"command":"ls /home/nicholai/signet/signetai/packages/daemon/src/","description":"List daemon source files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":19287,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":19287},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYUpWwDXvi2JrEXMc112U","uuid":"afc2502c-1405-42e1-
  [truncated]


id: 5693819a-b2c9-4a8e-96b3-816c6ade37ff
session_key: 21ffb649-7cb2-41c6-a6d0-662b333c74ba
harness: claude-code
project: /home/nicholai/signet/signetai
status: processing
created_at: 2026-02-25T14:28:34.199Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"21ffb649-7cb2-41c6-a6d0-662b333c74ba","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"fb374f95-979d-4dd3-b5d0-4c97eada48eb","toolUseID":"fb374f95-979d-4dd3-b5d0-4c97eada48eb","timestamp":"2026-02-25T12:16:10.381Z","uuid":"f08343ac-03b3-4d6f-80e0-cfbe37e9e75f"}
  {"type":"file-history-snapshot","messageId":"7a391dad-53dc-4a05-b227-787e96c50a44","snapshot":{"messageId":"7a391dad-53dc-4a05-b227-787e96c50a44","trackedFileBackups":{},"timestamp":"2026-02-25T12:28:55.548Z"},"isSnapshotUpdate":false}
  {"parentUuid":"f08343ac-03b3-4d6f-80e0-cfbe37e9e75f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"21ffb649-7cb2-41c6-a6d0-662b333c74ba","version":"2.1.56","gitBranch":"main","slug":"expressive-baking-dream","type":"user","message":{"role":"user","content":[{"type":"text","text":"review this PR please, see what it's doing/trying to do and then either approve it or find a better way to implement what its trying to do"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"[encoded data, 10651 characters]
  [truncated]


id: 0ae714ab-af72-4dcd-a37d-dcaf9c31c560
session_key: 6c194570-f7ac-4abb-92c4-b17ef28dada5
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T14:33:35.684Z
completed_at: 2026-02-25T14:34:03.790Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"6c194570-f7ac-4abb-92c4-b17ef28dada5","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"7d497f17-af31-4c84-b37d-57f1d13bb293","toolUseID":"7d497f17-af31-4c84-b37d-57f1d13bb293","timestamp":"2026-02-25T14:31:30.612Z","uuid":"d6f2b80d-881f-4cb8-bceb-922617665ae3"}


id: e36193ca-8e42-4f53-96bc-f2abc37ff245
session_key: 1b9e9d1b-21ad-4156-a9fa-4ece57ab5137
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T14:36:08.938Z
completed_at: 2026-02-25T14:36:40.004Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"1b9e9d1b-21ad-4156-a9fa-4ece57ab5137","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"2e009eab-6184-4232-b7f4-c08b92cbcd79","toolUseID":"2e009eab-6184-4232-b7f4-c08b92cbcd79","timestamp":"2026-02-25T14:33:40.440Z","uuid":"a0332e0b-39d1-441a-b106-d6f4bf9bbd10"}


id: 77a1dc56-7ca2-4694-905a-11dfa55e0e7c
session_key: 58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2
harness: claude-code
project: /home/nicholai/signet/signetai/references
status: completed
result: ok
created_at: 2026-02-25T15:02:38.190Z
completed_at: 2026-02-25T15:03:20.411Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"a8d89a06-0ea3-4477-acd5-9ab334ea478d","toolUseID":"a8d89a06-0ea3-4477-acd5-9ab334ea478d","timestamp":"2026-02-25T13:12:09.426Z","uuid":"b74d8c36-3efb-4c46-b651-8b73f9b3f504"}
  {"type":"file-history-snapshot","messageId":"d94e2e12-9f2a-47d5-a119-8fcbc94c1b01","snapshot":{"messageId":"d94e2e12-9f2a-47d5-a119-8fcbc94c1b01","trackedFileBackups":{},"timestamp":"2026-02-25T13:31:29.788Z"},"isSnapshotUpdate":false}
  {"parentUuid":"b74d8c36-3efb-4c46-b651-8b73f9b3f504","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"58a3f7cc-c7ca-4ece-a41d-cf6209b36aa2","version":"2.1.56","gitBranch":"main","slug":"shimmering-honking-pony","type":"user","message":{"role":"user","content":[{"type":"text","text":"the way I like to think about Signet is that its like a prediction algorithm. i've attached a photo, but the core idea is that we are basically predicting what the best recall method could be in any given context, sentiment or moment, at session start but also on userpromptsubmit and stuff like that.  and it got me thinking, what if we used a rust based transformer to actually train a local model unique to the user's config that runs the memory injection predictions and progressively trains on the memories and sessions of the user? here's an inference pipeline/pattern which could come in handy: @references/microgpt  "},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"[encoded data, 10165 characters]
  [truncated]


id: 8735b997-81f7-4b70-bb3c-2e1eb3ceff7c
session_key: 771005e3-ca5e-48aa-8296-e672a56b7df1
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T15:13:23.591Z
completed_at: 2026-02-25T15:14:06.963Z
transcript:
  {"type":"file-history-snapshot","messageId":"5bbcd8e8-6518-46c5-85f2-b076bf4993c8","snapshot":{"messageId":"5bbcd8e8-6518-46c5-85f2-b076bf4993c8","trackedFileBackups":{},"timestamp":"2026-02-25T14:50:59.202Z"},"isSnapshotUpdate":false}
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"771005e3-ca5e-48aa-8296-e672a56b7df1","version":"2.1.56","gitBranch":"main","slug":"refactored-dancing-eagle","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"1a02955c-8b26-487a-b368-1cc2349e8659","toolUseID":"1a02955c-8b26-487a-b368-1cc2349e8659","timestamp":"2026-02-25T14:50:58.488Z","uuid":"648bc7f2-394a-495f-af38-b50c0baa99e1"}
  {"parentUuid":"648bc7f2-394a-495f-af38-b50c0baa99e1","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"771005e3-ca5e-48aa-8296-e672a56b7df1","version":"2.1.56","gitBranch":"main","slug":"refactored-dancing-eagle","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Prevent Recursive Extraction Loops\n\n## Context\n\nThe Signet daemon's scheduler spawns full Claude Code / OpenCode agent sessions\n(via `spawn.ts`) that inherit the full environment. These spawned agents fire\nSignet's session-start/end hooks, which queue summary jobs, which extract\nmemories, which appear in future sessions -- creating a potentially infinite\nand expensive extraction loop.\n\nThe pipeline's own `ClaudeCodeProvider` is partially guarded (strips `CLAUDECODE`,\nuses `--no-session-persistence`) but doesn't explicitly suppress Signet hooks.\n\nThe fix: a `SIGNET_NO_HOOKS=1` sentinel env var, checked at three layers.\n\n## Changes\n\n### 1. CLI hook guard (packages/cli/src/cli.ts ~line 4174)\n\nAdd a `preAction` hook on `hookCmd` that exits 0 silently when\n`SIGNET_NO_HOOKS=1` is set. This prevents ALL hook subcommands from\nfiring in spawned contexts. Exit 0 so Claude Code doesn't treat it\nas an error.\n\n```ts\nhookCmd.hook(\"preAction\", () => {\n    if (process.env.SIGNET_NO_HOOKS === \"1\") {\n        process.exit(0);\n    }\n});\n```\n\n### 2. Scheduler spawn env (packages/daemon/src/scheduler/spawn.ts ~line 63)\n\nInject `SIGNET_NO_HOOKS: \"1\"` into the child process env so spawned\nagents inherit the sentinel. Strip any existing value first for\nexplicitness.\n\n```ts\nconst { SIGNET_NO_HOOKS: _, ...baseEnv } = process.env;\n\nconst proc = Bun.spawn([resolvedBin, ...args], {\n    cwd: workingDirectory ?? undefined,\n    stdout: \"pipe\",\n    stderr: \"pipe\",\n    env: { ...baseEnv, SIGNET_NO_HOOKS: \"1\" },\n});\n```\n\n### 3. Pipeline provider env (packages/daemon/src/pipeline/provider.ts ~line 131)\n\nAdd `SIGNET_NO_HOOKS: \"1\"` to the ClaudeCodeProvider's child env\nalongside the existing `CLAUDECODE` strip. Belt-and-suspenders for\nthe `--no-session-persistence` flag.\n\n```ts\nconst { CLAUDECODE: _, SIGNET_NO_HOOKS: __, ...cleanEnv } = process.env;\n\nconst proc = Bun.spawn([\"claude\", ...args], {\n    stdout: \"pipe\",\n    stderr: \"pipe\",\n    env: { ...cleanEnv, NO_COLOR: \"1\", SIGNET_NO_HOOKS: \"1\" },\n});\n```\n\n### 4. Daemon HTTP guard (packages/daemon/src/daemon.ts ~line 5074)\n\nAdd `isInternalCall()` helper that checks `x-signet-no-hooks: 1`\nheader. Early-return from the three hook routes. This guards against\nany code path that bypasses the CLI and hits the daemon HTTP API\ndirectly.\n\n```ts\nfunction isInternalCall(c: Context): boolean {\n    return c.req.header(\"x-signet-no-hooks\") === \"1\";\n}\n```\n\nApply to routes at lines 5077, 5107, 5130:\n- `/api/hooks/session-start` -> return `{ inject: \"\", memories: [] }`\n- `/api/hooks/user-prompt-submit` -> return `{ inject: \"\", memoryCount: 0 }`\n- `/api/hooks/session-end` -> return `{ memoriesSaved: 0 }`\n\n## Files Modified\n\n| File | Change | Lines |\n|------|--------|-------|\n| `packages/cli/src/cli.ts` | preAction guard on hookCmd | ~5 |\n| `packages/daemon/src/scheduler/spawn.ts` | env injection | ~4 |\n| `packages/daemon/src/pipeline/provider.ts` | env injection | ~3 |\n| `packages/daemon/src/daemon.ts` | isInternalCall + 3 early returns | ~15 |\n\n## What This Does NOT Change\n\n- Normal user sessions are unaffected (env var not set)\n- Summary worker's direct SQL inserts stay as-is (already safe)\n- Extraction worker's job processing stays as-is (already safe)\n- Session tracker mutex stays as-is (orthogonal concern)\n- No new files, no schema changes, no breaking API changes\n\n## Verification\n\n1. `bun run build` - ensure all packages compile\n2. `bun run typecheck` - no type errors\n3. `bun test` - existing tests pass\n4. Manual: set `SIGNET_NO_HOOKS=1` and run `signet hook session-start -H claude-code --project .` - should exit 0 with no output\n5. Manual: start the daemon, create a scheduled task, verify spawned agent doesn't fire hooks (check daemon logs for absence of session-start/end entries from the spawned session)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/nicholai/.claude/projects/-home-nicholai-signet-signetai/72ef5881-def8-4bcd-85d3-0b774aa60d49.jsonl\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work."},"uuid":"5bbcd8e8-6518-46c5-85f2-b076bf4993c8","timestamp":"2026-02-25T14:50:58.329Z","planContent":"# Plan: Prevent Recursive Extraction Loops\n\n## Context\n\nThe Signet daemon's scheduler spawns full Claude Code / OpenCode agent sessions\n(via `spawn.ts`) that inherit the full environment. These spawned agents fire\nSignet's session-start/end hooks, which queue summary jobs, which extract\nmemories, which appear in future sessions -- creating a potentially infinite\nand expensive extraction loop.\n\nThe pipeline's own `ClaudeCodeProvider` is partially guarded (strips `CLAUDECODE`,\nuses `--no-session-persistence`) but doesn't explicitly suppress Signet hooks.\n\nThe fix: a `SIGNET_NO_HOOKS=1` sentinel env var, checked at three layers.\n\n## Changes\n\n### 1. CLI hook guard (packages/cli/src/cli.ts ~line 4174)\n\nAdd a `preAction` hook on `hookCmd` that exits 0 silently when\n`SIGNET_NO_HOOKS=1` is set. This prevents ALL hook subcommands from\nfiring in spawned contexts. Exit 0 so Claude Code doesn't treat it\nas an error.\n\n```ts\nhookCmd.hook(\"preAction\", () => {\n    if (process.env.SIGNET_NO_HOOKS === \"1\") {\n        process.exit(0);\n    }\n});\n```\n\n### 2. Scheduler spawn env (packages/daemon/src/scheduler/spawn.ts ~line 63)\n\nInject `SIGNET_NO_HOOKS: \"1\"` into the child process env so spawned\nagents inherit the sentinel. Strip any existing value first for\nexplicitness.\n\n```ts\nconst { SIGNET_NO_HOOKS: _, ...baseEnv } = process.env;\n\nconst proc = Bun.spawn([resolvedBin, ...args], {\n    cwd: workingDirectory ?? undefined,\n    stdout: \"pipe\",\n    stderr: \"pipe\",\n    env: { ...baseEnv, SIGNET_NO_HOOKS: \"1\" },\n});\n```\n\n### 3. Pipeline provider env (packages/daemon/src/pipeline/provider.ts ~line 131)\n\nAdd `SIGNET_NO_HOOKS: \"1\"` to the ClaudeCodeProvider's child env\nalongside the existing `CLAUDECODE` strip. Belt-and-suspenders for\nthe `--no-session-persistence` flag.\n\n```ts\nconst { CLAUDECODE: _, SIGNET_NO_HOOKS: __, ...cleanEnv } = process.env;\n\nconst proc = Bun.spawn([\"claude\", ...args], {\n    stdout: \"pipe\",\n    stderr: \"pipe\",\n    env: { ...cleanEnv, NO_COLOR: \"1\", SIGNET_NO_HOOKS: \"1\" },\n});\n```\n\n### 4. Daemon HTTP guard (packages/daemon/src/daemon.ts ~line 5074)\n\nAdd `isInternalCall()` helper that checks `x-signet-no-hooks: 1`\nheader. Early-return from the three hook routes. This guards against\nany code path that bypasses the CLI and hits the daemon HTTP API\ndirectly.\n\n```ts\nfunction isInternalCall(c: Context): boolean {\n    return c.req.header(\"x-signet-no-hooks\") === \"1\";\n}\n```\n\nApply to routes at lines 5077, 5107, 5130:\n- `/api/hooks/session-start` -> return `{ inject: \"\", memories: [] }`\n- `/api/hooks/user-prompt-submit` -> return `{ inject: \"\", memoryCount: 0 }`\n- `/api/hooks/session-end` -> return `{ memoriesSaved: 0 }`\n\n## Files Modified\n\n| File | Change | Lines |\n|------|--------|-------|\n| `packages/cli/src/cli.ts` | preAction guard on hookCmd | ~5 |\n| `packages/daemon/src/scheduler/spawn.ts` | env injection | ~4 |\n| `packages/daemon/src/pipeline/provider.ts` | env injection | ~3 |\n| `packages/daemon/src/daemon.ts` | isInternalCall + 3 early returns | ~15 |\n\n## What This Does NOT Change\n\n- Normal user sessions are unaffected (env var not set)\n- Summary worker's direct SQL inserts stay as-is (already safe)\n- Extraction worker's job processing stays as-is (already safe)\n- Session tracker mutex stays as-is (orthogonal concern)\n- No new files, no schema changes, no breaking API changes\n\n## Verification\n\n1. `bun run build` - ensure all packages compile\n2. `bun run typecheck` - no type errors\n3. `bun test` - existing tests pass\n4. Manual: set `SIGNET_NO_HOOKS=1` and run `signet hook session-start -H claude-code --project .` - should exit 0 with no output\n5. Manual: start the daemon, create a scheduled task, verify spawned agent doesn't fire hooks (check daemon logs for absence of session-start/end entries from the spawned session)\n"}
  {"parentUuid":"5bbcd8e8-6518-46c5-85f2-b076bf4993c8","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"771005e3-ca5e-48aa-8296-e672a56b7df1","version":"2.1.56","gitBranch":"main","slug":"refactored-dancing-eagle","message":{"model":"claude-opus-4-6","id":"msg_013yoRtkumcpDkMHgfvpQ7zy","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me read the relevant files to understand the current code before making changes.","signature":"EvwBCkYICxgCKkC/F/OQc+bJvh9SNvNicXwUZvAfUy4ABV1PNKV/rzMsGizs4wZ6ITFwv6zLFe1tC3YOHuHo+G3UNjfn3dNyQdybEgxhuei/H4BkbzShCpsaDC26nituXF6r4Gh/PyIwHD8LrDcvtjr8gDkT2PxjDqVUeoIP4XNWE4KsmSiHa+mTsqlp2q2A0pQLYZ6ldmmyKmS39IshRNqG0s+l5FMUi8J59N9giKaNulKnpBhcgepQPnY8Cq/ZJRk+4cRpfJPV8jRUDyTP608uYb866xvhtzGNhcRXnFrN9v0kduiJ6/RudFq7PWtZURw8L1dfeeDDzbVASAeqGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":20330,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20330},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUyVDsdmsJjHKorsMwtp","type":"assistant","uuid":"cf598167-51c2-4b2d-85b9-5fed6cf34440","timestamp":"2026-02-25T14:51:01.615Z"}
  {"parentUuid":"cf598167-51c2-4b2d-85b9-5fed6cf34440","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"771005e3-ca5e-48aa-8296-e672a56b7df1","version":"2.1.56","gitBranch":"main","slug":"refactored-dancing-eagle","message":{"model":"claude-opus-4-6","id":"msg_013yoRtkumcpDkMHgfvpQ7zy","type":"message","role":"assistant","content":[{"type":"text","text":"Let me read the four files that need changes."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":20330,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20330},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUyVDsdmsJjHKorsMwtp","type":"assistant","uuid":"60eb60e6-cef7-441a-b690-571a4b10650a","timestamp":"2026-02-25T14:51:02.162Z"}
  {"parentUuid":"60eb60e6-cef7-441a-b690-571a4b10650a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"771005e3-ca5e-48aa-8296-e672a56b7df1","version":"2.1.56","gitBranch":"main","slug":"refactored-dancing-eagle","message":{"
  [truncated]


id: e04cfc78-e325-409b-811b-311f5c70d52b
session_key: 39f26731-4d40-4289-8f0e-13baaadb0dd5
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T15:14:29.662Z
completed_at: 2026-02-25T15:15:15.543Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"cf54d266-ba6d-418b-b746-57b84c208fa5","toolUseID":"cf54d266-ba6d-418b-b746-57b84c208fa5","timestamp":"2026-02-25T15:08:09.009Z","uuid":"8388bb80-b058-4cf6-a9fd-0f5caafa87b2"}
  {"type":"file-history-snapshot","messageId":"dc1813da-f5a7-47fc-a73c-c158c0c68998","snapshot":{"messageId":"dc1813da-f5a7-47fc-a73c-c158c0c68998","trackedFileBackups":{},"timestamp":"2026-02-25T15:08:29.560Z"},"isSnapshotUpdate":false}
  {"parentUuid":"8388bb80-b058-4cf6-a9fd-0f5caafa87b2","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","type":"user","message":{"role":"user","content":"is there anything in @docs/wip/predictive-memory-scorer.md worth adding to @VISION.md ?"},"uuid":"dc1813da-f5a7-47fc-a73c-c158c0c68998","timestamp":"2026-02-25T15:08:29.435Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"dc1813da-f5a7-47fc-a73c-c158c0c68998","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01SsPPQ6qF1dRZEX4QdwmajQ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai's asking whether the predictive memory scorer doc has ideas worth pulling into the vision document. Let me think about this carefully.\n\nI've already read both files from the system reminders. Let me compare them.\n\nVISION.md is a high-level, almost philosophical document about what Signet is. It covers identity, safety, memory, skills, continuity, decentralization. It's written poetically and reads like a manifesto.\n\nThe predictor doc is a detailed technical plan for a specific feature - a per-user trained model that learns which memories to surface.\n\nThe key question: does the predictor introduce any *vision-level* concepts that VISION.md doesn't already cover?\n\n\nLooking at the memory framing in VISION.md, it already emphasizes coherence and persistence as what separates a tool from a mind. But the predictor doc adds something distinct: the idea that memory retrieval becomes *learned* rather than rule-based, improving over time as a personal model trained on your own patterns—running locally without any cloud infrastructure. That progression from basic scoring to a system that genuinely knows you maps directly onto the decentralization and continuity principles already in the vision.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":38108,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38108},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUzpfPSxi8ttiy9hDS31","type":"assistant","uuid":"d1706e36-8dee-4890-b313-2fcc20d7f83f","timestamp":"2026-02-25T15:08:47.403Z"}
  {"parentUuid":"d1706e36-8dee-4890-b313-2fcc20d7f83f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01SsPPQ6qF1dRZEX4QdwmajQ","type":"message","role":"assistant","content":[{"type":"text","text":"yeah, there's one concept the predictor doc captures that VISION.md doesn't touch yet -- **learned adaptation**.\n\nVISION.md talks about memory and coherence beautifully, but it frames it as a static capability. \"signet gives agents coherence\" and \"a mind that persists.\" what's missing is the idea that the system *gets better at knowing you over time*. that it learns from every session what worked and what didn't, and uses that to improve.\n\nthe predictor doc nails it here:\n\n> a model that *knows you* -- one that has learned from every session what makes a memory relevant, what patterns matter, what time of day you work on what project, and which memories actually helped versus which ones just took up context window space.\n\nand:\n\n> A model unique to each user, trained on their own interaction patterns... No cloud. No shared weights. Your model, your patterns, running locally, earning its influence by proving it's better than the baseline.\n\nthat second bit also reinforces the decentralization thesis VISION.md already makes, but grounds it in something concrete -- your model trains locally, on your data, and nobody else touches those weights.\n\ni'd suggest a short addition to the memory/continuity paragraph. something like:\n\n*signet doesn't just remember -- it learns what to remember. a model unique to each user, trained on their own interaction patterns, that gets sharper the longer you use it. no cloud. no shared weights. your patterns, running locally.*\n\nthat's the only gap i see. the rest of the predictor doc is implementation detail that belongs exactly where it is. want me to draft the edit?"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":38108,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":38108},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUzpfPSxi8ttiy9hDS31","type":"assistant","uuid":"63ef1f58-949d-4d86-b1bb-b131f68b1756","timestamp":"2026-02-25T15:08:55.853Z"}
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  {"parentUuid":"a966a921-c535-4222-8558-3a9a38097c09","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"${CLAUDE_PLUGIN_ROOT}/hooks/stop-hook.sh","durationMs":4}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-02-25T15:08:56.024Z","uuid":"dbc54854-44a2-4c8b-943a-f2f21cc053f2","toolUseID":"e3ac7f17-5517-4f21-a816-5f2ce7e5f5d9"}
  {"type":"file-history-snapshot","messageId":"58554c0d-1a6f-4afb-a821-6581a6e7c6be","snapshot":{"messageId":"58554c0d-1a6f-4afb-a821-6581a6e7c6be","trackedFileBackups":{},"timestamp":"2026-02-25T15:10:52.774Z"},"isSnapshotUpdate":false}
  {"parentUuid":"dbc54854-44a2-4c8b-943a-f2f21cc053f2","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","type":"user","message":{"role":"user","content":"sure, throw that in :)"},"uuid":"58554c0d-1a6f-4afb-a821-6581a6e7c6be","timestamp":"2026-02-25T15:10:52.648Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"58554c0d-1a6f-4afb-a821-6581a6e7c6be","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"39f26731-4d40-4289-8f0e-13baaadb0dd5","version":"2.1.56","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_018akr31LvNmWn2WC71PrFM1","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me read VISION.md to get the exact text, then make the edit.","signature":"EugBCkYICxgCKkBQ0X+Has/SnAOEg+Nr7aNIplRzd1wmCY8QlyQHxtTlpPfnKg0j/7CGjNIZ3Orj2+c3i5J6fSMvFzOnN3SAi2c9EgyIQZxslfNKhv5yTwsaDLIHehA19ftbXhLwpSIwyXRfVORuW+NOat9knXClaNi0vwO2VPN5ImQ4wIQS5hmChZUQ1ggJB2wtQ+Ho96QqKlBl+Z4miVDF4xyc6w4KNt55SNeOnrvZWMp1Cj++lTJ+GLpqyah/LCp7RAyI6Wzphnm9DckYltIOqtsqo8KeDo2UZvQqEzJWjrPcYssXn7IjKhgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":864,"cache_read_input_tokens":49211,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":864},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV11CjNvVz5rnPfuwrak","type":"assistant","uuid":"f47a2fdd-6e75-41b4-b49e-bba1ff9716a8","timestamp":"2026-02-25T15:10:56.147Z"}
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  [truncated]


id: 0c2eb0ef-cff7-421d-99c1-4898fb47003f
session_key: 2250dcbd-d244-4466-be52-a090adb0cf71
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T15:27:36.385Z
completed_at: 2026-02-25T15:28:22.926Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"cb5374c8-7179-4b4e-89b5-19d19e8e61e9","toolUseID":"cb5374c8-7179-4b4e-89b5-19d19e8e61e9","timestamp":"2026-02-25T13:16:06.687Z","uuid":"cdb95e44-8dc2-40a8-9476-fe766c8ee8b3"}
  {"type":"file-history-snapshot","messageId":"2c1cbc07-8331-4011-88f0-7ec3cf8ff810","snapshot":{"messageId":"2c1cbc07-8331-4011-88f0-7ec3cf8ff810","trackedFileBackups":{},"timestamp":"2026-02-25T13:16:14.519Z"},"isSnapshotUpdate":false}
  {"parentUuid":"cdb95e44-8dc2-40a8-9476-fe766c8ee8b3","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","type":"user","message":{"role":"user","content":"what can we refactor? "},"uuid":"2c1cbc07-8331-4011-88f0-7ec3cf8ff810","timestamp":"2026-02-25T13:16:14.389Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"2c1cbc07-8331-4011-88f0-7ec3cf8ff810","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","message":{"model":"claude-opus-4-6","id":"msg_01F7kGuMPTyb5XM9EXjnTLmB","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai's asking what we can refactor in the signetai codebase. Let me check the current git status and explore the codebase to identify refactoring opportunities. Given the dirty files and the memory context about ongoing refactoring work, let me look at what's changed and what areas could use attention.\n\nLet me explore the codebase to find refactoring opportunities - looking at file sizes, complexity, and known pain points.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23488,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23488},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUrGCB1vQRE52GDeGs9N","type":"assistant","uuid":"a60e601a-55f1-4e8c-aa36-ffedab9fbd14","timestamp":"2026-02-25T13:16:19.402Z"}
  {"parentUuid":"a60e601a-55f1-4e8c-aa36-ffedab9fbd14","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","message":{"model":"claude-opus-4-6","id":"msg_01F7kGuMPTyb5XM9EXjnTLmB","type":"message","role":"assistant","content":[{"type":"text","text":"good question. let me take a look at what's ripe for it."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23488,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23488},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUrGCB1vQRE52GDeGs9N","type":"assistant","uuid":"9b4ae8f7-6771-4104-834e-1a9398a22286","timestamp":"2026-02-25T13:16:19.961Z"}
  {"parentUuid":"9b4ae8f7-6771-4104-834e-1a9398a22286","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","message":{"model":"claude-opus-4-6","id":"msg_01F7kGuMPTyb5XM9EXjnTLmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Kb4t1j53RDWeUQYtLfhKvA","name":"Task","input":{"subagent_type":"Explore","description":"Find large files and refactoring targets","prompt":"Explore the signetai codebase at /home/nicholai/signet/signetai to identify refactoring opportunities. Focus on:\n\n1. Large files (over 500 LOC) - find the biggest offenders with `wc -l` or by reading\n2. Files with mixed concerns (doing too many things)\n3. Duplicated logic across packages\n4. Any `any` types, `as` assertions, or `!` non-null assertions (these violate project conventions per CLAUDE.md)\n\nKey areas to check:\n- packages/daemon/src/ (especially daemon.ts, routes, pipeline/)\n- packages/cli/src/cli.ts (known to be ~4600 LOC)\n- packages/core/src/\n- packages/daemon/src/hooks.ts (currently modified)\n\nGive me a prioritized list of refactoring targets with file paths, line counts, and what specifically could be improved. Be thorough - check actual file sizes and scan for code smells.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23488,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23488},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUrGCB1vQRE52GDeGs9N","type":"assistant","uuid":"3848839c-6dc6-48e8-8ad6-cfca53b25fb2","timestamp":"2026-02-25T13:16:26.966Z"}
  {"parentUuid":"3848839c-6dc6-48e8-8ad6-cfca53b25fb2","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the signetai codebase at /home/nicholai/signet/signetai to identify refactoring opportunities. Focus on:\n\n1. Large files (over 500 LOC) - find the biggest offenders with `wc -l` or by reading\n2. Files with mixed concerns (doing too many things)\n3. Duplicated logic across packages\n4. Any `any` types, `as` assertions, or `!` non-null assertions (these violate project conventions per CLAUDE.md)\n\nKey areas to check:\n- packages/daemon/src/ (especially daemon.ts, routes, pipeline/)\n- packages/cli/src/cli.ts (known to be ~4600 LOC)\n- packages/core/src/\n- packages/daemon/src/hooks.ts (currently modified)\n\nGive me a prioritized list of refactoring targets with file paths, line counts, and what specifically could be improved. Be thorough - check actual file sizes and scan for code smells."}]},"uuid":"c04ac11b-b8b7-45a9-9cba-9a45b70d8148","timestamp":"2026-02-25T13:16:26.969Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the signetai codebase at /home/nicholai/signet/signetai to identify refactoring opportunities. Focus on:\n\n1. Large files (over 500 LOC) - find the biggest offenders with `wc -l` or by reading\n2. Files with mixed concerns (doing too many things)\n3. Duplicated logic across packages\n4. Any `any` types, `as` assertions, or `!` non-null assertions (these violate project conventions per CLAUDE.md)\n\nKey areas to check:\n- packages/daemon/src/ (especially daemon.ts, routes, pipeline/)\n- packages/cli/src/cli.ts (known to be ~4600 LOC)\n- packages/core/src/\n- packages/daemon/src/hooks.ts (currently modified)\n\nGive me a prioritized list of refactoring targets with file paths, line counts, and what specifically could be improved. Be thorough - check actual file sizes and scan for code smells.","agentId":"ad360def8f9759b9f"},"toolUseID":"agent_msg_01F7kGuMPTyb5XM9EXjnTLmB","parentToolUseID":"toolu_01Kb4t1j53RDWeUQYtLfhKvA","uuid":"ef69861f-2762-4f78-81a6-73c92bc4b03e","timestamp":"2026-02-25T13:16:26.969Z"}
  {"parentUuid":"ef69861f-2762-4f78-81a6-73c92bc4b03e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","message":{"model":"claude-opus-4-6","id":"msg_01F7kGuMPTyb5XM9EXjnTLmB","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NrDfNe34U3QiMpHp1UVGXd","name":"Task","input":{"subagent_type":"Explore","description":"Check type violations and duplication","prompt":"Search the signetai codebase at /home/nicholai/signet/signetai for:\n\n1. TypeScript discipline violations:\n   - `as ` type assertions (grep for ` as ` in .ts files, excluding test files and node_modules)\n   - `any` types (grep for `: any` and `<any>` in .ts files)\n   - `!` non-null assertions (grep for patterns like `variable!.` or `variable!,`)\n   \n2. Duplicated patterns:\n   - Similar fetch/HTTP call patterns across different files\n   - Repeated error handling patterns\n   - Similar database query patterns that could be shared\n\n3. Check packages/daemon/src/hooks.ts specifically since it's currently modified - what does it do and what's its current state?\n\nReport counts and specific file locations for the worst offenders. Focus on packages/ directory, skip node_modules and build output.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23488,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23488},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUrGCB1vQRE52GDeGs9N","type":"assistant","uuid":"e963defa-a24c-4a10-910c-5a9a1e290897","timestamp":"2026-02-25T13:16:31.914Z"}
  {"parentUuid":"e963defa-a24c-4a10-910c-5a9a1e290897","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2250dcbd-d244-4466-be52-a090adb0cf71","version":"2.1.56","gitBranch":"main","slug":"lively-leaping-sloth","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Search the signetai codebase at /home/nicholai/signet/signetai for:\n\n1. TypeScript discipline violations:\n   - `as ` type assertions (grep for ` as ` in .ts files, excluding test files and node_modules)\n   - `any` types (grep for `: any` and `<any>` in .ts files)\n   - `!` non-null assertions (grep for patterns like `variable!.` or `variable!,`)\n   \n2. Duplicated patterns:\n   - Similar fetch/HTTP call patterns across different files\n   - Repeated error handling patterns\n   - Similar database query patterns that could be shared\n\n3. Check packages/daemon/src/hooks.ts specifically since it's currently modified - what does it do and what's its current state?\n\nReport counts and specific file locations for the worst offenders. Focus on packages/ directory, skip node_modules and build output."}]},"uuid":"64e02268-b10e-4a57-acd1-0bcd7aca2dbc","timestamp":"2026-02-25T13:16:31.917Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Search the signetai codebase at /home/nicholai/signet/signetai for:\n\n1. TypeScript discipline violations:\n   - `as ` type assertions (grep for ` as ` in .ts files, excluding test files and node_modules)\n   - `any` types (grep for `: any` and `<any>` in .ts files)\n   - `!` non-null assertions (grep for patterns like `variable!.` or `variable!,`)\n   \n2. Duplicated pa
  [truncated]


id: 0293670a-8179-424e-aae8-2116f4d5d8d2
session_key: 60305782-1227-414a-80c5-516ba8a18fb9
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T15:27:54.727Z
completed_at: 2026-02-25T15:29:10.735Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"23702039-5f7b-4cae-b3fb-1e1dc70bf55b","toolUseID":"23702039-5f7b-4cae-b3fb-1e1dc70bf55b","timestamp":"2026-02-25T12:15:55.373Z","uuid":"7ab04e59-4c7c-40a7-af23-fecd526a2220"}
  {"type":"file-history-snapshot","messageId":"bf6db1e3-6e59-446a-b9f5-6e902b1cb850","snapshot":{"messageId":"bf6db1e3-6e59-446a-b9f5-6e902b1cb850","trackedFileBackups":{},"timestamp":"2026-02-25T12:48:03.869Z"},"isSnapshotUpdate":false}
  {"parentUuid":"7ab04e59-4c7c-40a7-af23-fecd526a2220","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","type":"user","message":{"role":"user","content":"is there a way we could visually represent the memory pipeline in the dashboard as a sort of flowchart or graphic? like @public/memory-loop-v2.jpg or @docs/memory-loop.mmd - something with actual realtime visualization and interactivity to *see* the pipeline working"},"uuid":"bf6db1e3-6e59-446a-b9f5-6e902b1cb850","timestamp":"2026-02-25T12:48:03.750Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"bf6db1e3-6e59-446a-b9f5-6e902b1cb850","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","message":{"model":"claude-opus-4-6","id":"msg_01GT3odZDAbhXpTMrsyqDzF1","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants a real-time, interactive visualization of the memory pipeline in the dashboard - something like the static diagram but live, showing data flowing through the system. Let me think about what this involves and explore the codebase to understand the dashboard architecture and what data is available.\n\nLet me explore the dashboard and the pipeline to understand what's possible.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23650,"cache_read_input_tokens":14480,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23650},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUp7ZrGGvWxYq4nMcrJC","type":"assistant","uuid":"1e4ae9a5-abc6-4930-9fd8-5b8800ba3c50","timestamp":"2026-02-25T12:48:09.086Z"}
  {"parentUuid":"1e4ae9a5-abc6-4930-9fd8-5b8800ba3c50","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","message":{"model":"claude-opus-4-6","id":"msg_01GT3odZDAbhXpTMrsyqDzF1","type":"message","role":"assistant","content":[{"type":"text","text":"that's a great idea - turning that static diagram into a living, breathing thing in the dashboard. let me dig into what we're working with."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23650,"cache_read_input_tokens":14480,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23650},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUp7ZrGGvWxYq4nMcrJC","type":"assistant","uuid":"afe0633b-e5bc-4fc9-8d2e-9ea7cdc642c5","timestamp":"2026-02-25T12:48:10.154Z"}
  {"parentUuid":"afe0633b-e5bc-4fc9-8d2e-9ea7cdc642c5","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","message":{"model":"claude-opus-4-6","id":"msg_01GT3odZDAbhXpTMrsyqDzF1","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013VgRxWqindhjSAKdb23gry","name":"Task","input":{"subagent_type":"Explore","description":"Explore dashboard architecture","prompt":"Explore the Signet dashboard architecture at packages/cli/dashboard/. I need to understand:\n\n1. What framework/libraries are used (Svelte 5, routing, component patterns)\n2. What existing visualization components exist (especially 3d-force-graph, any D3, any flowchart/graph libs)\n3. The overall page/tab structure - how are pages organized\n4. What CSS/styling approach is used (Tailwind, CSS vars, etc.)\n5. Any existing components that render pipeline or system status info\n\nBe thorough - check package.json for dependencies, look at the src/ structure, and read a few key components to understand patterns."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23650,"cache_read_input_tokens":14480,"output_tokens":352,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":23650,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYUp7ZrGGvWxYq4nMcrJC","type":"assistant","uuid":"32e11b4b-f7c8-4b43-92b6-062d788b6003","timestamp":"2026-02-25T12:48:15.189Z"}
  {"parentUuid":"32e11b4b-f7c8-4b43-92b6-062d788b6003","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the Signet dashboard architecture at packages/cli/dashboard/. I need to understand:\n\n1. What framework/libraries are used (Svelte 5, routing, component patterns)\n2. What existing visualization components exist (especially 3d-force-graph, any D3, any flowchart/graph libs)\n3. The overall page/tab structure - how are pages organized\n4. What CSS/styling approach is used (Tailwind, CSS vars, etc.)\n5. Any existing components that render pipeline or system status info\n\nBe thorough - check package.json for dependencies, look at the src/ structure, and read a few key components to understand patterns."}]},"uuid":"eeb785b8-98b0-400e-85f8-ecc0f2a45f40","timestamp":"2026-02-25T12:48:15.193Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the Signet dashboard architecture at packages/cli/dashboard/. I need to understand:\n\n1. What framework/libraries are used (Svelte 5, routing, component patterns)\n2. What existing visualization components exist (especially 3d-force-graph, any D3, any flowchart/graph libs)\n3. The overall page/tab structure - how are pages organized\n4. What CSS/styling approach is used (Tailwind, CSS vars, etc.)\n5. Any existing components that render pipeline or system status info\n\nBe thorough - check package.json for dependencies, look at the src/ structure, and read a few key components to understand patterns.","agentId":"a4576546fabcc694a"},"toolUseID":"agent_msg_01GT3odZDAbhXpTMrsyqDzF1","parentToolUseID":"toolu_013VgRxWqindhjSAKdb23gry","uuid":"d9d62f3a-388e-464a-a2ec-0d0e9cfadb80","timestamp":"2026-02-25T12:48:15.193Z"}
  {"parentUuid":"d9d62f3a-388e-464a-a2ec-0d0e9cfadb80","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-25T12:48:16.957Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01VtHURruEmE7JSKrNw9ZUcG","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01UiUCvfZuLxxckqozsL37Ky","name":"Read","input":{"file_path":"/home/nicholai/signet/signetai/packages/cli/dashboard"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":10806,"cache_read_input_tokens":32959,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":10806},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYUp8PNkPZqrQPU36F63M","uuid":"5a54500a-0484-4156-8f62-fa31bdddf118"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the Signet dashboard architecture at packages/cli/dashboard/. I need to understand:\n\n1. What framework/libraries are used (Svelte 5, routing, component patterns)\n2. What existing visualization components exist (especially 3d-force-graph, any D3, any flowchart/graph libs)\n3. The overall page/tab structure - how are pages organized\n4. What CSS/styling approach is used (Tailwind, CSS vars, etc.)\n5. Any existing components that render pipeline or system status info\n\nBe thorough - check package.json for dependencies, look at the src/ structure, and read a few key components to understand patterns.","agentId":"a4576546fabcc694a"},"toolUseID":"agent_msg_01GT3odZDAbhXpTMrsyqDzF1","parentToolUseID":"toolu_013VgRxWqindhjSAKdb23gry","uuid":"9300896c-750d-4266-b913-f6a053840262","timestamp":"2026-02-25T12:48:16.958Z"}
  {"parentUuid":"9300896c-750d-4266-b913-f6a053840262","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.56","gitBranch":"main","slug":"floofy-churning-narwhal","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"tool_result","content":"EISDIR: illegal operation on a directory, read '/home/nicholai/signet/signetai/packages/cli/dashboard'","is_error":true,"tool_use_id":"toolu_01UiUCvfZuLxxckqozsL37Ky"}]},"uuid":"fdeb90db-13fd-4d00-9d13-25e3f217cc3b","timestamp":"2026-02-25T12:48:16.963Z","toolUseResult":"Error: EISDIR: illegal operation on a directory, read '/home/nicholai/signet/signetai/packages/cli/dashboard'"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the Signet dashboard architecture at packages/cli/dashboard/. I need to understand:\n\n1. What framework/libraries are used (Svelte 5, routing, component patterns)\n2. What existing visualization components exist (especially 3d-force-graph, any D3, any flowchart/graph libs)\n3. The overall page/tab structure - how are pages organized\n4. What CSS/styling approach is used (Tailwind, CSS vars, etc.)\n5. Any existing components that render pipeline or system status info\n\nBe thorough - check package.json for dependencies, look at the src/ structure, and read a few key components to understand patterns.","agentId":"a4576546fabcc694a"},"toolUseID":"agent_msg_01GT3odZDAbhXpTMrsyqDzF1","parentToolUseID":"toolu_013VgRxWqindhjSAKdb23gry","uuid":"c6924257-b635-4f4a-a6a2-5960528ed53a","timestamp":"2026-02-25T12:48:17.293Z"}
  {"parentUuid":"c6924257-b635-4f4a-a6a2-5960528ed53a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"60305782-1227-414a-80c5-516ba8a18fb9","version":"2.1.5
  [truncated]


id: 6e614f21-1ac0-430a-9240-f60c977c8a18
session_key: 5fa14eff-72b6-4880-b832-988cf8a98e9a
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T15:30:13.115Z
completed_at: 2026-02-25T15:30:53.849Z
transcript:
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  {"parentUuid":"fcabc76e-4142-4b11-8a27-a1614ea8baa2","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"5fa14eff-72b6-4880-b832-988cf8a98e9a","version":"2.1.56","gitBranch":"main","slug":"elegant-moseying-russell","type":"user","message":{"role":"user","content":"@docs/wip/openclaw-integration-strategy.md  could you please come up with a nice feature we can implement now for openclaw that either makes it easier for it's current memory pipeline to be built on top of or copies a useful pattern from our system into theirs, we need to make sure to follow their exact contribution protocol, deploy subagents for the research and interview me with any questions you may have "},"uuid":"e6cace4e-575f-4bd1-91de-7735641cb3d4","timestamp":"2026-02-25T12:35:54.999Z","todos":[],"permissionMode":"plan"}
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  {"parentUuid":"f5276659-9e00-40ca-8bd1-47a4c728b0a9","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"5fa14eff-72b6-4880-b832-988cf8a98e9a","version":"2.1.56","gitBranch":"main","slug":"elegant-moseying-russell","message":{"model":"claude-opus-4-6","id":"msg_01Vjkf7h1uBH52cPU47D1F7B","type":"message","role":"assistant","content":[{"type":"text","text":"let me dig into both sides of this - openclaw's current memory implementation and our signet patterns that could translate well. i'll spin up parallel research agents."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":27462,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":27462},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUoBrHURdn1LPCi9xVXf","type":"assistant","uuid":"76a23e4c-b0c9-4ad7-9779-c619949b429e","timestamp":"2026-02-25T12:36:01.219Z"}
  {"parentUuid":"76a23e4c-b0c9-4ad7-9779-c619949b429e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"5fa14eff-72b6-4880-b832-988cf8a98e9a","version":"2.1.56","gitBranch":"main","slug":"elegant-moseying-russell","message":{"model":"claude-opus-4-6","id":"msg_01Vjkf7h1uBH52cPU47D1F7B","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01HaZnt1QLiNggLYroQeWLnJ","name":"Task","input":{"subagent_type":"Explore","description":"Explore OpenClaw memory-lancedb plugin","prompt":"I need to thoroughly explore the OpenClaw memory plugin implementation. OpenClaw is likely installed or cloned somewhere on this system. Search for:\n\n1. Find any OpenClaw installation or clone on the system - check common locations like /home/nicholai/, ~/openclaw, /mnt/work/dev/, or look for openclaw in package.json files\n2. If found, examine the memory-lancedb extension/plugin - its full source code, how memories are stored, searched, created, and managed\n3. Look at their contribution guidelines - PR templates, .github/pull_request_template.md, CONTRIBUTING.md\n4. Examine their plugin/extension architecture - how plugins register, what APIs they expose\n5. Look at any memory-core package or base memory interfaces\n\nAlso check if there's a local fork or reference copy in the signetai repo under references/ or similar.\n\nBe very thorough - read full source files, not just snippets. I need to understand their exact memory tool schemas, search implementation, and storage format.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":27462,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":27462},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYUoBrHURdn1LPCi9xVXf","type":"assistant","uuid":"75cfce33-8373-4bad-8ef5-eab8a0b67c09","timestamp":"2026-02-25T12:36:09.951Z"}
  {"parentUuid":"75cfce33-8373-4bad-8ef5-eab8a0b67c09","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"5fa14eff-72b6-4880-b832-988cf8a98e9a","version":"2.1.56","gitBranch":"main","slug":"elegant-moseying-russell","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"I need to thoroughly explore the OpenClaw memory plugin implementation. OpenClaw is likely installed or cloned somewhere on this system. Search for:\n\n1. Find any OpenClaw installation or clone on the system - check common locations like /home/nicholai/, ~/openclaw, /mnt/work/dev/, or look for openclaw in package.json files\n2. If found, examine the memory-lancedb extension/plugin - its full source code, how memories are stored, searched, created, and managed\n3. Look at their contribution guidelines - PR templates, .github/pull_request_template.md, CONTRIBUTING.md\n4. Examine their plugin/extension architecture - how plugins register, what APIs they expose\n5. Look at any memory-core package or base memory interfaces\n\nAlso check if there's a local fork or reference copy in the signetai repo under references/ or similar.\n\nBe very thorough - read full source files, not just snippets. I need to understand their exact memory tool schemas, search implementation, and storage format."}]},"uuid":"1cb3385f-1c12-40be-8e95-106cf0bfb8d8","timestamp":"2026-02-25T12:36:09.954Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"I need to thoroughly explore the OpenClaw memory plugin implementation. OpenClaw is likely installed or cloned somewhere on this system. Search for:\n\n1. Find any OpenClaw installation or clone on the system - check common locations like /home/nicholai/, ~/openclaw, /mnt/work/dev/, or look for openclaw in package.json files\n2. If found, examine the memory-lancedb extension/plugin - its full source code, how memories are stored, searched, created, and managed\n3. Look at their contribution guidelines - PR templates, .github/pull_request_template.md, CONTRIBUTING.md\n4. Examine their plugin/extension architecture - how plugins register, what APIs they expose\n5. Look at any memory-core package or base memory interfaces\n\nAlso check if there's a local fork or reference copy in the signetai repo under references/ or similar.\n\nBe very thorough - read full source files, not just snippets. I need to understand their exact memory tool schemas, search implementation, and storage format.","agentId":"acedbdd0675d20a69"},"toolUseID":"agent_msg_01Vjkf7h1uBH52cPU47D1F7B","parentToolUseID":"toolu_01HaZnt1QLiNggLYroQeWLnJ","uuid":"2afe61a4-0a7b-43c1-a7c8-276e08d0e9ff","timestamp":"2026-02-25T12:36:09.954Z"}
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  {"parentUuid":"0b6f3e73-cb93-4102-b2c7-b96b51cadd1d","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"5fa14eff-72b6-4880-b832-988cf8a98e9a","version":"2.1.56","gitBranch":"main","slug":"elegant-moseying-russell","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-
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id: 1d11a1de-26a1-48ed-be88-2bfd31654d7e
session_key: 91204f3c-6729-4bdb-8e14-1e10df5b823a
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T15:54:20.493Z
completed_at: 2026-02-25T15:55:14.862Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"91204f3c-6729-4bdb-8e14-1e10df5b823a","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"129bfbaa-0316-4395-8e31-657997fda78b","toolUseID":"129bfbaa-0316-4395-8e31-657997fda78b","timestamp":"2026-02-25T15:11:31.273Z","uuid":"28004936-4a08-44fb-855d-5621f9459fe0"}
  {"type":"file-history-snapshot","messageId":"eb03aba0-d6b6-4585-bcea-4d166a526172","snapshot":{"messageId":"eb03aba0-d6b6-4585-bcea-4d166a526172","trackedFileBackups":{},"timestamp":"2026-02-25T15:11:58.105Z"},"isSnapshotUpdate":false}
  {"parentUuid":"28004936-4a08-44fb-855d-5621f9459fe0","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"91204f3c-6729-4bdb-8e14-1e10df5b823a","version":"2.1.56","gitBranch":"main","type":"user","message":{"role":"user","content":[{"type":"text","text":"what do you think of this compared to @docs/wip/predictive-memory-scorer.md ?"},{"type":"image","source":{"type":"base64","media_type":"image/png","data":"[encoded data, 10745 characters]
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id: 3f8b4dd7-d5b5-4d7a-b488-9808af05f6d6
session_key: 648113cb-2b90-4fc9-b169-a9f8bed33b12
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T16:04:50.869Z
completed_at: 2026-02-25T16:05:48.592Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"648113cb-2b90-4fc9-b169-a9f8bed33b12","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"0a4d1947-4afa-43b0-bfd9-f1baaedb9314","toolUseID":"0a4d1947-4afa-43b0-bfd9-f1baaedb9314","timestamp":"2026-02-25T15:54:23.212Z","uuid":"4150e723-0396-4dee-89c6-fa0d7d50af34"}
  {"type":"file-history-snapshot","messageId":"ee1bfa19-6f39-499f-80a4-701eca278907","snapshot":{"messageId":"ee1bfa19-6f39-499f-80a4-701eca278907","trackedFileBackups":{},"timestamp":"2026-02-25T15:55:25.907Z"},"isSnapshotUpdate":false}
  {"parentUuid":"4150e723-0396-4dee-89c6-fa0d7d50af34","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"648113cb-2b90-4fc9-b169-a9f8bed33b12","version":"2.1.56","gitBranch":"main","slug":"purrfect-seeking-piglet","type":"user","message":{"role":"user","content":"got some feedback on @docs/wip/predictive-memory-scorer.md \n\nThis is an exceptionally well-thought-out, deeply engineered spec. You are moving from a standard RAG/heuristic paradigm to a truly agentic, continuous-learning system. The architecture is pragmatic (choosing a custom Rust micro-autograd implementation over bringing in heavy ML dependencies like PyTorch) and the rollout strategy mitigates risk beautifully.\n\n\"The difference between a tool that remembers and a mind that persists\" is a fantastic North Star, and the mechanics you've designed actually support it.\n\nHere is my technical assessment of the spec, broken down by what is brilliant and a few areas where you might hit friction.\n\n## Standout Strengths\n\n* **Dynamic Baseline Weighting via RRF:** Using Reciprocal Rank Fusion (RRF) parameterized by a dynamic $\\alpha$ based on an Exponential Moving Average (EMA) of the NDCG success rate is the strongest piece of this design. It guarantees graceful degradation. The model literally has to \"earn\" its influence.\n* **The Zero-Dependency Rust Sidecar:** Forking `microgpt` for operation-level autograd to build a ~370K parameter model is highly ambitious but absolutely the right move for a local, edge-first architecture. It keeps the binary size negligible and inference times sub-millisecond, avoiding the massive overhead of ONNX runtime or LibTorch.\n* **Outcome-Driven Labels:** Relying on the continuity scorer (LLM-as-a-judge) to measure final session outcomes rather than trying to hand-label memory relevance is exactly in line with current agentic memory research (like Memory-R1).\n* **A/B Preference Real-Time Injection:** The randomized A/B injection into the agent's prompt to force a real-time `[signet:pref=X]` signal is brilliant. It gives you high-frequency, per-interaction ground truth without requiring external human labeling.\n\n## Areas for Refinement & Potential Friction\n\nWhile the spec is solid, there are a few technical realities you should anticipate during implementation:\n\n### 1. HashTrick Collisions in Technical Contexts\n\nYou specified 4096 buckets for the HashTrick tokenizer to avoid OOV (Out of Vocabulary) problems.\n\n* **The Risk:** If your users are interacting with codebases, log files, or highly technical jargon, vocabulary entropy is massive. Hash collisions in a 4096-bucket space will be frequent. Two completely different variable names might hash to the same bucket, blurring the model's ability to distinguish them.\n* **Suggestion:** Consider bumping this to 16,384 or 32,768 buckets. At $d=64$, 16K buckets is only ~1M parameters. It easily fits in the L2 cache, keeps inference blazing fast, but dramatically reduces collision rates for code-heavy memories.\n\n### 2. Listwise Loss Temperature Tuning\n\nYour proposed Listwise Ranking Loss uses KL divergence:\n\n\n$$L = \\sum P_{true} \\log\\left(\\frac{P_{true}}{P_{model}}\\right)$$\n\n* **The Risk:** The conversion of `model_scores` and `true_scores` to probabilities via softmax relies heavily on the `temperature` parameter. If the continuity scorer outputs soft labels (e.g., mostly 0.5s and 0.6s), the $P_{true}$ distribution will be very flat. The model will struggle to learn distinct rankings from flat distributions.\n* **Suggestion:** You may need to apply an aggressive temperature (e.g., $T < 1.0$) to the $P_{true}$ softmax to sharpen the LLM's soft labels and force the model to care about the slight margins between \"somewhat relevant\" and \"highly relevant\".\n\n### 3. The \"Unlucky\" Negative Samples\n\nYour label construction assigns a default `label = 0.0` for random non-injected memories (3:1 ratio).\n\n* **The Risk:** Because the baseline heuristic ($0.95^{days}$) is naive, it might have missed perfectly relevant memories. If you sample those as strict `0.0` negatives, you are actively training the model to *agree with the baseline's mistakes*.\n* **Suggestion:** Pass the negative samples through a lightweight, high-recall filter (even just cosine similarity of the embeddings) before assigning the strict `0.0`. If a memory wasn't injected but has high vector similarity to the transcript, assign it a `0.2` or `0.3` instead of a harsh `0.0`.\n\n### 4. Concept Drift \"Catastrophic Forgetting\"\n\nWhen the success rate EMA drops and drift is detected, your plan is to retrain the existing weights with a 2x learning rate.\n\n* **The Risk:** A 2x learning rate on a small, locally-trained parameter space might cause catastrophic forgetting. The model might quickly learn the new project but instantly forget the temporal patterns (\"nicholai works on ooIDE in the evenings\") it spent 200 sessions learning.\n* **Suggestion:** Keep the standard learning rate, but upweight the loss for the most recent $N$ sessions in the training batch, or introduce a small replay buffer of the user's highest-scoring historical sessions to mix in with the new data.\n\n### 5. RRF Constant ($k$)\n\nYou are using the standard $k=60$ for your RRF implementation:\n\n\n$$RRF\\_score = \\frac{\\alpha}{k + rank_{baseline}} + \\frac{1-\\alpha}{k + rank_{predictor}}$$\n\n* **The Risk:** $k=60$ is tuned for standard document retrieval where candidate lists are thousands of items long. If you are only reranking 50 candidate memories, the denominator will be dominated by the $k=60$ constant, compressing the score variance and making ranks 1 and 10 look mathematically very similar.\n* **Suggestion:** Drop $k$ to roughly 10 or 15 for this scale."},"uuid":"ee1bfa19-6f39-499f-80a4-701eca278907","timestamp":"2026-02-25T15:55:25.762Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"ee1bfa19-6f39-499f-80a4-701eca278907","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"648113cb-2b90-4fc9-b169-a9f8bed33b12","version":"2.1.56","gitBranch":"main","slug":"purrfect-seeking-piglet","message":{"model":"claude-opus-4-6","id":"msg_01NgAXf3K8ems57dm5N7zzVa","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai got external feedback on the predictive memory scorer spec and wants me to review it and plan how to incorporate the suggestions. Let me read through the feedback carefully and think about each point.\n\nThe feedback has 5 concrete suggestions:\n1. HashTrick buckets: 4096 → 16K or 32K\n2. Listwise loss temperature tuning\n3. Negative sample filtering instead of hard 0.0\n4. Drift reset: replay buffer instead of 2x LR\n5. RRF k constant: 60 → 10-15\n\nThese are all solid points. Let me think about each one and then update the spec doc.\n\n\nSo Nicholai wants me to review the feedback, give my take, and plan how to incorporate it into the spec. Let me work through each suggestion: the HashTrick bucket increase makes sense since 4096 is too constrained for code-heavy content, and bumping to 16K would bring us to around 1.1M parameters at d=64, which still fits comfortably under our 2M budget and stays within L2 cache. The listwise loss temperature tuning is worth exploring too.\n\nThe negative samples point is the most critical one—we're essentially training the model to replicate baseline mistakes, which creates a bootstrapping problem. The cosine similarity filter is elegant, and since we already have embeddings computed, filtering is nearly free. For drift reset, the catastrophic forgetting concern is real, and a replay buffer approach using top historical sessions by continuity score beats just cranking up the learning rate. On the RRF k constant, the math checks out—with 50 candidates and k=60, rank 1 gets about 0.0164 and rank 50 gets a much lower score, which should give us better ranking dynamics.","signature":"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"}],"stop_reaso
  [truncated]


id: 7fc53cd2-b2a2-4527-9ca0-01a505cca5e2
session_key: 03c7bb59-f8b8-4b81-8a6b-a00de29fbe4f
harness: claude-code
project: /home/nicholai/signet/signetai
status: dead
created_at: 2026-02-25T16:16:20.688Z
error: Failed to parse LLM summary response
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"03c7bb59-f8b8-4b81-8a6b-a00de29fbe4f","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"3b863a2f-2d4e-4a57-b002-fbdd14791159","toolUseID":"3b863a2f-2d4e-4a57-b002-fbdd14791159","timestamp":"2026-02-25T16:04:54.460Z","uuid":"2ba4689f-8663-47b4-b1d7-da861d724ed5"}
  {"type":"file-history-snapshot","messageId":"59cfe820-2b71-40bd-8320-4fcbde0d82ec","snapshot":{"messageId":"59cfe820-2b71-40bd-8320-4fcbde0d82ec","trackedFileBackups":{},"timestamp":"2026-02-25T16:05:33.931Z"},"isSnapshotUpdate":false}
  {"parentUuid":"2ba4689f-8663-47b4-b1d7-da861d724ed5","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"03c7bb59-f8b8-4b81-8a6b-a00de29fbe4f","version":"2.1.56","gitBranch":"main","slug":"immutable-imagining-panda","type":"user","message":{"role":"user","content":"i got some feedback on @docs/wip/predictive-memory-scorer.md \n\nthis is **very strong**. like, legitimately strong design work - not just \"cool idea\" strong, but \"you already thought through the ugly parts\" strong.\n\nyou’re not pitching a vibe, you’re pitching a system with:\n\n* explicit failure modes\n* measurable success criteria\n* rollback behavior\n* observability\n* data lineage\n* anti-bias controls (A/B randomization, blind judge)\n* drift handling\n\nthat combo is rare. most memory-system docs stop at \"we’ll train a reranker.\" yours goes all the way to \"what happens when the judge is noisy and the sidecar crashes at 3am.\"\n\n## what you nailed\n\n### 1) You picked the right battlefield\n\nYou are solving **ranking**, not generation. That matters.\n\nA lot of people overbuild this into a mini-transformer cathedral and then wonder why latency, data hunger, and debugging are awful. Your cross-attention scorer + side signals is the right shape for the problem.\n\nThe key insight is correct: memory retrieval quality is mostly a **ranking and calibration** problem.\n\n### 2) Earned influence via RRF + EMA is excellent\n\nThis is probably the best part of the design.\n\nYou avoided the classic trap:\n\n* \"turn on learned scorer\"\n* user experience degrades\n* nobody trusts it again\n\nInstead, you made the predictor **earn its influence**. That is exactly how you ship risky intelligence features in a production-ish system.\n\nRRF was also a smart choice because score calibration across two systems is always cursed. Rank fusion sidesteps a whole category of nonsense.\n\n### 3) Phase 0 is treated as a real prerequisite\n\nThank god.\n\nYou called out the most important thing plainly: **you can’t train what you didn’t log**. The `session_memories` table is the real foundation here, not the Rust model. That is the kind of thinking that saves months.\n\n### 4) Observability is not an afterthought\n\nThe diagnostics, timeline events, error ring, latency histograms, dashboard modes, audit endpoints - this is exactly what makes an ML-ish system debuggable by humans.\n\nYou also did something a lot of teams skip: you designed observability for **three audiences**:\n\n* user\n* agent\n* developer\n\nThat is very mature product thinking.\n\n### 5) You handled cold start and drift like an adult\n\nCold start lockout criteria are solid. Drift reset via usefulness decline (instead of trying to infer topic shifts directly) is pragmatic and sane.\n\nThis is one of those \"less clever, more correct\" choices.\n\n---\n\n## the parts I’d push on (important stuff)\n\n### 1) Your label construction is good, but there is a leakage / bias risk\n\nYou are using the continuity scorer to judge usefulness, which is fine, but the scorer is downstream of the injected context and transcript. That means it can inherit:\n\n* agent style quirks\n* prompt framing bias\n* verbosity bias\n* recency bias\n* judge model drift\n\nYou already noticed this and added confidence gating + auditability, which is great. I’d still add one more safeguard:\n\n* **Periodic human spot-check calibration set** (small, maybe 20-50 sessions)\n\n  * not for training\n  * just for validating the judge\n  * used to detect when the continuity scorer starts rewarding the wrong thing\n\notherwise you risk the whole system learning to please the judge instead of helping the user (classic reward hacking, just in a suit and tie).\n\n### 2) The agent preference signal is clever, but prompt-injection vulnerable\n\nYou already mention gaming risk and comparison-id gating, which is good. The weak point is not spoofing the tag format - it’s **semantic manipulation**.\n\nA malicious or just weird user prompt could steer the agent to prefer one label consistently (\"always choose A\"). Since you randomize A/B, this averages out somewhat, but I would still treat the per-interaction preference as:\n\n* **auxiliary signal**\n* capped weight\n* never allowed to override session-end relevance labels on its own\n\nBasically, use it as a weak prior, not a judge.\n\n### 3) Training in-process while serving inference is risky in Rust if you are not careful with contention\n\nConceptually fine, but you need to be explicit on concurrency model:\n\n* immutable snapshot for inference\n* train on a clone\n* atomic pointer swap on successful checkpoint/validation\n* no partial state mutation\n\nIf you don’t do that, one bad training step or NaN can poison live inference.\n\nI’d add a hard rule:\n\n* **never swap in new weights unless loss is finite and validation sanity checks pass**\n\n  * no NaNs\n  * score variance non-zero\n  * top-k stability not absurd on a fixed canary batch\n\n### 4) The HashTrick path is a good cold-start fallback, but the mixed-path behavior needs a compatibility story\n\nYou support:\n\n* pre-embedded path\n* raw text path\n\ngood idea, but you should define what happens when candidate memories are mixed (some embedded, some text-only). If both paths feed the same model, distribution mismatch can get weird.\n\nI’d explicitly normalize with:\n\n* path indicator feature (`is_embedded`)\n* per-path layer norm or feature normalization\n* maybe separate projections before merging into shared `d`\n\nOtherwise the model may quietly learn \"text path scores lower\" or vice versa.\n\n### 5) The parameter cache claim is a tiny bit optimistic (not a huge issue)\n\nYou say \"fits in L2 cache\" for ~4MB embeddings. Depending on the CPU, L2 is often smaller per core. This is not a design problem, just a performance expectation thing.\n\nRealistically:\n\n* still fast enough\n* but memory access and JSON serialization will dominate exactly like you said\n\nI’d just soften the cache claim in docs so nobody treats it as guaranteed.\n\n---\n\n## the biggest strategic strength here\n\nYou are not trying to prove \"ML is better.\"\n\nYou are building a system that can prove, session by session, whether **this ML component** is better than your baseline for **this user**.\n\nThat is the right philosophy. It is falsifiable. It keeps you honest. It gives you a kill switch. It makes the product trustworthy.\n\nThat’s the difference between \"AI feature\" and \"engineering.\"\n\n---\n\n## what I would add before implementation (small but high leverage)\n\n### A) Canary evaluation set\n\nKeep a fixed internal mini-benchmark (say 25 historical sessions with accepted labels) and run it after every retrain.\n\nStore:\n\n* ndcg delta vs previous model\n* score variance\n* top-k churn\n\nThis catches \"training completed successfully\" while actually getting worse.\n\n### B) Per-project success rate slices\n\nGlobal EMA can hide local failure.\n\nExample:\n\n* predictor is great on `signetai`\n* terrible on `ooIDE`\n* overall looks \"fine\"\n\nTrack a small set of segmented EMAs:\n\n* global\n* by project (top few only)\n* by recency bucket\n\nNot necessarily for alpha control yet, just observability.\n\n### C) Hard cap on predictor influence during early active phase\n\nEven after cold-start exit, I’d ramp influence:\n\n* predictor max influence cap starts low (say 20%)\n* expands as comparisons accumulate\n\nYou already have earned alpha. This is just an extra seatbelt for the first dozen active sessions.\n\n### D) Explicit anti-feedback-loop sampling\n\nBecause the predictor influences what gets injected, it also influences what gets judged, which influences training. That can collapse exploration.\n\nYou partially solve this with parallel scoring and recording. Nice. I’d add:\n\n* occasional exploration sample (very low rate)\n* e.g. reserve 1 slot sometimes for a high-uncertainty memory\n\notherwise the model can become overconfident and self-reinforcing.\n\n---\n\n## implementation reality check (the fun part)\n\nYour plan is ambitious but coherent. The main risk is not the ML math - it’s the **integration surface area**:\n\n* daemon hooks\n* scorer prompt changes\n* sidecar process management\n* analytics plumbing\n* dashboard UX\n* migrations\n* audit trails\n\nIn other words, the difficult thing is the boring thing. Which is exactly why your doc is good - you already scoped the boring thing.\n\nIf I were sequencing this in practice, I’d be ruthless about gating:\n\n1. ship Phase 0 only\n2. ship observability skeleton (even before model)\n3. ship predictor sidecar with fake/random scores for plumbing tests\n4. then ship real model training\n\nThat way you debug the pipes before debugging the brain.\n\n---\n\n## final verdict\n\nthis is one of the better memory-system design docs I’ve seen because it treats prediction like an accountable subsystem, not magic dust.\n\nYou’ve got the right instincts:\n\n* measure everything\n* trust the baseline until the new thing earns it\n* keep an audit trail\n* assume judges are noisy\n* plan for drift\n* fail open\n\nIt still needs tightening in a few places (judge calibration, signal weighting, concurrency safety, mixed-path normalization), but the core is excellent.\n\nHonestly, this reads like something that could become the defining feature if execution is clean. It has that \"this could actually compound over months of use\" energy, which is the rare good kind of weird in AI systems."},"uuid":"59cfe820-2b71-40bd-8320-4fcbde0d82ec","timestamp":"2026-02-25T16:05:33.802Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"59cfe820-2b71-40bd-8320-4fcbde0d82ec","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"03c7bb59-f8b8-4b81-8a6b-a00de29fbe4f","version":"2.1.56","gitBranch":"main","slug":"immutable-imagining-panda","message":{"model":"claude-opus-4-6","id":"msg_01N3m7PJTe7jw35tSt7ECUbH","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai is sharing feedback he received on the predictive memory scorer design doc. This is substantive, high-quality feedback with specific actionable items. Let me parse what needs to happen:\n\n1. He's sharing the feedback - I should acknowledge it and discuss\n2. The feedback has concrete suggestions to incorporate into the doc\n3. I need to figure out if he wants me to update the doc or just discuss\n\nLet me read through the feedback carefully and respond thoughtfully. He's in plan mode, so I should be thinking about what changes to make to the doc based on this feedback.\n\nThe feedback identifies:\n- Strengths (ranking focus, earned influence, Phase 0 prerequisite, observability, cold start/drift)\n\n\n- Several areas needing refinement: label construction risks that need human calibration checks, treating agent preference signals as auxiliary with capped weights, making training concurrency more explicit with atomic swaps and validation gates, normalizing the mixed embedding path with per-path layer norm, and softening the L2 cache claims\n- Four concrete additions: a canary evaluation set, p
  [truncated]


id: ea6ecc15-447d-40c1-a84e-e143301209eb
session_key: 97870516-db2f-455c-9c98-0a2333cf7e3c
harness: claude-code
project: /home/nicholai/signet/signetai/references/microgpt
status: completed
result: ok
created_at: 2026-02-25T16:26:42.872Z
completed_at: 2026-02-25T16:27:30.293Z
transcript:
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  {"parentUuid":"f2b69f01-6885-4bec-a9dd-5530514a504a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai/references/microgpt","sessionId":"97870516-db2f-455c-9c98-0a2333cf7e3c","version":"2.1.56","gitBranch":"main","type":"user","message":{"role":"user","content":"what if we trained a model based on ~/.agents/memories.db with @src/main.rs"},"uuid":"bf0829af-27b9-4194-ba0a-245cef868f81","timestamp":"2026-02-25T15:36:25.479Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"bf0829af-27b9-4194-ba0a-245cef868f81","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai/references/microgpt","sessionId":"97870516-db2f-455c-9c98-0a2333cf7e3c","version":"2.1.56","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01AF9oGDd3bUYUinZG9vU8PS","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai's asking about training a model using the microgpt implementation (the Rust GPT from scratch) on his Signet memory database. Let me think about this.\n\nThe microgpt.rs is a character-level GPT trained on line-delimited text files. The memories.db is a SQLite database with his agent memories.\n\nSo the idea would be: extract text from memories.db → feed it to microgpt as training data → see what kind of \"hallucinated memories\" it generates.\n\nThis is a fun idea. Let me think about what's practical here.\n\nThe model is tiny - character-level, 48 embed dim, 2 layers, 4 heads. \n\nSince the model expects line-delimited text, I'd need to extract the memories from the database and format them as lines. First I should peek at what's actually stored in memories.db and how much data we're working with to figure out if this would generate anything meaningful.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":32557,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":32557},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV2xCxfsJUwuLFB5Wpu7","type":"assistant","uuid":"cfaa3418-7e9b-46ce-88ef-64a248b04bd0","timestamp":"2026-02-25T15:36:36.867Z"}
  {"parentUuid":"cfaa3418-7e9b-46ce-88ef-64a248b04bd0","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai/references/microgpt","sessionId":"97870516-db2f-455c-9c98-0a2333cf7e3c","version":"2.1.56","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01AF9oGDd3bUYUinZG9vU8PS","type":"message","role":"assistant","content":[{"type":"text","text":"now that's a fun thought. train a tiny character-level GPT on your own memories and see what it hallucinates back at you. like a funhouse mirror for your brain.\n\nlet me check what we're working with in the memories db - need to know the shape and volume of the data."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":32557,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":32557},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV2xCxfsJUwuLFB5Wpu7","type":"assistant","uuid":"e99474e4-05e5-4e99-a150-4e8f140e8e0f","timestamp":"2026-02-25T15:36:37.627Z"}
  {"parentUuid":"e99474e4-05e5-4e99-a150-4e8f140e8e0f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai/references/microgpt","sessionId":"97870516-db2f-455c-9c98-0a2333cf7e3c","version":"2.1.56","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01AF9oGDd3bUYUinZG9vU8PS","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SULBVAZ2ND658cUvk8b3fs","name":"Bash","input":{"command":"sqlite3 ~/.agents/memory/memories.db \".tables\" 2>/dev/null && sqlite3 ~/.agents/memory/memories.db \"SELECT COUNT(*) FROM memories;\" 2>/dev/null && sqlite3 ~/.agents/memory/memories.db \".schema memories\" 2>/dev/null","description":"Check memories.db schema and row count"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":32557,"cache_read_input_tokens":11103,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":32557},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV2xCxfsJUwuLFB5Wpu7","type":"assistant","uuid":"2dd3627f-fbc8-46e4-b597-4a43433e13a8","timestamp":"2026-02-25T15:36:39.252Z"}
  {"parentUuid":"2dd3627f-fbc8-46e4-b597-4a43433e13a8","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai/references/microgpt","sessionId":"97870516-db2f-455c-9c98-0a2333cf7e3c","version":"2.1.56","gitBranch":"main","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SULBVAZ2ND658cUvk8b3fs","type":"tool_result","content":"conflict_log                    memory_history                \nconnectors                      memory_jobs                   \nconversations                   relations                     \ndocument_memories               scheduled_tasks               \ndocuments                       schema_migrations             \nembeddings                      schema_migrations_audit       \nentities                        session_scores                \ningestion_jobs                  summary_jobs                  \nmemories                        task_runs                     \nmemories_fts                    umap_cache                    \nmemories_fts_config             vec_embeddings                \nmemories_fts_data               vec_embeddings_chunks         \nmemories_fts_docsize            vec_embeddings_info           \nmemories_fts_idx                vec_embeddings_rowids         \nmemory_entity_mentions          vec_embeddings_vector_chunks00\n5348\nCREATE TABLE IF NOT EXISTS \"memories\" (\n  id              TEXT PRIMARY KEY,\n  type            TEXT NOT NULL DEFAULT 'fact',\n  category        TEXT,\n  content         TEXT NOT NULL,\n  confidence      REAL DEFAULT 1.0,\n  source_id       TEXT,\n  source_type     TEXT DEFAULT 'manual',\n  tags            TEXT,\n  created_at      TEXT NOT NULL DEFAULT (datetime('now')),\n  updated_at      TEXT NOT NULL DEFAULT (datetime('now')),\n  updated_by      TEXT NOT NULL DEFAULT 'legacy',\n  vector_clock    TEXT NOT NULL DEFAULT '{}',\n  version         INTEGER DEFAULT 1,\n  manual_override INTEGER DEFAULT 0,\n  who             TEXT,\n  why             TEXT,\n  project         TEXT,\n  session_id      TEXT,\n  importance      REAL DEFAULT 0.5,\n  last_accessed   TEXT,\n  access_count    INTEGER DEFAULT 0,\n  pinned          INTEGER DEFAULT 0\n, content_hash TEXT, normalized_content TEXT, is_deleted INTEGER DEFAULT 0, deleted_at TEXT, extraction_status TEXT DEFAULT 'none', embedding_model TEXT, extraction_model TEXT, update_count INTEGER DEFAULT 0, idempotency_key TEXT, runtime_path TEXT, source_path TEXT, source_section TEXT);\nCREATE INDEX idx_memories_type ON memories(type);\nCREATE INDEX idx_memories_category ON memories(category);\nCREATE INDEX idx_memories_source ON memories(source_type, source_id);\nCREATE INDEX idx_memories_created ON memories(created_at DESC);\nCREATE TRIGGER memories_ai AFTER INSERT ON memories BEGIN\n    INSERT INTO memories_fts(rowid, content) VALUES (new.rowid, new.content);\nEND;\nCREATE TRIGGER memories_ad AFTER DELETE ON memories BEGIN\n    INSERT INTO memories_fts(memories_fts, rowid, content)\n        VALUES('delete', old.rowid, old.content);\nEND;\nCREATE TRIGGER memories_au AFTER UPDATE ON memories BEGIN\n    INSERT INTO memories_fts(memories_fts, rowid, content)\n        VALUES('delete', old.rowid, old.content);\n    INSERT INTO memories_fts(rowid, content) VALUES (new.rowid, new.content);\nEND;\nCREATE INDEX idx_memories_pinned\n\t\t\tON memories(pinned);\nCREATE INDEX idx_memories_importance\n\t\t\tON memories(importance DESC);\nCREATE INDEX idx_memories_is_deleted\n\t\t\tON memories(is_deleted);\nCREATE INDEX idx_memories_extraction_status\n\t\t\tON memories(extraction_status);\nCREATE UNIQUE INDEX idx_memories_content_hash_unique\n\t\t\tON memories(content_hash)\n\t\t\tWHERE content_hash IS NOT NULL AND is_deleted = 0\n\t;\nCREATE INDEX idx_memories_deleted_at\n\t\t\tON memories(deleted_at)\n\t\t\tWHERE is_deleted = 1;\nCREATE UNIQUE INDEX idx_memories_idempotency_key\n\t\t ON memories(idempotency_key)\n\t\t WHERE idempotency_key IS NOT NULL;","is_error":false}]},"uuid":"bf8e4f96-9505-489a-a8f2-18856c75010b","timestamp":"2026-02-25T15:36:40.169Z","toolUseResult":{"stdout":"conflict_log                    memory_history                \nconnectors                      memory_jobs                   \nconversations                   relations                     \ndocument_memories               scheduled_tasks               \ndocuments                       schema_migrations             \nembeddings                      schema_migrations_audit       \nentities                        session_scores                \ningestion_jobs                  summary_jobs                  \nmemories                        task_runs                     \nmemories_fts                    umap_cache                    \nmemories_fts_config             vec_embeddings                \nmemories_fts_data               vec_embeddings_chunks         \nmemories_fts_docsize            vec_embeddings_info           \nmemories_fts_idx                vec_embeddings_rowids         \nmemory_entity_mentions          vec_embeddings_vector_chunks00\n5348\nCREATE TABLE IF NOT EXISTS \"memories\" (\n  id              TEXT PRIMARY KEY,\n  type            TEXT NOT NULL DEFAULT 'fact',\n  category        TEXT,\n  content         TEXT NOT NULL,\n  confidence      REAL DEFAULT 1.0,\n  source_id       TEXT,\n  sou
  [truncated]


id: beb21042-af6d-4a08-981a-5cdd85bc0f80
session_key: f125b64c-730c-4e7b-bda0-f0975cd60c15
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T17:13:15.168Z
completed_at: 2026-02-25T17:14:25.742Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"53ec899a-a7bf-4f35-9865-f761ce0afa50","toolUseID":"53ec899a-a7bf-4f35-9865-f761ce0afa50","timestamp":"2026-02-25T16:16:23.929Z","uuid":"a87d491c-1457-4822-a7e0-b07779b496da"}
  {"type":"file-history-snapshot","messageId":"750857c0-d8f6-4d69-ad0c-090255d2d61b","snapshot":{"messageId":"750857c0-d8f6-4d69-ad0c-090255d2d61b","trackedFileBackups":{},"timestamp":"2026-02-25T16:16:59.608Z"},"isSnapshotUpdate":false}
  {"parentUuid":"a87d491c-1457-4822-a7e0-b07779b496da","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","type":"user","message":{"role":"user","content":"please evaluate @docs/wip/predictive-memory-scorer.md against @references/x-algorithm/ "},"uuid":"750857c0-d8f6-4d69-ad0c-090255d2d61b","timestamp":"2026-02-25T16:16:59.476Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"750857c0-d8f6-4d69-ad0c-090255d2d61b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","message":{"model":"claude-opus-4-6","id":"msg_01RnToB2wDpN3gAeZtAvDNqR","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants me to evaluate the predictive memory scorer design doc against Twitter/X's recommendation algorithm reference code. Let me explore both to understand what's in the x-algorithm reference and then compare approaches.","signature":"Eo4DCkYICxgCKkAp7W3F21/N/dsWDDXyiwjH+efQcDeiTmCv+6AP6jLplX6k2vXJryK2fLSjwk8W0lUogJiosYS6k5NduqFe5M08EgyHnIJPjx89ZevpLggaDG3SmfrUKIwBwSSceyIwzvAbYmr//7cot7RCDeJpskyRBTMv2RhDjn6fzY2ymphDtvXy28qf+jv6PPPg4+gvKvUBSatgcOaGNnYVS6gZGjPlwcqRmeRwOJD2SMoW5RoAWwq98CcC96vkyb0vYnQ65u9rY9Zlg9cPwEvqdKre5eN1GLB/lTFKQgNJlQNoAleu66Gud19ifJyRWSPP4Oq4O2uRy9FrQaAoIJVKhGqjl3+8JlTJcZj3AMEBh40EHDYTZCltCPJ7IEfkgeZ3Hc1lDKyfvTpyMF0E66kqGjAMI3F2mL2CZe3Y0SOovz3FLon2FR5uTr5jIcibK/KYu8miOGOKfkG089RsCD5Cvsq05MmFNKzmWbZ+v9C+bQkQnViXjVr9jCTADsr7j40qFCLwbC4CbitBkb8YAQ=="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46836,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46836},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV63deU1kjN4yE8GbRE7","type":"assistant","uuid":"6990aa8c-893a-406b-94bd-7200a7d124fe","timestamp":"2026-02-25T16:17:03.569Z"}
  {"parentUuid":"6990aa8c-893a-406b-94bd-7200a7d124fe","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","message":{"model":"claude-opus-4-6","id":"msg_01RnToB2wDpN3gAeZtAvDNqR","type":"message","role":"assistant","content":[{"type":"text","text":"let me dig into both the design doc and the x-algorithm reference to give you a proper comparison."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46836,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46836},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV63deU1kjN4yE8GbRE7","type":"assistant","uuid":"8606d42f-84de-41d8-b221-fdaa02f3b9c0","timestamp":"2026-02-25T16:17:04.186Z"}
  {"parentUuid":"8606d42f-84de-41d8-b221-fdaa02f3b9c0","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","message":{"model":"claude-opus-4-6","id":"msg_01RnToB2wDpN3gAeZtAvDNqR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WynPmiNJ2iGMM98aSU5FGd","name":"Task","input":{"subagent_type":"Explore","description":"explore x-algorithm reference code","prompt":"Thoroughly explore /home/nicholai/signet/signetai/references/x-algorithm/ to understand its architecture, key components, and design patterns. I need to understand:\n\n1. The overall recommendation/ranking architecture\n2. How scoring/ranking works (especially any cross-attention, feature gating, or learned ranking)\n3. The candidate pipeline architecture\n4. How training signals are derived and used\n5. Any cold start / exploration / drift handling patterns\n6. Feature engineering patterns (temporal, behavioral signals)\n7. The home-mixer and thunder components specifically\n\nLook at READMEs, key source files, model definitions, and training code. Be very thorough - read actual source files, not just directory listings.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46836,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46836},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV63deU1kjN4yE8GbRE7","type":"assistant","uuid":"78daf0d3-78b0-4a2a-874a-594700ce394b","timestamp":"2026-02-25T16:17:09.689Z"}
  {"parentUuid":"78daf0d3-78b0-4a2a-874a-594700ce394b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Thoroughly explore /home/nicholai/signet/signetai/references/x-algorithm/ to understand its architecture, key components, and design patterns. I need to understand:\n\n1. The overall recommendation/ranking architecture\n2. How scoring/ranking works (especially any cross-attention, feature gating, or learned ranking)\n3. The candidate pipeline architecture\n4. How training signals are derived and used\n5. Any cold start / exploration / drift handling patterns\n6. Feature engineering patterns (temporal, behavioral signals)\n7. The home-mixer and thunder components specifically\n\nLook at READMEs, key source files, model definitions, and training code. Be very thorough - read actual source files, not just directory listings."}]},"uuid":"aa050ca7-742e-4d97-b8f9-83b88101fd34","timestamp":"2026-02-25T16:17:09.692Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Thoroughly explore /home/nicholai/signet/signetai/references/x-algorithm/ to understand its architecture, key components, and design patterns. I need to understand:\n\n1. The overall recommendation/ranking architecture\n2. How scoring/ranking works (especially any cross-attention, feature gating, or learned ranking)\n3. The candidate pipeline architecture\n4. How training signals are derived and used\n5. Any cold start / exploration / drift handling patterns\n6. Feature engineering patterns (temporal, behavioral signals)\n7. The home-mixer and thunder components specifically\n\nLook at READMEs, key source files, model definitions, and training code. Be very thorough - read actual source files, not just directory listings.","agentId":"aa9b2968b4758c24c"},"toolUseID":"agent_msg_01RnToB2wDpN3gAeZtAvDNqR","parentToolUseID":"toolu_01WynPmiNJ2iGMM98aSU5FGd","uuid":"af6b8c52-696b-42b1-b7da-6a3738d9653c","timestamp":"2026-02-25T16:17:09.692Z"}
  {"parentUuid":"af6b8c52-696b-42b1-b7da-6a3738d9653c","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","message":{"model":"claude-opus-4-6","id":"msg_01RnToB2wDpN3gAeZtAvDNqR","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01Vff3Wc1tpQENDJYmdJcY4K","name":"Task","input":{"subagent_type":"Explore","description":"explore phoenix model in x-algorithm","prompt":"Explore /home/nicholai/signet/signetai/references/x-algorithm/phoenix/ thoroughly. This appears to be a ranking/retrieval model. I need to understand:\n\n1. Model architecture (layers, attention mechanisms, embedding strategies)\n2. Feature engineering (what signals are used, how they're encoded)\n3. Training approach (loss functions, data pipeline)\n4. Inference path\n5. Parameter counts and efficiency considerations\n6. How it handles cold start or sparse data\n\nRead the actual source files - model definitions, training scripts, config files. Be thorough.","model":"sonnet"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46836,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46836},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV63deU1kjN4yE8GbRE7","type":"assistant","uuid":"5070aca0-e93c-4ba2-9285-3e5c1439a1dc","timestamp":"2026-02-25T16:17:13.134Z"}
  {"parentUuid":"5070aca0-e93c-4ba2-9285-3e5c1439a1dc","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore /home/nicholai/signet/signetai/references/x-algorithm/phoenix/ thoroughly. This appears to be a ranking/retrieval model. I need to understand:\n\n1. Model architecture (layers, attention mechanisms, embedding strategies)\n2. Feature engineering (what signals are used, how they're encoded)\n3. Training approach (loss functions, data pipeline)\n4. Inference path\n5. Parameter counts and efficiency considerations\n6. How it handles cold start or sparse data\n\nRead the actual source files - model definitions, training scripts, config files. Be thorough."}]},"uuid":"f8719dda-c5a1-43e1-85cc-2f0b4f808011","timestamp":"2026-02-25T16:17:13.136Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore /home/nicholai/signet/signetai/references/x-algorithm/phoenix/ thoroughly. This appears to be a ranking/retrieval model. I need to understand:\n\n1. Model architecture (layers, attention mechanisms, embedding strategies)\n2. Feature engineering (what signals are used, how they're encoded)\n3. Training approach (loss functions, data pipeline)\n4. Inference path\n5. Parameter counts and efficiency considerations\n6. How it handles cold start or sparse data\n\nRead the actual source files - model definitions, training scripts, config files. Be thorough.","agentId":"a1dd346db61e8add9"},"toolUseID":"agent_msg_01RnToB2wDpN3gAeZtAvDNqR","parentToolUseID":"toolu_01Vff3Wc1tpQENDJYmdJcY4K","uuid":"040d32ce-2c24-4988-a451-00f76a293bac","timestamp":"2026-02-25T16:17:13.136Z"}
  {"parentUuid":"040d32ce-2c24-4988-a451-00f76a293bac","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f125b64c-730c-4e7b-bda0-f0975cd60c15","version":"2.1.56","gitBranch":"main","slug":"soft-wishing-whistle","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-25T16:17:13.429Z","message":{"model":"claude-sonnet-4-6","id":"msg_013Tsh4NxuPjaabkwoKMG9Wv","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EHWJwzrgaHN6sQuWNCf9oZ","name":"Bash","input":{"command":"ls /home/nicholai/signet/signetai/references/x-algorithm/","description":"List top-level directory"},"caller":{"type":"direct"}}
  [truncated]


id: 815eab92-f360-40a2-88ef-34a77a340329
session_key: 3598fe7a-19e3-42d7-8f64-b68a34106c31
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-25T20:55:54.080Z
completed_at: 2026-02-25T20:56:35.270Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"b8ca8950-9d12-4ce7-833f-3a614d272839","toolUseID":"b8ca8950-9d12-4ce7-833f-3a614d272839","timestamp":"2026-02-25T16:19:45.331Z","uuid":"40df70ef-5f08-43fb-b4bc-13f9d5e57e85"}
  {"type":"file-history-snapshot","messageId":"d93987ce-d9fb-4b41-955c-4e86053bdbd5","snapshot":{"messageId":"d93987ce-d9fb-4b41-955c-4e86053bdbd5","trackedFileBackups":{},"timestamp":"2026-02-25T16:20:06.397Z"},"isSnapshotUpdate":false}
  {"parentUuid":"40df70ef-5f08-43fb-b4bc-13f9d5e57e85","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","type":"user","message":{"role":"user","content":"how do we collect anonymous statistics about token usage, errors and performance? "},"uuid":"d93987ce-d9fb-4b41-955c-4e86053bdbd5","timestamp":"2026-02-25T16:20:06.267Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"d93987ce-d9fb-4b41-955c-4e86053bdbd5","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","message":{"model":"claude-opus-4-6","id":"msg_01Lvf1z7HGUsuQjWBugw6oH5","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants to understand how anonymous statistics about token usage, errors, and performance are collected in the signetai codebase. Let me explore the analytics and telemetry systems.","signature":"EuUCCkYICxgCKkCRy3d6h2p9YYJRLHWqieMnRd7+MJX11nRRQg16DVBgO9iL2lp3KUjtJ5vSfROV6gvK99FR+AAhPY5j1YYmU780Egya5ocUQ3XVhFS8wLUaDLQm+8b4WoNY/Z1SiCIw0+O5M61JIcSDMbZY0befYkkJUDdebOO3uQf66xFMrIneSdqBLREYOskx/t2RlSiMKswBUBLV/ESbH/WOGfAAk6RjONcRK4eJ9CeyZRKxmR1gpskcqeRr5HNti0YhhfJz9GlJQQSikvUJXvdz2KJntTbFSlfXK8FBG4wu3rY2+fyD4cExsF1VP2H0nQ7LVQbWLJwz+Xlidj3XEYibdGGFO0THmGClnzqKHCvhkB2fiH/p99YXhUpaAjWo6D3HR90nH1oVwdI03jQoFRL82hHwuIB539l6t4/Ft48oN82P+M6p61Q9S8vSSS99lc1op4PuPwFSUihILuCjlIVI2GRFGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":20148,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20148},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV6HQGwQQWJUQnenQUvT","type":"assistant","uuid":"a723ecfd-9eaa-4536-9a94-50381fb72a7b","timestamp":"2026-02-25T16:20:09.844Z"}
  {"parentUuid":"a723ecfd-9eaa-4536-9a94-50381fb72a7b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","message":{"model":"claude-opus-4-6","id":"msg_01Lvf1z7HGUsuQjWBugw6oH5","type":"message","role":"assistant","content":[{"type":"text","text":"let me dig into the analytics system to see what's already in place."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":20148,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20148},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV6HQGwQQWJUQnenQUvT","type":"assistant","uuid":"6f6e169a-f8c7-49ca-9b97-4e0eef67673f","timestamp":"2026-02-25T16:20:10.623Z"}
  {"parentUuid":"6f6e169a-f8c7-49ca-9b97-4e0eef67673f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","message":{"model":"claude-opus-4-6","id":"msg_01Lvf1z7HGUsuQjWBugw6oH5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01FSbJ4uEu82NV5JDu9Q7Uij","name":"Task","input":{"description":"Explore analytics/telemetry system","subagent_type":"Explore","prompt":"Explore the signetai codebase at /home/nicholai/signet/signetai to understand how anonymous statistics about token usage, errors, and performance are collected. Look at:\n\n1. packages/daemon/src/analytics.ts - the analytics accumulator\n2. Any telemetry or stats collection code\n3. Token usage tracking (LLM API calls, pipeline extraction)\n4. Error tracking/reporting\n5. Performance metrics collection\n6. Any API endpoints related to analytics (/api/analytics/*)\n7. How data is stored and whether it's anonymous\n8. Any opt-in/opt-out mechanisms\n\nBe thorough - check the pipeline worker, provider.ts, and any other files that might track usage metrics. Also check if there's any external reporting (e.g., sending stats to a remote server)."},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":20148,"cache_read_input_tokens":14502,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":20148},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYV6HQGwQQWJUQnenQUvT","type":"assistant","uuid":"9dd214f6-b717-47a0-a677-843c25c59f6e","timestamp":"2026-02-25T16:20:15.373Z"}
  {"parentUuid":"9dd214f6-b717-47a0-a677-843c25c59f6e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the signetai codebase at /home/nicholai/signet/signetai to understand how anonymous statistics about token usage, errors, and performance are collected. Look at:\n\n1. packages/daemon/src/analytics.ts - the analytics accumulator\n2. Any telemetry or stats collection code\n3. Token usage tracking (LLM API calls, pipeline extraction)\n4. Error tracking/reporting\n5. Performance metrics collection\n6. Any API endpoints related to analytics (/api/analytics/*)\n7. How data is stored and whether it's anonymous\n8. Any opt-in/opt-out mechanisms\n\nBe thorough - check the pipeline worker, provider.ts, and any other files that might track usage metrics. Also check if there's any external reporting (e.g., sending stats to a remote server)."}]},"uuid":"6388d05e-143c-4687-9d09-a352f3b3b25d","timestamp":"2026-02-25T16:20:15.376Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the signetai codebase at /home/nicholai/signet/signetai to understand how anonymous statistics about token usage, errors, and performance are collected. Look at:\n\n1. packages/daemon/src/analytics.ts - the analytics accumulator\n2. Any telemetry or stats collection code\n3. Token usage tracking (LLM API calls, pipeline extraction)\n4. Error tracking/reporting\n5. Performance metrics collection\n6. Any API endpoints related to analytics (/api/analytics/*)\n7. How data is stored and whether it's anonymous\n8. Any opt-in/opt-out mechanisms\n\nBe thorough - check the pipeline worker, provider.ts, and any other files that might track usage metrics. Also check if there's any external reporting (e.g., sending stats to a remote server).","agentId":"abcadc5800ddeb703"},"toolUseID":"agent_msg_01Lvf1z7HGUsuQjWBugw6oH5","parentToolUseID":"toolu_01FSbJ4uEu82NV5JDu9Q7Uij","uuid":"5ca82006-c690-4270-9985-e96d45bab56e","timestamp":"2026-02-25T16:20:15.376Z"}
  {"parentUuid":"5ca82006-c690-4270-9985-e96d45bab56e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-25T16:20:19.592Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01Dr4W88hdew4JSmrACeLCCY","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01RFSo2NBfguYhRFHqar3jVP","name":"Read","input":{"file_path":"/home/nicholai/signet/signetai/packages/daemon/src/analytics.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":43822,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":43822},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYV6J3a2VR1KGNMvjRRnn","uuid":"39bf8d6f-c1f4-44c0-93e0-e587aab849ac"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the signetai codebase at /home/nicholai/signet/signetai to understand how anonymous statistics about token usage, errors, and performance are collected. Look at:\n\n1. packages/daemon/src/analytics.ts - the analytics accumulator\n2. Any telemetry or stats collection code\n3. Token usage tracking (LLM API calls, pipeline extraction)\n4. Error tracking/reporting\n5. Performance metrics collection\n6. Any API endpoints related to analytics (/api/analytics/*)\n7. How data is stored and whether it's anonymous\n8. Any opt-in/opt-out mechanisms\n\nBe thorough - check the pipeline worker, provider.ts, and any other files that might track usage metrics. Also check if there's any external reporting (e.g., sending stats to a remote server).","agentId":"abcadc5800ddeb703"},"toolUseID":"agent_msg_01Lvf1z7HGUsuQjWBugw6oH5","parentToolUseID":"toolu_01FSbJ4uEu82NV5JDu9Q7Uij","uuid":"39c7b46d-5b12-4465-9c89-418b5313f17f","timestamp":"2026-02-25T16:20:19.592Z"}
  {"parentUuid":"39c7b46d-5b12-4465-9c89-418b5313f17f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"3598fe7a-19e3-42d7-8f64-b68a34106c31","version":"2.1.56","gitBranch":"main","slug":"humble-splashing-gem","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01RFSo2NBfguYhRFHqar3jVP","type":"tool_result","content":"     1→/**\n     2→ * In-memory analytics accumulator for the Signet daemon.\n     3→ *\n     4→ * All counters are ephemeral per daemon lifetime. The existing\n     5→ * structured logs and memory_history table provide durable backing\n     6→ * for anything that needs to survive restarts.\n     7→ */\n     8→\n     9→// ---------------------------------------------------------------------------\n    10→// Error codes — stage-keyed taxonomy\n    11→// ---------------------------------------------------------------------------\n    12→\n    13→export const ERROR_CODES = {\n    14→\tEXTRACTION_TIMEOUT: \"extraction\",\n    15→\tEXTRACTION_PARSE_FAIL: \"extraction\",\n    16→\tDECISION_TIMEOUT: \"decision\",\n    17→\tDECISION_INVALID: \"decision\",\n    18→\tEMBEDDING_PROVIDER_DOWN: \"embedding\",\n    19→\tEMBEDDING_TIMEOUT: \"embedding\",\n    20→\tMUTATION_CONFLICT: \"mutation\",\n    21→\tMUTATION_SCOPE_DENIED: \"mutation\",\n    22→\tCONNECTOR_SYNC_FAIL: \"connector\",\n    23→\tCONNECTOR_AUTH_FAIL: \"connector\",\n    24→} as const;\n    25→\n    26→export type ErrorCode = keyof typeof ERROR_CODES;\n    27→export type ErrorStage = (typeof ERROR_CODES)[ErrorCode];\n    28→\n    29→// ---------------------------------------------------------------------------\n    30→// Usage counter types\n    31→// ---------------------------------------------------------------------------\n    32→\n    33→export interface EndpointStats {\n    34→\treadonly count: number;\n    35→\treadonly errors: number;\n    36→\treadonly totalLatencyMs: number;\n    37→}\n    38→\n    39→export interface ActorStats {\n    40→\treadonly requests: number;\n    41→\treadonly remembers: number;\n    42→\treadonly recalls: number;\
  [truncated]


id: 26ac7a5f-8cb3-402d-bd10-23c37a04e096
session_key: 2a294590-6d4c-4533-84d0-93151b090f63
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:02:06.698Z
completed_at: 2026-02-26T07:02:41.350Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"cfbea675-0038-4c49-8c7b-61d2470d281f","toolUseID":"cfbea675-0038-4c49-8c7b-61d2470d281f","timestamp":"2026-02-26T06:52:12.245Z","uuid":"3c982e12-69df-4690-a0c9-e070237f7364"}
  {"parentUuid":"3c982e12-69df-4690-a0c9-e070237f7364","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01AYfMCZkTNCXsiPEzNEZbQA","url":"https://claude.ai/code/session_01AYfMCZkTNCXsiPEzNEZbQA","isMeta":false,"timestamp":"2026-02-26T06:52:13.792Z","uuid":"280bcd65-46ab-4b04-bc0e-0ea0ad8a6f41"}
  {"type":"file-history-snapshot","messageId":"0dbbbf08-8f9c-40b4-ba9b-c51551337d98","snapshot":{"messageId":"0dbbbf08-8f9c-40b4-ba9b-c51551337d98","trackedFileBackups":{},"timestamp":"2026-02-26T06:52:44.189Z"},"isSnapshotUpdate":false}
  {"parentUuid":"280bcd65-46ab-4b04-bc0e-0ea0ad8a6f41","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":"this project is called OpenmarketUI, please make sure that this is reflected accross the codebase, deploy a subagent to ensure this. "},"uuid":"0dbbbf08-8f9c-40b4-ba9b-c51551337d98","timestamp":"2026-02-26T06:52:44.074Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"0dbbbf08-8f9c-40b4-ba9b-c51551337d98","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","message":{"model":"claude-sonnet-4-6","id":"msg_018Ahdsbc2Dhm4m9wjYjQq3c","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user wants to make sure the project is called \"OpenmarketUI\" across the codebase. Let me first explore what's in the current working directory to understand the scope, then deploy an Explore agent to check for naming inconsistencies.\n\nLooking at the git status, I can see there's a `watchtower/` directory and a `web/` directory. The CLAUDE.md mentions the project is about prediction markets with terms like \"pm-server\", \"watchtower\", \"compost/kalshi/\", etc.\n\nLet me first explore the codebase to understand what naming conventions are currently being used, then check if \"OpenmarketUI\" is reflected correctly.\n\n\nSince this is about checking naming consistency rather than implementing UI work, I'll deploy an Explore agent to scan the codebase for all references to the project name and identify any inconsistencies.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":21579,"cache_read_input_tokens":7343,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":21579},"output_tokens":0,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWEpv1AJdanVrCC58DeX","type":"assistant","uuid":"64feb8a0-35a4-46e9-b918-1469e088586f","timestamp":"2026-02-26T06:52:50.974Z"}
  {"parentUuid":"64feb8a0-35a4-46e9-b918-1469e088586f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","message":{"model":"claude-sonnet-4-6","id":"msg_018Ahdsbc2Dhm4m9wjYjQq3c","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01QNA1VkHPyZz2J2oBaQLJTa","name":"Task","input":{"description":"Audit project naming across codebase","subagent_type":"Explore","prompt":"Explore the codebase at /home/nicholai/openmarketui and audit all project naming. The project should be called \"OpenmarketUI\" consistently.\n\nFind and report:\n1. All package.json files and their `name` fields\n2. All Cargo.toml files and their `name`/`package` fields\n3. README files and their titles/descriptions\n4. Any HTML title tags, meta descriptions, or window titles\n5. Any config files (astro.config.mjs, wrangler.jsonc, etc.) with project names\n6. Any references to the old name if different from \"OpenmarketUI\"\n7. The web/ directory specifically - check index.astro, Layout.astro, README.md\n\nBe thorough. Report exact file paths and line numbers for anything that needs to be changed to say \"OpenmarketUI\"."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":21579,"cache_read_input_tokens":7343,"output_tokens":517,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":21579,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYWEpv1AJdanVrCC58DeX","type":"assistant","uuid":"ba1850dc-8e84-465f-989f-dba788f01379","timestamp":"2026-02-26T06:52:54.956Z"}
  {"parentUuid":"ba1850dc-8e84-465f-989f-dba788f01379","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Explore the codebase at /home/nicholai/openmarketui and audit all project naming. The project should be called \"OpenmarketUI\" consistently.\n\nFind and report:\n1. All package.json files and their `name` fields\n2. All Cargo.toml files and their `name`/`package` fields\n3. README files and their titles/descriptions\n4. Any HTML title tags, meta descriptions, or window titles\n5. Any config files (astro.config.mjs, wrangler.jsonc, etc.) with project names\n6. Any references to the old name if different from \"OpenmarketUI\"\n7. The web/ directory specifically - check index.astro, Layout.astro, README.md\n\nBe thorough. Report exact file paths and line numbers for anything that needs to be changed to say \"OpenmarketUI\"."}]},"uuid":"7c96ce42-27c0-48cb-9b84-f04b5fcd13cf","timestamp":"2026-02-26T06:52:54.958Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the codebase at /home/nicholai/openmarketui and audit all project naming. The project should be called \"OpenmarketUI\" consistently.\n\nFind and report:\n1. All package.json files and their `name` fields\n2. All Cargo.toml files and their `name`/`package` fields\n3. README files and their titles/descriptions\n4. Any HTML title tags, meta descriptions, or window titles\n5. Any config files (astro.config.mjs, wrangler.jsonc, etc.) with project names\n6. Any references to the old name if different from \"OpenmarketUI\"\n7. The web/ directory specifically - check index.astro, Layout.astro, README.md\n\nBe thorough. Report exact file paths and line numbers for anything that needs to be changed to say \"OpenmarketUI\".","agentId":"ae9f8749cf52e47e7"},"toolUseID":"agent_msg_018Ahdsbc2Dhm4m9wjYjQq3c","parentToolUseID":"toolu_01QNA1VkHPyZz2J2oBaQLJTa","uuid":"c2d9d91e-1d7f-4a82-84a3-cf86ffdac19e","timestamp":"2026-02-26T06:52:54.958Z"}
  {"parentUuid":"c2d9d91e-1d7f-4a82-84a3-cf86ffdac19e","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-26T06:52:57.833Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01N85A4v7r9VVAm6YncXePDs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_013Emf1qCZSquUxzAVs6ecVw","name":"Bash","input":{"command":"find /home/nicholai/openmarketui -type f -name \"package.json\" | head -20","description":"Find all package.json files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":39305,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":39305},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYWEqhLSUdUbFb7jQpJYn","uuid":"51fd187b-0613-41bd-b758-c3ad953eeb83"},"normalizedMessages":[],"type":"agent_progress","prompt":"Explore the codebase at /home/nicholai/openmarketui and audit all project naming. The project should be called \"OpenmarketUI\" consistently.\n\nFind and report:\n1. All package.json files and their `name` fields\n2. All Cargo.toml files and their `name`/`package` fields\n3. README files and their titles/descriptions\n4. Any HTML title tags, meta descriptions, or window titles\n5. Any config files (astro.config.mjs, wrangler.jsonc, etc.) with project names\n6. Any references to the old name if different from \"OpenmarketUI\"\n7. The web/ directory specifically - check index.astro, Layout.astro, README.md\n\nBe thorough. Report exact file paths and line numbers for anything that needs to be changed to say \"OpenmarketUI\".","agentId":"ae9f8749cf52e47e7"},"toolUseID":"agent_msg_018Ahdsbc2Dhm4m9wjYjQq3c","parentToolUseID":"toolu_01QNA1VkHPyZz2J2oBaQLJTa","uuid":"8cae15b7-96a7-4823-8bbf-dadb82ffb2e4","timestamp":"2026-02-26T06:52:57.833Z"}
  {"parentUuid":"8cae15b7-96a7-4823-8bbf-dadb82ffb2e4","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"2a294590-6d4c-4533-84d0-93151b090f63","version":"2.1.59","gitBranch":"main","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-26T06:52:58.046Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01N85A4v7r9VVAm6YncXePDs","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01WXBgpYAgThch5CMArUTBq5","name":"Bash","input":{"command":"find /home/nicholai/openmarketui -type f -name \"Cargo.toml\" | head -20","description":"Find all Cargo.toml files"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":39305,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":39305},"output_tokens":3,"service_tier":"standard","inference_ge
  [truncated]


id: a6c166ef-e10b-4f7b-b2b8-6eb06f2d8cb8
session_key: 76886eaf-e887-4ae7-b004-ff7b31c22309
harness: claude-code
project: /home/nicholai/openmarketui/web
status: completed
result: ok
created_at: 2026-02-26T07:06:18.651Z
completed_at: 2026-02-26T07:06:54.595Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"76886eaf-e887-4ae7-b004-ff7b31c22309","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"60330026-b1e9-4d50-974e-aaef67b6fbe5","toolUseID":"60330026-b1e9-4d50-974e-aaef67b6fbe5","timestamp":"2026-02-26T07:02:10.292Z","uuid":"92865674-2463-4446-8bd5-df8dec2ba47d"}
  {"parentUuid":"92865674-2463-4446-8bd5-df8dec2ba47d","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"76886eaf-e887-4ae7-b004-ff7b31c22309","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_015T8PTrvJjBaKdP3Gc2SG4R","url":"https://claude.ai/code/session_015T8PTrvJjBaKdP3Gc2SG4R","isMeta":false,"timestamp":"2026-02-26T07:02:11.279Z","uuid":"7f9d1f1a-5a16-4982-91f8-fe74bf74591f"}
  {"type":"file-history-snapshot","messageId":"4650cc91-40de-487f-beba-2a5297d8391a","snapshot":{"messageId":"4650cc91-40de-487f-beba-2a5297d8391a","trackedFileBackups":{},"timestamp":"2026-02-26T07:02:47.185Z"},"isSnapshotUpdate":false}
  {"parentUuid":"7f9d1f1a-5a16-4982-91f8-fe74bf74591f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"76886eaf-e887-4ae7-b004-ff7b31c22309","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":"<command-message>openmarketui-design</command-message>\n<command-name>/openmarketui-design</command-name>\n<command-args>please refine the site in @web/ to more closely match the notes made by me in this screenshot</command-args>"},"uuid":"4650cc91-40de-487f-beba-2a5297d8391a","timestamp":"2026-02-26T07:02:47.058Z"}
  {"parentUuid":"4650cc91-40de-487f-beba-2a5297d8391a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"76886eaf-e887-4ae7-b004-ff7b31c22309","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":[{"type":"image","source":{"type":"base64","media_type":"image/png","data":"[encoded data, 9726 characters]
  [truncated]


id: 3fb64682-5e80-4baf-a594-2cc21250e7a6
session_key: 9ae0f20b-04c2-4086-b3d0-9cda06ca82fc
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:08:45.956Z
completed_at: 2026-02-26T07:09:12.830Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"9ae0f20b-04c2-4086-b3d0-9cda06ca82fc","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"bd25cde0-9c3b-4fb4-9944-c4f4e261b8da","toolUseID":"bd25cde0-9c3b-4fb4-9944-c4f4e261b8da","timestamp":"2026-02-26T07:08:31.691Z","uuid":"2238f442-9c7e-46cb-a880-86e405fd2ae4"}
  {"parentUuid":"2238f442-9c7e-46cb-a880-86e405fd2ae4","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"9ae0f20b-04c2-4086-b3d0-9cda06ca82fc","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_017LkSkFMqyLY1ZPdQH36WQC","url":"https://claude.ai/code/session_017LkSkFMqyLY1ZPdQH36WQC","isMeta":false,"timestamp":"2026-02-26T07:08:32.637Z","uuid":"39d23556-b7e6-4be6-aeb9-f35da7325ccf"}


id: 1a382bf5-4943-4539-bc45-37abb45c358e
session_key: 27b2700d-1c2c-48dc-8492-f1df8a851185
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:16:14.307Z
completed_at: 2026-02-26T07:16:43.790Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"27b2700d-1c2c-48dc-8492-f1df8a851185","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"deb1bc22-1df0-4803-8790-9c914c6dba0a","toolUseID":"deb1bc22-1df0-4803-8790-9c914c6dba0a","timestamp":"2026-02-26T07:16:10.343Z","uuid":"c4375761-98a7-45f5-a705-a02eb7be7a2a"}
  {"parentUuid":"c4375761-98a7-45f5-a705-a02eb7be7a2a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"27b2700d-1c2c-48dc-8492-f1df8a851185","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01XVzNQdZpaR97im88aubdNy","url":"https://claude.ai/code/session_01XVzNQdZpaR97im88aubdNy","isMeta":false,"timestamp":"2026-02-26T07:16:11.475Z","uuid":"4a19ce8d-f061-439e-b0a0-a7774e45555f"}


id: c72c9e52-a254-4dfc-8a88-5b5ad98e412c
session_key: edb46720-3cfc-4914-84e7-abbfd80b5906
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:21:38.627Z
completed_at: 2026-02-26T07:22:26.134Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"edb46720-3cfc-4914-84e7-abbfd80b5906","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01QL1zhMYCWatW7MqMQ71iFV","url":"https://claude.ai/code/session_01QL1zhMYCWatW7MqMQ71iFV","isMeta":false,"timestamp":"2026-02-26T07:12:59.322Z","uuid":"76b8bf2e-27bb-42dd-8666-313287530d71"}
  {"parentUuid":"76b8bf2e-27bb-42dd-8666-313287530d71","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"edb46720-3cfc-4914-84e7-abbfd80b5906","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"fc39284e-aa97-4eb1-be99-d48e3849199c","toolUseID":"fc39284e-aa97-4eb1-be99-d48e3849199c","timestamp":"2026-02-26T07:12:58.494Z","uuid":"c4fa20db-316f-449d-8aa1-c97430e25785"}
  {"type":"file-history-snapshot","messageId":"e75cb611-39fa-49de-b82d-6263706a8804","snapshot":{"messageId":"e75cb611-39fa-49de-b82d-6263706a8804","trackedFileBackups":{},"timestamp":"2026-02-26T07:13:06.050Z"},"isSnapshotUpdate":false}
  {"parentUuid":"76b8bf2e-27bb-42dd-8666-313287530d71","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"edb46720-3cfc-4914-84e7-abbfd80b5906","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":"what is the goal of this repo?"},"uuid":"e75cb611-39fa-49de-b82d-6263706a8804","timestamp":"2026-02-26T07:13:05.921Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"e75cb611-39fa-49de-b82d-6263706a8804","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"edb46720-3cfc-4914-84e7-abbfd80b5906","version":"2.1.59","gitBranch":"main","message":{"model":"claude-sonnet-4-6","id":"msg_01WTSyjnHvwBzM42SwC9wGXL","type":"message","role":"assistant","content":[{"type":"text","text":"prediction market trading platform. you're building algorithmic trading strategies for markets like Kalshi and Polymarket.\n\nthe core metaphor is agricultural — strategies are \"specimens\" in \"beds\", trades are \"harvests\", filters are the \"immune system\". data flows through a trait-based pipeline: Source → Filter → Scorer → Selector → OrderExecutor.\n\nrust handles the core engine and Kalshi trading, python covers Polymarket (weather markets specifically), and there's a react terminal UI (watchtower) for monitoring."}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":17654,"cache_read_input_tokens":11013,"output_tokens":116,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":17654,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYWGNyzmwEVTPaNSXyuGe","type":"assistant","uuid":"ba1691f1-127e-4b37-a125-29851c0392e6","timestamp":"2026-02-26T07:13:10.230Z"}
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  {"parentUuid":"2d2a53b1-7bbb-49cc-b963-d437d99831d0","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"edb46720-3cfc-4914-84e7-abbfd80b5906","version":"2.1.59","gitBranch":"main","message":{"model":"claude-sonnet-4-6","id":"msg_01Lt3Hv3FLjv8xVQK6CfLuNf","type":"message","role":"assistant","content":[{"type":"text","text":"good clarification - that reframes it significantly. it's less \"algorithmic trading engine\" and more \"trading strategy IDE\" — a tool where users can compose heuristics, plug in models, and iterate, all through a polished interface.\n\nthe rust backend handles the heavy lifting (execution, backtesting, scoring pipeline), and the web/watchtower layers are the actual product surface where users interact with it.\n\ni'll update my memory on this."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":1705,"cache_read_input_tokens":28667,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":1705},"output_tokens":8,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWGpVxXtXvDvMB3dVaig","type":"assistant","uuid":"4a1ad496-3ed5-429a-9310-9b7ec62214c5","timestamp":"2026-02-26T07:18:58.295Z"}
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id: e136c8b4-5307-4dac-9ad8-a92d4c2bfc6c
session_key: 37d8af40-c9c0-40cf-b446-1275c59af323
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:21:47.365Z
completed_at: 2026-02-26T07:22:55.535Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"37d8af40-c9c0-40cf-b446-1275c59af323","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_017EekCwEU2M7kX3XmMrMCHD","url":"https://claude.ai/code/session_017EekCwEU2M7kX3XmMrMCHD","isMeta":false,"timestamp":"2026-02-26T07:21:42.222Z","uuid":"e91163ce-2701-4d9b-aa73-30bfee812217"}
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id: aa20c59b-6e99-434e-afae-35b58c73e5c0
session_key: 66fbe30f-be32-4c80-b6ff-3d4eb59d66e6
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:21:51.136Z
completed_at: 2026-02-26T07:23:32.812Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"66fbe30f-be32-4c80-b6ff-3d4eb59d66e6","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"c6571ebf-e411-4ccd-a2b9-5469e7cde2ec","toolUseID":"c6571ebf-e411-4ccd-a2b9-5469e7cde2ec","timestamp":"2026-02-26T07:06:22.232Z","uuid":"3bac8365-3f27-4c19-8ffc-e415e12a914b"}
  {"parentUuid":"3bac8365-3f27-4c19-8ffc-e415e12a914b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"66fbe30f-be32-4c80-b6ff-3d4eb59d66e6","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01XExVBB6PDy2WXbaXQPEHy5","url":"https://claude.ai/code/session_01XExVBB6PDy2WXbaXQPEHy5","isMeta":false,"timestamp":"2026-02-26T07:06:23.112Z","uuid":"80de8ef9-c963-4720-a99d-1e6dd90c14b7"}
  {"type":"file-history-snapshot","messageId":"85e0dcc4-9b91-4177-ac21-3bea782f4c7f","snapshot":{"messageId":"85e0dcc4-9b91-4177-ac21-3bea782f4c7f","trackedFileBackups":{},"timestamp":"2026-02-26T07:07:11.970Z"},"isSnapshotUpdate":false}
  {"parentUuid":"80de8ef9-c963-4720-a99d-1e6dd90c14b7","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"66fbe30f-be32-4c80-b6ff-3d4eb59d66e6","version":"2.1.59","gitBranch":"main","slug":"soft-mapping-wreath","type":"user","message":{"role":"user","content":"<command-message>monorepo-management</command-message>\n<command-name>/monorepo-management</command-name>\n<command-args>let's get this monorepo scaffolded to follow more natural conventions, so we can keep it scalable</command-args>"},"uuid":"85e0dcc4-9b91-4177-ac21-3bea782f4c7f","timestamp":"2026-02-26T07:07:11.844Z"}
  {"parentUuid":"85e0dcc4-9b91-4177-ac21-3bea782f4c7f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"66fbe30f-be32-4c80-b6ff-3d4eb59d66e6","version":"2.1.59","gitBranch":"main","slug":"soft-mapping-wreath","type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /home/nicholai/.claude/skills/monorepo-management\n\n# Monorepo Management\n\nBuild efficient, scalable monorepos that enable code sharing, consistent tooling, and atomic changes across multiple packages and applications.\n\n## When to Use This Skill\n\n- Setting up new monorepo projects\n- Migrating from multi-repo to monorepo\n- Optimizing build and test performance\n- Managing shared dependencies\n- Implementing code sharing strategies\n- Setting up CI/CD for monorepos\n- Versioning and publishing packages\n- Debugging monorepo-specific issues\n\n## Core Concepts\n\n### 1. Why Monorepos?\n\n**Advantages:**\n\n- Shared code and dependencies\n- Atomic commits across projects\n- Consistent tooling and standards\n- Easier refactoring\n- Simplified dependency management\n- Better code visibility\n\n**Challenges:**\n\n- Build performance at scale\n- CI/CD complexity\n- Access control\n- Large Git repository\n\n### 2. Monorepo Tools\n\n**Package Managers:**\n\n- pnpm workspaces (recommended)\n- npm workspaces\n- Yarn workspaces\n\n**Build Systems:**\n\n- Turborepo (recommended for most)\n- Nx (feature-rich, complex)\n- Lerna (older, maintenance mode)\n\n## Turborepo Setup\n\n### Initial Setup\n\n```bash\n# Create new monorepo\nnpx create-turbo@latest my-monorepo\ncd my-monorepo\n\n# Structure:\n# apps/\n#   web/          - Next.js app\n#   docs/         - Documentation site\n# packages/\n#   ui/           - Shared UI components\n#   config/       - Shared configurations\n#   tsconfig/     - Shared TypeScript configs\n# turbo.json      - Turborepo configuration\n# package.json    - Root package.json\n```\n\n### Configuration\n\n```json\n// turbo.json\n{\n  \"$schema\": \"https://turbo.build/schema.json\",\n  \"globalDependencies\": [\"**/.env.*local\"],\n  \"pipeline\": {\n    \"build\": {\n      \"dependsOn\": [\"^build\"],\n      \"outputs\": [\"dist/**\", \".next/**\", \"!.next/cache/**\"]\n    },\n    \"test\": {\n      \"dependsOn\": [\"build\"],\n      \"outputs\": [\"coverage/**\"]\n    },\n    \"lint\": {\n      \"outputs\": []\n    },\n    \"dev\": {\n      \"cache\": false,\n      \"persistent\": true\n    },\n    \"type-check\": {\n      \"dependsOn\": [\"^build\"],\n      \"outputs\": []\n    }\n  }\n}\n```\n\n```json\n// package.json (root)\n{\n  \"name\": \"my-monorepo\",\n  \"private\": true,\n  \"workspaces\": [\"apps/*\", \"packages/*\"],\n  \"scripts\": {\n    \"build\": \"turbo run build\",\n    \"dev\": \"turbo run dev\",\n    \"test\": \"turbo run test\",\n    \"lint\": \"turbo run lint\",\n    \"format\": \"prettier --write \\\"**/*.{ts,tsx,md}\\\"\",\n    \"clean\": \"turbo run clean && rm -rf node_modules\"\n  },\n  \"devDependencies\": {\n    \"turbo\": \"^1.10.0\",\n    \"prettier\": \"^3.0.0\",\n    \"typescript\": \"^5.0.0\"\n  },\n  \"packageManager\": \"pnpm@8.0.0\"\n}\n```\n\n### Package Structure\n\n```json\n// packages/ui/package.json\n{\n  \"name\": \"@repo/ui\",\n  \"version\": \"0.0.0\",\n  \"private\": true,\n  \"main\": \"./dist/index.js\",\n  \"types\": \"./dist/index.d.ts\",\n  \"exports\": {\n    \".\": {\n      \"import\": \"./dist/index.js\",\n      \"types\": \"./dist/index.d.ts\"\n    },\n    \"./button\": {\n      \"import\": \"./dist/button.js\",\n      \"types\": \"./dist/button.d.ts\"\n    }\n  },\n  \"scripts\": {\n    \"build\": \"tsup src/index.ts --format esm,cjs --dts\",\n    \"dev\": \"tsup src/index.ts --format esm,cjs --dts --watch\",\n    \"lint\": \"eslint src/\",\n    \"type-check\": \"tsc --noEmit\"\n  },\n  \"devDependencies\": {\n    \"@repo/tsconfig\": \"workspace:*\",\n    \"tsup\": \"^7.0.0\",\n    \"typescript\": \"^5.0.0\"\n  },\n  \"dependencies\": {\n    \"react\": \"^18.2.0\"\n  }\n}\n```\n\n## pnpm Workspaces\n\n### Setup\n\n```yaml\n# pnpm-workspace.yaml\npackages:\n  - \"apps/*\"\n  - \"packages/*\"\n  - \"tools/*\"\n```\n\n```json\n// .npmrc\n# Hoist shared dependencies\nshamefully-hoist=true\n\n# Strict peer dependencies\nauto-install-peers=true\nstrict-peer-dependencies=true\n\n# Performance\nstore-dir=~/.pnpm-store\n```\n\n### Dependency Management\n\n```bash\n# Install dependency in specific package\npnpm add react --filter @repo/ui\npnpm add -D typescript --filter @repo/ui\n\n# Install workspace dependency\npnpm add @repo/ui --filter web\n\n# Install in all packages\npnpm add -D eslint -w\n\n# Update all dependencies\npnpm update -r\n\n# Remove dependency\npnpm remove react --filter @repo/ui\n```\n\n### Scripts\n\n```bash\n# Run script in specific package\npnpm --filter web dev\npnpm --filter @repo/ui build\n\n# Run in all packages\npnpm -r build\npnpm -r test\n\n# Run in parallel\npnpm -r --parallel dev\n\n# Filter by pattern\npnpm --filter \"@repo/*\" build\npnpm --filter \"...web\" build  # Build web and dependencies\n```\n\n## Nx Monorepo\n\n### Setup\n\n```bash\n# Create Nx monorepo\nnpx create-nx-workspace@latest my-org\n\n# Generate applications\nnx generate @nx/react:app my-app\nnx generate @nx/next:app my-next-app\n\n# Generate libraries\nnx generate @nx/react:lib ui-components\nnx generate @nx/js:lib utils\n```\n\n### Configuration\n\n```json\n// nx.json\n{\n  \"extends\": \"nx/presets/npm.json\",\n  \"$schema\": \"./node_modules/nx/schemas/nx-schema.json\",\n  \"targetDefaults\": {\n    \"build\": {\n      \"dependsOn\": [\"^build\"],\n      \"inputs\": [\"production\", \"^production\"],\n      \"cache\": true\n    },\n    \"test\": {\n      \"inputs\": [\"default\", \"^production\", \"{workspaceRoot}/jest.preset.js\"],\n      \"cache\": true\n    },\n    \"lint\": {\n      \"inputs\": [\"default\", \"{workspaceRoot}/.eslintrc.json\"],\n      \"cache\": true\n    }\n  },\n  \"namedInputs\": {\n    \"default\": [\"{projectRoot}/**/*\", \"sharedGlobals\"],\n    \"production\": [\n      \"default\",\n      \"!{projectRoot}/**/?(*.)+(spec|test).[jt]s?(x)?(.snap)\",\n      \"!{projectRoot}/tsconfig.spec.json\"\n    ],\n    \"sharedGlobals\": []\n  }\n}\n```\n\n### Running Tasks\n\n```bash\n# Run task for specific project\nnx build my-app\nnx test ui-components\nnx lint utils\n\n# Run for affected projects\nnx affected:build\nnx affected:test --base=main\n\n# Visualize dependencies\nnx graph\n\n# Run in parallel\nnx run-many --target=build --all --parallel=3\n```\n\n## Shared Configurations\n\n### TypeScript Configuration\n\n```json\n// packages/tsconfig/base.json\n{\n  \"compilerOptions\": {\n    \"strict\": true,\n    \"esModuleInterop\": true,\n    \"skipLibCheck\": true,\n    \"forceConsistentCasingInFileNames\": true,\n    \"module\": \"ESNext\",\n    \"moduleResolution\": \"bundler\",\n    \"resolveJsonModule\": true,\n    \"isolatedModules\": true,\n    \"incremental\": true,\n    \"declaration\": true\n  },\n  \"exclude\": [\"node_modules\"]\n}\n\n// packages/tsconfig/react.json\n{\n  \"extends\": \"./base.json\",\n  \"compilerOptions\": {\n    \"jsx\": \"react-jsx\",\n    \"lib\": [\"ES2022\", \"DOM\", \"DOM.Iterable\"]\n  }\n}\n\n// apps/web/tsconfig.json\n{\n  \"extends\": \"@repo/tsconfig/react.json\",\n  \"compilerOptions\": {\n    \"outDir\": \"dist\",\n    \"rootDir\": \"src\"\n  },\n  \"include\": [\"src\"],\n  \"exclude\": [\"node_modules\", \"dist\"]\n}\n```\n\n### ESLint Configuration\n\n```javascript\n// packages/config/eslint-preset.js\nmodule.exports = {\n  extends: [\n    \"eslint:recommended\",\n    \"plugin:@typescript-eslint/recommended\",\n    \"plugin:react/recommended\",\n    \"plugin:react-hooks/recommended\",\n    \"prettier\",\n  ],\n  plugins: [\"@typescript-eslint\", \"react\", \"react-hooks\"],\n  parser: \"@typescript-eslint/parser\",\n  parserOptions: {\n    ecmaVersion: 2022,\n    sourceType: \"module\",\n    ecmaFeatures: {\n      jsx: true,\n    },\n  },\n  settings: {\n    react: {\n      version: \"detect\",\n    },\n  },\n  rules: {\n    \"@typescript-eslint/no-unused-vars\": \"error\",\n    \"react/react-in-jsx-scope\": \"off\",\n  },\n};\n\n// apps/web/.eslintrc.js\nmodule.exports = {\n  extends: [\"@repo/config/eslint-preset\"],\n  rules: {\n    // App-specific rules\n  },\n};\n```\n\n## Code Sharing Patterns\n\n### Pattern 1: Shared UI Components\n\n```typescript\n// packages/ui/src/button.tsx\nimport * as React from 'react';\n\nexport interface ButtonProps {\n  variant?: 'primary' | 'secondary';\n  children: React.ReactNode;\n  onClick?: () => void;\n}\n\nexport function Button({ variant = 'primary', children, onClick }: ButtonProps) {\n  return (\n    <button\n      className={`btn btn-${variant}`}\n      onClick={onClick}\n    >\n      {children}\n    </button>\n  );\n}\n\n// packages/ui/src/index.ts\nexport { Button, type ButtonProps } from './button';\nexport { Input, type InputProps } from './input';\n\n// apps/web/src/app.tsx\nimport { Button } from '@repo/ui';\n\nexport function App() {\n  return <Button variant=\"primary\">Click me</Button>;\n}\n```\n\n### Pattern 2: Shared Utilities\n\n```typescript\n// packages/utils/src/string.ts\nexport function capitalize(str: string): string {\n  return str.charAt(0).toUpperCase() + str.slice(1);\n}\n\nexport function truncate(str: string, length: number): string {\n  return str.length > length ? str.slice(0, length) + \"...\" : str;\n}\n\n// packages/utils/src/index.ts\nexport * from \"./string\";\nexport * from \"./array\";\nexport * from \"./date\";\n\n// Usage in apps\nimport { capitalize, truncate } from \"@repo/utils\";\n```\n\n### Pattern 3: Shared Types\n\n```typescript\n// packages/types/src/user.ts\nexport interface User {\n  id: string;\n  email: string;\n  name: string;\n  role: \"admin\" | \"user\";\n}\n\nexport interface CreateUserInput {\n  email: string;\n  name: string;\n  password: string;\n}\n\n// Used in bot
  [truncated]


id: 30af3dee-e2a4-4bee-a9d3-213c5bd2a3ec
session_key: 9b05a9bd-6328-416b-a16e-362fee5b67eb
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:33:51.806Z
completed_at: 2026-02-26T07:34:28.480Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"9b05a9bd-6328-416b-a16e-362fee5b67eb","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"7fa0cb28-b7e6-4862-a668-205178b60cc9","toolUseID":"7fa0cb28-b7e6-4862-a668-205178b60cc9","timestamp":"2026-02-26T07:06:06.334Z","uuid":"e33a253d-7d5e-4e23-9108-e2428d1093eb"}
  {"parentUuid":"e33a253d-7d5e-4e23-9108-e2428d1093eb","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"9b05a9bd-6328-416b-a16e-362fee5b67eb","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01X8ybfAdpysoNu3wxtUFaQB","url":"https://claude.ai/code/session_01X8ybfAdpysoNu3wxtUFaQB","isMeta":false,"timestamp":"2026-02-26T07:06:07.156Z","uuid":"80165eea-514f-4496-812a-ee9c35d81bce"}


id: 548bee26-2a93-4263-8f09-3c272f407ea3
session_key: 0f9726ad-8674-4919-8ec9-4a310c259b7c
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:54:57.475Z
completed_at: 2026-02-26T07:55:41.654Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"3cbe3305-59ea-4c74-b86e-c15aee4529ce","toolUseID":"3cbe3305-59ea-4c74-b86e-c15aee4529ce","timestamp":"2026-02-26T07:45:15.832Z","uuid":"ca8ac392-6788-49e5-845a-fa3d6a5a33c3"}
  {"parentUuid":"ca8ac392-6788-49e5-845a-fa3d6a5a33c3","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_016RM2VgFdmse7c2jz4VKwev","url":"https://claude.ai/code/session_016RM2VgFdmse7c2jz4VKwev","isMeta":false,"timestamp":"2026-02-26T07:45:16.716Z","uuid":"578e1515-8f1c-4b18-a46b-5f4e37039346"}
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  {"parentUuid":"d0012373-3e47-4fb5-9884-93854a653c18","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","slug":"refactored-waddling-tarjan","message":{"model":"claude-opus-4-6","id":"msg_01CVUoeMbymXUXewFfGy5EFQ","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants to make the watchtower (currently a React terminal UI using opentui) also work as a web UI. Let me explore the codebase to understand the current watchtower architecture and figure out the best approach.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23244,"cache_read_input_tokens":7413,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23244},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWJrsz8o5bWMd76KEmon","type":"assistant","uuid":"9349bb6a-573a-4a4a-9416-7f78b47b496d","timestamp":"2026-02-26T07:45:41.966Z"}
  {"parentUuid":"9349bb6a-573a-4a4a-9416-7f78b47b496d","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","slug":"refactored-waddling-tarjan","message":{"model":"claude-opus-4-6","id":"msg_01CVUoeMbymXUXewFfGy5EFQ","type":"message","role":"assistant","content":[{"type":"text","text":"alright, this is an interesting one. let me dig into the watchtower codebase and understand what we're working with before i start planning."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23244,"cache_read_input_tokens":7413,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":23244},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWJrsz8o5bWMd76KEmon","type":"assistant","uuid":"78e8a68b-8870-47b6-8301-b1980a5653fc","timestamp":"2026-02-26T07:45:42.909Z"}
  {"parentUuid":"78e8a68b-8870-47b6-8301-b1980a5653fc","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","slug":"refactored-waddling-tarjan","message":{"model":"claude-opus-4-6","id":"msg_01CVUoeMbymXUXewFfGy5EFQ","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01NAVuNe5jFPjUPeKGbyKcLP","name":"Task","input":{"subagent_type":"Explore","description":"explore watchtower architecture","prompt":"Thoroughly explore the watchtower directory at /home/nicholai/openmarketui/watchtower/. I need to understand:\n\n1. The full file structure (all files and directories)\n2. The package.json - dependencies, scripts, entry points\n3. The main entry point and how the app boots\n4. What opentui is and how it's used (rendering layer, components, etc.)\n5. How components are structured - what React components exist, what they render\n6. State management (zustand stores)\n7. Any data fetching / WebSocket connections to pm-server\n8. The tsconfig and build configuration\n\nRead all significant source files. I need a complete picture of the architecture to plan making this work as both a terminal UI and a web UI."},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":23244,"cache_read_input_tokens":7413,"output_tokens":355,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":23244,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYWJrsz8o5bWMd76KEmon","type":"assistant","uuid":"4ca17d60-585b-4e62-b56d-ca4e4fd7b6fa","timestamp":"2026-02-26T07:45:47.815Z"}
  {"parentUuid":"4ca17d60-585b-4e62-b56d-ca4e4fd7b6fa","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","slug":"refactored-waddling-tarjan","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"type":"text","text":"Thoroughly explore the watchtower directory at /home/nicholai/openmarketui/watchtower/. I need to understand:\n\n1. The full file structure (all files and directories)\n2. The package.json - dependencies, scripts, entry points\n3. The main entry point and how the app boots\n4. What opentui is and how it's used (rendering layer, components, etc.)\n5. How components are structured - what React components exist, what they render\n6. State management (zustand stores)\n7. Any data fetching / WebSocket connections to pm-server\n8. The tsconfig and build configuration\n\nRead all significant source files. I need a complete picture of the architecture to plan making this work as both a terminal UI and a web UI."}]},"uuid":"a508ce5b-7b48-482c-8d4b-454ad30888d8","timestamp":"2026-02-26T07:45:47.818Z"},"normalizedMessages":[],"type":"agent_progress","prompt":"Thoroughly explore the watchtower directory at /home/nicholai/openmarketui/watchtower/. I need to understand:\n\n1. The full file structure (all files and directories)\n2. The package.json - dependencies, scripts, entry points\n3. The main entry point and how the app boots\n4. What opentui is and how it's used (rendering layer, components, etc.)\n5. How components are structured - what React components exist, what they render\n6. State management (zustand stores)\n7. Any data fetching / WebSocket connections to pm-server\n8. The tsconfig and build configuration\n\nRead all significant source files. I need a complete picture of the architecture to plan making this work as both a terminal UI and a web UI.","agentId":"ad0ef494558ae4c70"},"toolUseID":"agent_msg_01CVUoeMbymXUXewFfGy5EFQ","parentToolUseID":"toolu_01NAVuNe5jFPjUPeKGbyKcLP","uuid":"3779bb5f-5409-485e-8a7e-97e92d888bfb","timestamp":"2026-02-26T07:45:47.819Z"}
  {"parentUuid":"3779bb5f-5409-485e-8a7e-97e92d888bfb","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","slug":"refactored-waddling-tarjan","type":"progress","data":{"message":{"type":"assistant","timestamp":"2026-02-26T07:45:49.837Z","message":{"model":"claude-haiku-4-5-20251001","id":"msg_01RnMvUssf3RUoToR6CuVmDw","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_017kQcWNAtLJ3ta1witaHrXc","name":"Bash","input":{"command":"find /home/nicholai/openmarketui/watchtower -type f -name \"*.ts\" -o -name \"*.tsx\" -o -name \"*.json\" -o -name \"*.js\" -o -name \"*.mjs\" | head -100"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":2,"cache_creation_input_tokens":39803,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":39803},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"},"context_management":null},"requestId":"req_011CYWJsakKsDMnWMB3xxm5j","uuid":"9dc7ff58-48e6-4ce6-99a4-5cfa1773148f"},"normalizedMessages":[],"type":"agent_progress","prompt":"Thoroughly explore the watchtower directory at /home/nicholai/openmarketui/watchtower/. I need to understand:\n\n1. The full file structure (all files and directories)\n2. The package.json - dependencies, scripts, entry points\n3. The main entry point and how the app boots\n4. What opentui is and how it's used (rendering layer, components, etc.)\n5. How components are structured - what React components exist, what they render\n6. State management (zustand stores)\n7. Any data fetching / WebSocket connections to pm-server\n8. The tsconfig and build configuration\n\nRead all significant source files. I need a complete picture of the architecture to plan making this work as both a terminal UI and a web UI.","agentId":"ad0ef494558ae4c70"},"toolUseID":"agent_msg_01CVUoeMbymXUXewFfGy5EFQ","parentToolUseID":"toolu_01NAVuNe5jFPjUPeKGbyKcLP","uuid":"d8bb1bf7-2c54-4136-b0fb-348a962fe362","timestamp":"2026-02-26T07:45:49.838Z"}
  {"parentUuid":"d8bb1bf7-2c54-4136-b0fb-348a962fe362","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"0f9726ad-8674-4919-8ec9-4a310c259b7c","version":"2.1.59","gitBranch":"main","slug":"refactored-waddling-tarjan","type":"progress","data":{"message":{"type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_017kQcWNAtLJ3ta1witaHrXc","type":"tool_result","content":"/home/nicholai/openmarketui/watchtower/package.json\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/package.json\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/manhattan.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/pngQuant.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/distanceCalculator.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/cmetric.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/euclidean.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/ciede2000.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/cie94.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/distance/index.d.ts\n/home/nicholai/openmarketui/watchtower/node_modules/image-q/dist/types/src/quality/ssim.d.ts\n/home/nichola
  [truncated]


id: be14081b-aec0-4431-8b39-4b0c21223726
session_key: 5737ca97-15e9-4f30-99d6-828825b15233
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T07:56:17.416Z
completed_at: 2026-02-26T07:57:02.720Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01DkgMCEeqQw2hhfGeiQYvG8","url":"https://claude.ai/code/session_01DkgMCEeqQw2hhfGeiQYvG8","isMeta":false,"timestamp":"2026-02-26T07:21:55.557Z","uuid":"55e751e8-c53b-49ff-82fc-26d76ecc5d78"}
  {"parentUuid":"55e751e8-c53b-49ff-82fc-26d76ecc5d78","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"74fb7518-0772-42fe-a827-8b279a6c45ab","toolUseID":"74fb7518-0772-42fe-a827-8b279a6c45ab","timestamp":"2026-02-26T07:21:54.736Z","uuid":"8b082339-3591-4fbb-870e-e82f32ad41e8"}
  {"type":"file-history-snapshot","messageId":"c2d68da7-d35b-42ff-b136-db490404db4b","snapshot":{"messageId":"c2d68da7-d35b-42ff-b136-db490404db4b","trackedFileBackups":{},"timestamp":"2026-02-26T07:22:33.253Z"},"isSnapshotUpdate":false}
  {"parentUuid":"55e751e8-c53b-49ff-82fc-26d76ecc5d78","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":"I would like to use a model alongside the heuristic pipeline, similar to @docs/cross-attention.md and @references/microgpt"},"uuid":"c2d68da7-d35b-42ff-b136-db490404db4b","timestamp":"2026-02-26T07:22:33.122Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"c2d68da7-d35b-42ff-b136-db490404db4b","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01Vx7Bxty1Tzy3jVtuT3kYYU","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Nicholai wants to integrate a model alongside the heuristic pipeline in OpenMarketUI. He's referencing two things:\n\n1. `docs/cross-attention.md` - which I was shown is actually the Signet Memory Pipeline v2 spec (that's weird, maybe the wrong file was read, or maybe the filename is misleading)\n2. `references/microgpt` - a reference project with Rust + Python code\n\nLet me look at the actual relevant files to understand what he's working with. I need to read the microgpt reference and understand the current pipeline architecture better before I can have a useful conversation.\n\nWait - the system reminder showed `docs/cross-attention.md` content but it's the Signet memory pipeline spec. \n\nI should check what's actually in the references/microgpt directory and examine the current pipeline traits to see how an integration would fit.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46669,"cache_read_input_tokens":7413,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46669},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWH6oQi1W5Cfei1mJoXF","type":"assistant","uuid":"bcb1e203-f56b-4dcd-9d0c-4dd7843833ab","timestamp":"2026-02-26T07:22:43.113Z"}
  {"parentUuid":"bcb1e203-f56b-4dcd-9d0c-4dd7843833ab","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","message":{"model":"claude-opus-4-6","id":"msg_01Vx7Bxty1Tzy3jVtuT3kYYU","type":"message","role":"assistant","content":[{"type":"text","text":"let me get oriented on both references before we start riffing."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46669,"cache_read_input_tokens":7413,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46669},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWH6oQi1W5Cfei1mJoXF","type":"assistant","uuid":"581193b0-3bb6-472d-b1df-e765b74c5231","timestamp":"2026-02-26T07:22:43.371Z"}
  {"parentUuid":"581193b0-3bb6-472d-b1df-e765b74c5231","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","slug":"merry-fluttering-flame","message":{"model":"claude-opus-4-6","id":"msg_01Vx7Bxty1Tzy3jVtuT3kYYU","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01EHozpXJi5orNr4RqdpGKGR","name":"Read","input":{"file_path":"/home/nicholai/openmarketui/references/microgpt/src/main.rs"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":46669,"cache_read_input_tokens":7413,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":46669},"output_tokens":2,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWH6oQi1W5Cfei1mJoXF","type":"assistant","uuid":"d0999df4-f22a-4f78-af01-2bcd61838b4c","timestamp":"2026-02-26T07:22:43.939Z"}
  {"parentUuid":"d0999df4-f22a-4f78-af01-2bcd61838b4c","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","slug":"merry-fluttering-flame","type":"progress","data":{"type":"hook_progress","hookEvent":"PostToolUse","hookName":"PostToolUse:Read","command":"callback"},"parentToolUseID":"toolu_01EHozpXJi5orNr4RqdpGKGR","toolUseID":"toolu_01EHozpXJi5orNr4RqdpGKGR","timestamp":"2026-02-26T07:22:43.994Z","uuid":"68cedcf4-50e5-4306-afd9-67f1a96d0ddb"}
  {"parentUuid":"d0999df4-f22a-4f78-af01-2bcd61838b4c","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5737ca97-15e9-4f30-99d6-828825b15233","version":"2.1.59","gitBranch":"main","slug":"merry-fluttering-flame","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01EHozpXJi5orNr4RqdpGKGR","type":"tool_result","content":"     1→/// microgpt.rs — optimized with operation-level autograd\n     2→/// Faithful to Karpathy's microgpt.py architecture.\n     3→/// Zero dependencies. This file is the complete algorithm.\n     4→///\n     5→/// Key optimization: Vec<f64> tensor operations instead of scalar Value nodes.\n     6→/// Each matmul/softmax/rmsnorm is ONE tape entry instead of thousands.\n     7→use std::fs;\n     8→use std::io::{self, Write};\n     9→\n    10→// --- RNG (xorshift64) ---\n    11→\n    12→struct Rng {\n    13→    state: u64,\n    14→}\n    15→\n    16→impl Rng {\n    17→    fn new(seed: u64) -> Self {\n    18→        Rng { state: seed }\n    19→    }\n    20→\n    21→    fn next_u64(&mut self) -> u64 {\n    22→        self.state ^= self.state << 13;\n    23→        self.state ^= self.state >> 7;\n    24→        self.state ^= self.state << 17;\n    25→        self.state\n    26→    }\n    27→\n    28→    fn next_f64(&mut self) -> f64 {\n    29→        (self.next_u64() >> 11) as f64 / (1u64 << 53) as f64\n    30→    }\n    31→\n    32→    fn gauss(&mut self, mean: f64, std: f64) -> f64 {\n    33→        let u1 = self.next_f64().max(1e-10);\n    34→        let u2 = self.next_f64();\n    35→        let z = (-2.0 * u1.ln()).sqrt() * (2.0 * std::f64::consts::PI * u2).cos();\n    36→        mean + std * z\n    37→    }\n    38→\n    39→    fn shuffle<T>(&mut self, slice: &mut [T]) {\n    40→        for i in (1..slice.len()).rev() {\n    41→            let j = (self.next_u64() as usize) % (i + 1);\n    42→            slice.swap(i, j);\n    43→        }\n    44→    }\n    45→\n    46→    fn choices_weighted(&mut self, weights: &[f64]) -> usize {\n    47→        let total: f64 = weights.iter().sum();\n    48→        let mut r = self.next_f64() * total;\n    49→        for (i, &w) in weights.iter().enumerate() {\n    50→            r -= w;\n    51→            if r <= 0.0 {\n    52→                return i;\n    53→            }\n    54→        }\n    55→        weights.len() - 1\n    56→    }\n    57→}\n    58→\n    59→// --- Parameters ---\n    60→\n    61→struct Param {\n    62→    data: Vec<f64>, // row-major, shape = (rows, cols)\n    63→    grad: Vec<f64>,\n    64→    rows: usize,\n    65→    cols: usize,\n    66→}\n    67→\n    68→impl Param {\n    69→    fn matrix(rng: &mut Rng, rows: usize, cols: usize, std: f64) -> Self {\n    70→        let n = rows * cols;\n    71→        let data = (0..n).map(|_| rng.gauss(0.0, std)).collect();\n    72→        Param {\n    73→            data,\n    74→            grad: vec![0.0; n],\n    75→            rows,\n    76→            cols,\n    77→        }\n    78→    }\n    79→\n    80→    fn zero_grad(&mut self) {\n    81→        self.grad.fill(0.0);\n    82→    }\n    83→}\n    84→\n    85→// --- Operation-level Autograd ---\n    86→\n    87→type Act = usize; // index into activation buffers\n    88→\n    89→enum Op {\n    90→    Embed {\n    91→        param: usize,\n    92→        row: usize,\n    93→        out: Act,\n    94→    },\n    95→    VecAdd {\n    96→        a: Act,\n    97→        b: Act,\n    98→        out: Act,\n    99→    },\n   100→    MatVec {\n   101→        param: usize,\n   102→        x: Act,\n   103→        out: Act,\n   104→    },\n   105→    RmsNorm {\n   106→        x: Act,\n   107→        out: Act,\n   108→        rrms: f64,\n   109→    },\n   110→    Relu {\n   111→        x: Act,\n   112→        out: Act,\n   113→    },\n   114→    Softmax {\n   115→        x: Act,\n   116→        out: Act,\n   117→    },\n   118→    Attention {\n   119→        q: Act,\n   120→        keys: Vec<Act>,\n   121→        values: Vec<Act>,\n   122→        n_head: usize,\n   123→        head_dim: usize,\n   124→        out: Act,\n   125→        attn_weights: Vec<Vec<f64>>, // [n_head][T]\n   126→    },\n   127→    NegLogProb {\n   128→        x: Act,\n   129→        idx: usize,\n   130→        out: Act,\n   131→    },\n   132→    Mean {\n   133→        inputs: Vec<Act>,\n   134→        out: Act,\n   135→    },\n   136→    Scale {\n   137→        x: Act,\n   138→        factor: f64,\n   139
  [truncated]


id: d09dca43-ce61-4931-8c05-6ebe915535b4
session_key: f75fe4d6-f33f-4a84-b027-b88a09294a74
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T08:14:21.374Z
completed_at: 2026-02-26T08:15:00.389Z
transcript:
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  [truncated]


id: 13be4d80-c175-4a3f-9bbd-a3bcf560ca97
session_key: c49cfe41-eb81-4320-80a1-93d49af78178
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T08:53:24.022Z
completed_at: 2026-02-26T08:54:07.766Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"c49cfe41-eb81-4320-80a1-93d49af78178","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"d5180e22-720f-4fdb-977c-7cca5df932a0","toolUseID":"d5180e22-720f-4fdb-977c-7cca5df932a0","timestamp":"2026-02-26T07:55:16.808Z","uuid":"97df2bc1-1868-47c8-89e5-e6028a3b07ed"}
  {"parentUuid":"97df2bc1-1868-47c8-89e5-e6028a3b07ed","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"c49cfe41-eb81-4320-80a1-93d49af78178","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01H7oR8tX4ZJBMivCdvtqHic","url":"https://claude.ai/code/session_01H7oR8tX4ZJBMivCdvtqHic","isMeta":false,"timestamp":"2026-02-26T07:55:17.787Z","uuid":"d8a29c59-c9b7-4e8a-a383-4d8557f85643"}
  {"type":"file-history-snapshot","messageId":"0b208053-6fdb-4963-b39d-40ebf34ece49","snapshot":{"messageId":"0b208053-6fdb-4963-b39d-40ebf34ece49","trackedFileBackups":{},"timestamp":"2026-02-26T07:56:02.846Z"},"isSnapshotUpdate":false}
  {"parentUuid":"d8a29c59-c9b7-4e8a-a383-4d8557f85643","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"c49cfe41-eb81-4320-80a1-93d49af78178","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":"<command-message>interface-design</command-message>\n<command-name>/interface-design</command-name>\n<command-args>I would like a way to pull/collect backdata in the watchtower ui</command-args>"},"uuid":"0b208053-6fdb-4963-b39d-40ebf34ece49","timestamp":"2026-02-26T07:56:02.705Z"}
  {"parentUuid":"0b208053-6fdb-4963-b39d-40ebf34ece49","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"c49cfe41-eb81-4320-80a1-93d49af78178","version":"2.1.59","gitBranch":"main","type":"user","message":{"role":"user","content":[{"type":"text","text":"Base directory for this skill: /home/nicholai/.claude/skills/interface-design\n\n# Interface Design\n\nBuild interface design with craft and consistency.\n\n## Scope\n\n**Use for:** Dashboards, admin panels, SaaS apps, tools, settings pages, data interfaces.\n\n**Not for:** Landing pages, marketing sites, campaigns. Redirect those to `/frontend-design`.\n\n---\n\n# The Problem\n\nYou will generate generic output. Your training has seen thousands of dashboards. The patterns are strong.\n\nYou can follow the entire process below — explore the domain, name a signature, state your intent — and still produce a template. Warm colors on cold structures. Friendly fonts on generic layouts. \"Kitchen feel\" that looks like every other app.\n\nThis happens because intent lives in prose, but code generation pulls from patterns. The gap between them is where defaults win.\n\nThe process below helps. But process alone doesn't guarantee craft. You have to catch yourself.\n\n---\n\n# Where Defaults Hide\n\nDefaults don't announce themselves. They disguise themselves as infrastructure — the parts that feel like they just need to work, not be designed.\n\n**Typography feels like a container.** Pick something readable, move on. But typography isn't holding your design — it IS your design. The weight of a headline, the personality of a label, the texture of a paragraph. These shape how the product feels before anyone reads a word. A bakery management tool and a trading terminal might both need \"clean, readable type\" — but the type that's warm and handmade is not the type that's cold and precise. If you're reaching for your usual font, you're not designing.\n\n**Navigation feels like scaffolding.** Build the sidebar, add the links, get to the real work. But navigation isn't around your product — it IS your product. Where you are, where you can go, what matters most. A page floating in space is a component demo, not software. The navigation teaches people how to think about the space they're in.\n\n**Data feels like presentation.** You have numbers, show numbers. But a number on screen is not design. The question is: what does this number mean to the person looking at it? What will they do with it? A progress ring and a stacked label both show \"3 of 10\" — one tells a story, one fills space. If you're reaching for number-on-label, you're not designing.\n\n**Token names feel like implementation detail.** But your CSS variables are design decisions. `--ink` and `--parchment` evoke a world. `--gray-700` and `--surface-2` evoke a template. Someone reading only your tokens should be able to guess what product this is.\n\nThe trap is thinking some decisions are creative and others are structural. There are no structural decisions. Everything is design. The moment you stop asking \"why this?\" is the moment defaults take over.\n\n---\n\n# Intent First\n\nBefore touching code, answer these. Not in your head — out loud, to yourself or the user.\n\n**Who is this human?**\nNot \"users.\" The actual person. Where are they when they open this? What's on their mind? What did they do 5 minutes ago, what will they do 5 minutes after? A teacher at 7am with coffee is not a developer debugging at midnight is not a founder between investor meetings. Their world shapes the interface.\n\n**What must they accomplish?**\nNot \"use the dashboard.\" The verb. Grade these submissions. Find the broken deployment. Approve the payment. The answer determines what leads, what follows, what hides.\n\n**What should this feel like?**\nSay it in words that mean something. \"Clean and modern\" means nothing — every AI says that. Warm like a notebook? Cold like a terminal? Dense like a trading floor? Calm like a reading app? The answer shapes color, type, spacing, density — everything.\n\nIf you cannot answer these with specifics, stop. Ask the user. Do not guess. Do not default.\n\n## Every Choice Must Be A Choice\n\nFor every decision, you must be able to explain WHY.\n\n- Why this layout and not another?\n- Why this color temperature?\n- Why this typeface?\n- Why this spacing scale?\n- Why this information hierarchy?\n\nIf your answer is \"it's common\" or \"it's clean\" or \"it works\" — you haven't chosen. You've defaulted. Defaults are invisible. Invisible choices compound into generic output.\n\n**The test:** If you swapped your choices for the most common alternatives and the design didn't feel meaningfully different, you never made real choices.\n\n## Sameness Is Failure\n\nIf another AI, given a similar prompt, would produce substantially the same output — you have failed.\n\nThis is not about being different for its own sake. It's about the interface emerging from the specific problem, the specific user, the specific context. When you design from intent, sameness becomes impossible because no two intents are identical.\n\nWhen you design from defaults, everything looks the same because defaults are shared.\n\n## Intent Must Be Systemic\n\nSaying \"warm\" and using cold colors is not following through. Intent is not a label — it's a constraint that shapes every decision.\n\nIf the intent is warm: surfaces, text, borders, accents, semantic colors, typography — all warm. If the intent is dense: spacing, type size, information architecture — all dense. If the intent is calm: motion, contrast, color saturation — all calm.\n\nCheck your output against your stated intent. Does every token reinforce it? Or did you state an intent and then default anyway?\n\n---\n\n# Product Domain Exploration\n\nThis is where defaults get caught — or don't.\n\nGeneric output: Task type → Visual template → Theme\nCrafted output: Task type → Product domain → Signature → Structure + Expression\n\nThe difference: time in the product's world before any visual or structural thinking.\n\n## Required Outputs\n\n**Do not propose any direction until you produce all four:**\n\n**Domain:** Concepts, metaphors, vocabulary from this product's world. Not features — territory. Minimum 5.\n\n**Color world:** What colors exist naturally in this product's domain? Not \"warm\" or \"cool\" — go to the actual world. If this product were a physical space, what would you see? What colors belong there that don't belong elsewhere? List 5+.\n\n**Signature:** One element — visual, structural, or interaction — that could only exist for THIS product. If you can't name one, keep exploring.\n\n**Defaults:** 3 obvious choices for this interface type — visual AND structural. You can't avoid patterns you haven't named.\n\n## Proposal Requirements\n\nYour direction must explicitly reference:\n- Domain concepts you explored\n- Colors from your color world exploration\n- Your signature element\n- What replaces each default\n\n**The test:** Read your proposal. Remove the product name. Could someone identify what this is for? If not, it's generic. Explore deeper.\n\n---\n\n# The Mandate\n\n**Before showing the user, look at what you made.**\n\nAsk yourself: \"If they said this lacks craft, what would they mean?\"\n\nThat thing you just thought of — fix it first.\n\nYour first output is probably generic. That's normal. The work is catching it before the user has to.\n\n## The Checks\n\nRun these against your output before presenting:\n\n- **The swap test:** If you swapped the typeface for your usual one, would anyone notice? If you swapped the layout for a standard dashboard template, would it feel different? The places where swapping wouldn't matter are the places you defaulted.\n\n- **The squint test:** Blur your eyes. Can you still perceive hierarchy? Is anything jumping out harshly? Craft whispers.\n\n- **The signature test:** Can you point to five specific elements where your signature appears? Not \"the overall feel\" — actual components. A signature you can't locate doesn't exist.\n\n- **The token test:** Read your CSS variables out loud. Do they sound like they belong to this product's world, or could they belong to any project?\n\nIf any check fails, iterate before showing.\n\n---\n\n# Craft Foundations\n\n## Subtle Layering\n\nThis is the backbone of craft. Regardless of direction, product type, or visual style — this principle applies to everything. You should barely notice the system working. When you look at Vercel's dashboard, you don't think \"nice borders.\" You just understand the structure. The craft is invisible — that's how you know it's working.\n\n### Surface Elevation\n\nSurfaces stack. A dropdown sits above a card which sits above the page. Build a numbered system — base, then increasing elevation levels. In dark mode, higher elevation = slightly lighter. In light mode, higher elevation = slightly lighter or uses shadow.\n\nEach jump should be only a few percentage points of lightness. You can barely see the difference in isolation. But when surfaces stack, the hierarchy emerges. Whisper-quiet shifts that you feel rather than see.\n\n**Key decisions:**\n- **Sidebars:** Same background as canvas, not different. Different colors fragment the visual space into \"sidebar world\" and \"content world.\" A subtle border is enough separation.\n- **Dropdowns:** One level above their parent surface. If both share the same level, the dropdown blends into the card and layering is lost.\n- **Inputs:** Slightly darker than their surroundings, not lighter. Inputs are \"inset\" — they receive content. A darker background signals \"type here\" without heavy borders.\n\n### Borders\n\nBorders should disappear when you're not looking for them, but be findable when you need structure. Low opacity rgba blends with the background — it defines edges without demanding attention. Solid hex borders look harsh in comparison.\n\nBuild a progression — not all borders are equal. Standard borders, softer separation, emphasis borders, maximum 
  [truncated]


id: 0ee6cc2c-c5dc-4ac1-8e86-6d5f0f574eb7
session_key: f75df3fb-0d48-40c0-900e-1342742a36ad
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-26T09:12:26.593Z
completed_at: 2026-02-26T09:13:07.672Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","type":"system","subtype":"bridge_status","content":"/remote-control is active. Code in CLI or at https://claude.ai/code/session_01MEKLKDNqNEjjMiiA2sesX8","url":"https://claude.ai/code/session_01MEKLKDNqNEjjMiiA2sesX8","isMeta":false,"timestamp":"2026-02-26T04:05:18.004Z","uuid":"5cf3ccc3-aa14-4efa-be3a-e94396828826"}
  {"parentUuid":"5cf3ccc3-aa14-4efa-be3a-e94396828826","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"026361ba-cb2b-40b2-b933-1a7b2cec6d0f","toolUseID":"026361ba-cb2b-40b2-b933-1a7b2cec6d0f","timestamp":"2026-02-26T04:05:17.149Z","uuid":"f9dfd304-16c7-4fa7-9372-296f9b25c42b"}
  {"type":"file-history-snapshot","messageId":"baecadd3-7d41-430a-8fb2-8498955f62ef","snapshot":{"messageId":"baecadd3-7d41-430a-8fb2-8498955f62ef","trackedFileBackups":{},"timestamp":"2026-02-26T04:23:27.803Z"},"isSnapshotUpdate":false}
  {"parentUuid":"5cf3ccc3-aa14-4efa-be3a-e94396828826","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","type":"user","message":{"role":"user","content":"my system audio just isn't playing back"},"uuid":"baecadd3-7d41-430a-8fb2-8498955f62ef","timestamp":"2026-02-26T04:23:27.677Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"baecadd3-7d41-430a-8fb2-8498955f62ef","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","message":{"model":"claude-sonnet-4-6","id":"msg_017hvKqAswdAFYMji9fa2nid","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"The user is having a system audio playback issue. This is a Linux system (Arch Linux based on the kernel version 6.18.9-arch1-2). Let me help them diagnose this.","signature":"EsoCCkYICxgCKkA4KMZXUmwSCf9pLaWBhYZF3nV/ijpMNJe+2WwBTwxjO5IqltB2k2Uepdvf7n39lFOiJze8SGxU1tAXaSyfZQLWEgwRQbLOSsrceFnKYMMaDMEhzy0xnYKgTst/hiIw/S9ntwKIpCCmpUZulqX19Ubah7NmvP8nSB9ofKBos2xsWX9mP0OUKLWgFNyUslWlKrEBfhKEEWUpbqZ4/3lxUPGXgGVB2ZckqaAQ832cZbGoqRf7Zhfcl3OA9Y+pvcsAsCSqmn2yYFsvj7VCD8MjeRdHx2WgxxDpYuHMgOGBZp44SUP+P4L1HkK1/qTBrOhcpmgKWL1Z55T2xtZtYbAThmucLWry/fxKWajMUl8eMdZYDMFhIIHJZCvdQSjSadOTsLXkWPGvj4fxqJzURqq58zQG8V1/Vqq5RTdKgzbRK2ahhGC0GAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":27795,"cache_read_input_tokens":7343,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":27795},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYW3Si4v8rF2y756Rpud8","type":"assistant","uuid":"c32adc6c-495c-40ae-84b0-6a32d483a255","timestamp":"2026-02-26T04:23:31.050Z"}
  {"parentUuid":"c32adc6c-495c-40ae-84b0-6a32d483a255","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","message":{"model":"claude-sonnet-4-6","id":"msg_017hvKqAswdAFYMji9fa2nid","type":"message","role":"assistant","content":[{"type":"text","text":"let's check what's going on. quick triage:"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":27795,"cache_read_input_tokens":7343,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":27795},"output_tokens":7,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYW3Si4v8rF2y756Rpud8","type":"assistant","uuid":"750d7e77-ea7a-4876-8d57-3baf573d5631","timestamp":"2026-02-26T04:23:31.774Z"}
  {"parentUuid":"750d7e77-ea7a-4876-8d57-3baf573d5631","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","message":{"model":"claude-sonnet-4-6","id":"msg_017hvKqAswdAFYMji9fa2nid","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01SHzzUC9gAtiQ9bfnzsV3eo","name":"Bash","input":{"command":"pactl info 2>&1 | head -20; echo \"---\"; pactl list sinks short 2>&1","description":"Check PulseAudio/PipeWire status and sinks"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":3,"cache_creation_input_tokens":27795,"cache_read_input_tokens":7343,"output_tokens":182,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":27795,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYW3Si4v8rF2y756Rpud8","type":"assistant","uuid":"68b49824-95a0-4f60-bea7-4f9e16daccca","timestamp":"2026-02-26T04:23:33.001Z"}
  {"parentUuid":"68b49824-95a0-4f60-bea7-4f9e16daccca","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01SHzzUC9gAtiQ9bfnzsV3eo","type":"tool_result","content":"Server String: /run/user/1000/pulse/native\nLibrary Protocol Version: 35\nServer Protocol Version: 35\nIs Local: yes\nClient Index: 16810\nTile Size: 65472\nUser Name: nicholai\nHost Name: archlinux\nServer Name: PulseAudio (on PipeWire 1.4.10)\nServer Version: 15.0.0\nDefault Sample Specification: float32le 2ch 48000Hz\nDefault Channel Map: front-left,front-right\nDefault Sink: alsa_output.pci-0000_01_00.1.hdmi-stereo\nDefault Source: alsa_input.usb-BurrBrown_from_Texas_Instruments_USB_AUDIO_CODEC-00.analog-stereo\nCookie: 2012:a16a\n---\n2297\talsa_output.usb-BurrBrown_from_Texas_Instruments_USB_AUDIO_CODEC-00.analog-stereo\tPipeWire\ts16le 2ch 48000Hz\tSUSPENDED\n16661\talsa_output.pci-0000_01_00.1.hdmi-stereo\tPipeWire\ts32le 2ch 48000Hz\tRUNNING","is_error":false}]},"uuid":"e5bdd680-3690-40fe-984d-2060531ca6f1","timestamp":"2026-02-26T04:23:33.952Z","toolUseResult":{"stdout":"Server String: /run/user/1000/pulse/native\nLibrary Protocol Version: 35\nServer Protocol Version: 35\nIs Local: yes\nClient Index: 16810\nTile Size: 65472\nUser Name: nicholai\nHost Name: archlinux\nServer Name: PulseAudio (on PipeWire 1.4.10)\nServer Version: 15.0.0\nDefault Sample Specification: float32le 2ch 48000Hz\nDefault Channel Map: front-left,front-right\nDefault Sink: alsa_output.pci-0000_01_00.1.hdmi-stereo\nDefault Source: alsa_input.usb-BurrBrown_from_Texas_Instruments_USB_AUDIO_CODEC-00.analog-stereo\nCookie: 2012:a16a\n---\n2297\talsa_output.usb-BurrBrown_from_Texas_Instruments_USB_AUDIO_CODEC-00.analog-stereo\tPipeWire\ts16le 2ch 48000Hz\tSUSPENDED\n16661\talsa_output.pci-0000_01_00.1.hdmi-stereo\tPipeWire\ts32le 2ch 48000Hz\tRUNNING","stderr":"","interrupted":false,"isImage":false,"noOutputExpected":false},"sourceToolAssistantUUID":"68b49824-95a0-4f60-bea7-4f9e16daccca"}
  {"parentUuid":"e5bdd680-3690-40fe-984d-2060531ca6f1","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","message":{"model":"claude-sonnet-4-6","id":"msg_012qaKWx2gmfazcqyq3BosYX","type":"message","role":"assistant","content":[{"type":"text","text":"there's your problem. your default sink is set to HDMI output (`pci-0000_01_00.1.hdmi-stereo`) but you probably want the USB audio codec (the BurrBrown DAC/interface). the HDMI sink is `RUNNING` but the USB one is `SUSPENDED`.\n\nswitch the default sink:\n\n```bash\npactl set-default-sink alsa_output.usb-BurrBrown_from_Texas_Instruments_USB_AUDIO_CODEC-00.analog-stereo\n```\n\nif that doesn't do it, you can also move all currently playing streams over:\n\n```bash\npactl move-sink-input $(pactl list short sink-inputs | awk '{print $1}') alsa_output.usb-BurrBrown_from_Texas_Instruments_USB_AUDIO_CODEC-00.analog-stereo\n```\n\ndoes anything happen to be connected to HDMI that'd be eating the audio?"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":1,"cache_creation_input_tokens":497,"cache_read_input_tokens":35138,"output_tokens":228,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":497,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYW3T9EzQrNyT15Xq8eNR","type":"assistant","uuid":"f6ef1ec2-e44b-46ed-93ce-2760376c1560","timestamp":"2026-02-26T04:23:39.181Z"}
  {"parentUuid":"f6ef1ec2-e44b-46ed-93ce-2760376c1560","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","type":"progress","data":{"type":"hook_progress","hookEvent":"Stop","hookName":"Stop","command":"${CLAUDE_PLUGIN_ROOT}/hooks/stop-hook.sh"},"parentToolUseID":"f71f302f-aab8-4de3-b791-2cd4ac79c614","toolUseID":"f71f302f-aab8-4de3-b791-2cd4ac79c614","timestamp":"2026-02-26T04:23:39.208Z","uuid":"5c07096d-21ec-4ccc-99a0-3fce83192e79"}
  {"parentUuid":"5c07096d-21ec-4ccc-99a0-3fce83192e79","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","type":"system","subtype":"stop_hook_summary","hookCount":1,"hookInfos":[{"command":"${CLAUDE_PLUGIN_ROOT}/hooks/stop-hook.sh","durationMs":4}],"hookErrors":[],"preventedContinuation":false,"stopReason":"","hasOutput":false,"level":"suggestion","timestamp":"2026-02-26T04:23:39.212Z","uuid":"91dbb9f8-45a6-4241-8e54-4914e59c2c60","toolUseID":"f71f302f-aab8-4de3-b791-2cd4ac79c614"}
  {"type":"file-history-snapshot","messageId":"5126ff6d-20ed-4840-94eb-add8705ae021","snapshot":{"messageId":"5126ff6d-20ed-4840-94eb-add8705ae021","trackedFileBackups":{},"timestamp":"2026-02-26T04:32:10.440Z"},"isSnapshotUpdate":false}
  {"parentUuid":"91dbb9f8-45a6-4241-8e54-4914e59c2c60","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","type":"user","message":{"role":"user","content":"the hdmi output is the correct one"},"uuid":"5126ff6d-20ed-4840-94eb-add8705ae021","timestamp":"2026-02-26T04:32:10.311Z","todos":[],"permissionMode":"plan"}
  {"parentUuid":"5126ff6d-20ed-4840-94eb-add8705ae021","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"f75df3fb-0d48-40c0-900e-1342742a36ad","version":"2.1.59","gitBranch":"main","slug":"adaptive-rolling-wilkinson","message":{"model":"claude-sonnet-4-6","id":"msg_015dyhv2SbHP5uN9RFxBPHZT","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"So the HDMI sink is correct and RUNNING. Let me think about what else could cause no audio playback. Let me check volume levels, mute status, and if there are any sink inputs.","signature":"EtgCCkYICxgCKkDByMTQ+21mFCLWKv30sWcxdDD5ITsNFolgoAiBr2uQWCatNdv7W187/aGFrZDwRielkXhzM4zkrRZsD8UHEhwcEgz3ggp/b81K04xHROcaDBpOr1JYmg2x4tWcyiIwWnFN8t4MS431JST8Ah3SKwolmg0zO4oWV3Ij9hq3RL/DGfWFtWv/hL32avrnJYrPKr8BMyIwrhmpeKxjINqEbfIVL84rtptjQiYHdt6hVA1B8Z143u0K6B5ozGYN
  [truncated]


id: 0d6332da-38bd-45f6-9cfb-7e629c108846
session_key: 5c71a30b-1c3a-427d-b948-8ba1c5f0bb80
harness: claude-code
project: /home/nicholai/openmarketui
status: completed
result: ok
created_at: 2026-02-26T09:16:32.385Z
completed_at: 2026-02-26T09:17:13.564Z
transcript:
  {"type":"file-history-snapshot","messageId":"ff9052a0-60d1-4f14-8ac0-31bd02186216","snapshot":{"messageId":"ff9052a0-60d1-4f14-8ac0-31bd02186216","trackedFileBackups":{},"timestamp":"2026-02-26T08:55:43.129Z"},"isSnapshotUpdate":false}
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5c71a30b-1c3a-427d-b948-8ba1c5f0bb80","version":"2.1.59","gitBranch":"main","slug":"noble-tinkering-moonbeam","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"0a27800a-ede4-40e0-bf1c-94e1c2b8e246","toolUseID":"0a27800a-ede4-40e0-bf1c-94e1c2b8e246","timestamp":"2026-02-26T08:55:42.360Z","uuid":"2ec09621-1a25-4868-a89d-c47a6ecd928a"}
  {"parentUuid":"2ec09621-1a25-4868-a89d-c47a6ecd928a","isSidechain":false,"userType":"external","cwd":"/home/nicholai/openmarketui","sessionId":"5c71a30b-1c3a-427d-b948-8ba1c5f0bb80","version":"2.1.59","gitBranch":"main","slug":"noble-tinkering-moonbeam","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Overview Tab Session Controls\n\n## Context\n\nAll session control (start/stop backtest/paper, configure, select presets) is buried behind the Ctrl+P command menu modal flow. The overview tab is read-only — just a strategies table. The user wants to start, stop, pause/resume, control speed, and configure sessions directly from the overview tab without opening modals.\n\n## Approach\n\nAdd a **session control strip** as a left-side panel in the overview tab, creating a two-column layout. The strategies table stays on the right. All interactions are keyboard-driven with overview-tab-specific keybindings. Backtest progress renders inline on the overview tab instead of as a full-screen overlay.\n\n## Layout\n\n```\n[compact stats row: scorer counts, equity, drawdown]\n+-- session (width: 38) --------+-- strategies (flexGrow: 1) ----+\n| PAPER ● running               | ● name          group  wt     |\n| preset: conservative ($10k)   | ● momentum      mom    0.15   |\n| engine: Running  ticks: 142   | ● mtf_momentum  mom    0.10   |\n|                                | ○ time_decay    mom    0.10   |\n| [b] backtest  [p] paper       | ● mean_rev      mr     0.15   |\n| [x] stop  [space] pause       | ...                           |\n| [</>] preset  [c] config      |                               |\n|                                |                               |\n| (backtest only, when running:) |                               |\n| [███████░░░] 58% scanning...  |                               |\n| elapsed: 1m 23s               |                               |\n| speed: 1h  [+/-] adjust       |                               |\n+--------------------------------+-------------------------------+\n```\n\n## Keybindings (overview tab only)\n\n| Key | Action | When |\n|-----|--------|------|\n| `b` | Start backtest with active config | idle |\n| `p` | Start paper trading | idle |\n| `x` | Stop current session | running/paused |\n| `space` | Pause/resume engine | running |\n| `,` / `.` | Cycle prev/next preset | idle (not while running) |\n| `c` | Open config editor (existing modal flow) | any time |\n| `+`/`=` | Increase backtest interval (+1h) | backtest running |\n| `-`/`_` | Decrease backtest interval (-1h, min 1) | backtest running |\n\nNo conflicts — `p` is pause on engine tab only, `+/-` is weights on engine tab only, all tab-gated.\n\n## Files to Change\n\n### 1. New: `watchtower/src/components/tabs/SessionControlStrip.tsx`\n\nPresentational component (~120 lines). Reads from `useModeStore` and `useGardenStore`, renders:\n- Mode badge (IDLE/PAPER/BACKTEST/LIVE) with color\n- Active preset name + capital\n- Engine status line (state, ticks, uptime)\n- Contextual keybinding hints\n- Inline backtest progress (conditional): progress bar, phase, elapsed, speed control hint\n- Inline backtest results (conditional): return%, sharpe, drawdown, win rate, trades\n- Inline error display (conditional)\n\nUses existing `Panel` shared component for the border.\n\n### 2. Modify: `watchtower/src/components/tabs/GardenOverview.tsx`\n\n- Import `SessionControlStrip`\n- Change body from single-column to two-column row layout\n- Session strip: `width: 38`, strategies panel: `flexGrow: 1`\n- Stats row stays above both columns unchanged\n\n### 3. Modify: `watchtower/src/hooks/useModeStore.ts`\n\nAdd two new actions to the store:\n\n**`cyclePreset(delta: number)`** — wraps around preset list, only when not running:\n```ts\ncyclePreset: (delta) => {\n  const { configPresets, selectedPresetIndex, sessionStatus } = get();\n  if (configPresets.length === 0 || sessionStatus === \"running\") return;\n  const newIndex = (selectedPresetIndex + delta + configPresets.length) % configPresets.length;\n  set({ selectedPresetIndex: newIndex, activeConfig: configPresets[newIndex] });\n},\n```\n\n**`adjustBacktestSpeed(delta: number)`** — adjusts `backtestIntervalHours` on activeConfig, clamped 1-24:\n```ts\nadjustBacktestSpeed: (delta) => {\n  const { activeConfig } = get();\n  if (!activeConfig) return;\n  const current = activeConfig.backtestIntervalHours ?? 1;\n  const next = Math.max(1, Math.min(24, current + delta));\n  set({ activeConfig: { ...activeConfig, backtestIntervalHours: next } });\n},\n```\n\n### 4. Modify: `watchtower/src/hooks/useKeyboardNav.ts`\n\nAdd ~35 lines of overview-tab keybindings in the main `useKeyboard` callback, gated on `activeTab === \"overview\" && menuScreen === \"closed\"`. Place after the existing tab-switching block but before the global navigation block. Keys: b, p, x, space, comma, period, c, +/-, as specified above.\n\n### 5. Modify: `watchtower/src/app.tsx`\n\nSuppress the full-screen backtest overlay when on overview tab (inline display takes over):\n```tsx\n{activeTab !== \"overview\" && (backtestProgress.status === \"running\" || ...) && (\n  // existing overlay unchanged\n)}\n```\n\nPass `engineStatus` to `GardenOverview` (already available in scope).\n\n### 6. Modify: `watchtower/src/components/tabs/index.ts`\n\nExport `SessionControlStrip`.\n\n### 7. Extract: `watchtower/src/utils/format.ts`\n\nMove `formatDuration` and `renderProgressBar` from `BacktestProgress.tsx` into a shared util. Update imports in both `BacktestProgress.tsx` and the new `SessionControlStrip.tsx`.\n\n## What Stays The Same\n\n- Ctrl+P command menu flow works as before for deep config (date ranges, fees, new presets)\n- Full-screen backtest overlay still shows on non-overview tabs\n- All existing keybindings on other tabs untouched\n- Strategies table content and rendering unchanged\n- Server API — no backend changes needed\n\n## Verification\n\n1. `bun run typecheck` — confirm no type errors\n2. `bun run watchtower` — launch TUI, verify:\n   - Overview tab shows two-column layout with session strip on left\n   - Press `b` to start backtest (needs server running or will show error)\n   - Press `p` to start paper trading\n   - Press `x` to stop\n   - Press `space` to pause/resume\n   - Press `,`/`.` to cycle presets (visible in strip)\n   - Press `c` to open config editor modal\n   - Switch to another tab, verify backtest overlay still works there\n   - Verify no keybinding conflicts on engine/data tabs\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/nicholai/.claude/projects/-home-nicholai-openmarketui/dc7752df-fee9-40b9-9e58-4c08c2bf02c6.jsonl\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work."},"uuid":"ff9052a0-60d1-4f14-8ac0-31bd02186216","timestamp":"2026-02-26T08:55:42.141Z","planContent":"# Overview Tab Session Controls\n\n## Context\n\nAll session control (start/stop backtest/paper, configure, select presets) is buried behind the Ctrl+P command menu modal flow. The overview tab is read-only — just a strategies table. The user wants to start, stop, pause/resume, control speed, and configure sessions directly from the overview tab without opening modals.\n\n## Approach\n\nAdd a **session control strip** as a left-side panel in the overview tab, creating a two-column layout. The strategies table stays on the right. All interactions are keyboard-driven with overview-tab-specific keybindings. Backtest progress renders inline on the overview tab instead of as a full-screen overlay.\n\n## Layout\n\n```\n[compact stats row: scorer counts, equity, drawdown]\n+-- session (width: 38) --------+-- strategies (flexGrow: 1) ----+\n| PAPER ● running               | ● name          group  wt     |\n| preset: conservative ($10k)   | ● momentum      mom    0.15   |\n| engine: Running  ticks: 142   | ● mtf_momentum  mom    0.10   |\n|                                | ○ time_decay    mom    0.10   |\n| [b] backtest  [p] paper       | ● mean_rev      mr     0.15   |\n| [x] stop  [space] pause       | ...                           |\n| [</>] preset  [c] config      |                               |\n|                                |                               |\n| (backtest only, when running:) |                               |\n| [███████░░░] 58% scanning...  |                               |\n| elapsed: 1m 23s               |                               |\n| speed: 1h  [+/-] adjust       |                               |\n+--------------------------------+-------------------------------+\n```\n\n## Keybindings (overview tab only)\n\n| Key | Action | When |\n|-----|--------|------|\n| `b` | Start backtest with active config | idle |\n| `p` | Start paper trading | idle |\n| `x` | Stop current session | running/paused |\n| `space` | Pause/resume engine | running |\n| `,` / `.` | Cycle prev/next preset | idle (not while running) |\n| `c` | Open config editor (existing modal flow) | any time |\n| `+`/`=` | Increase backtest interval (+1h) | backtest running |\n| `-`/`_` | Decrease backtest interval (-1h, min 1) | backtest running |\n\nNo conflicts — `p` is pause on engine tab only, `+/-` is weights on engine tab only, all tab-gated.\n\n## Files to Change\n\n### 1. New: `watchtower/src/components/tabs/SessionControlStrip.tsx`\n\nPresentational component (~120 lines). Reads from `useModeStore` and `useGardenStore`, renders:\n- Mode badge (IDLE/PAPER/BACKTEST/LIVE) with color\n- Active preset name + capital\n- Engine status line (state, ticks, uptime)\n- Contextual keybinding hints\n- Inline backtest progress (conditional): progress bar, phase, elapsed, speed control hint\n- Inline backtest results (conditional): return%, sharpe, drawdown, win rate, trades\n- Inline error display (conditional)\n\nUses existing `Panel` shared component for the border.\n\n### 2. Modify: `watchtower/src/components/tabs/GardenOverview.tsx`\n\n- Import `SessionControlStrip`\n- Change body from single-column to two-column row layout\n- Session strip: `width: 38`, strategies panel: `flexGrow: 1`\n- Stats row stays above both columns unchanged\n\n### 3. Modify: `watchtower/src/hooks/useModeStore.ts`\n\nAdd two new actions to the store:\n\n**`cyclePreset(delta: number)`** — wraps around preset list, only when not running:\n```ts\ncyclePreset: (delta) => {\n  const { configPresets, selectedPresetIndex, sessionStatus } = get();\n  if (configPresets.length === 0 || sessionStatus === \"running\") return;\n  const newIndex = (selectedPresetIndex + delta + configPresets.length) % configPresets.length;\n  set({ selectedPresetIndex: newIndex, activeConfig: configPresets[newIndex] });\n},\n```\n\n**`adjustBacktestSpeed(delta: number)`** — adjusts `backtestIntervalHours` on activeConfig, clamped 1-24:\n```ts\nadjustBacktestSpeed: (delta) => {\n  const { activeConfig } = get();\n  if (!activeConfig) return;\n  const current = activeConfig.backtestIntervalHours ?? 1;\n  const next = M
  [truncated]


id: f15577b6-9d79-465b-a0f9-6c081ec59049
session_key: ff09799b-a7e3-4e89-8942-5dc5f3cb10ae
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-27T03:35:51.050Z
completed_at: 2026-02-27T03:36:27.608Z
transcript:
  {"type":"file-history-snapshot","messageId":"fa979ce3-793b-4a76-808e-d691d80f6034","snapshot":{"messageId":"fa979ce3-793b-4a76-808e-d691d80f6034","trackedFileBackups":{},"timestamp":"2026-02-26T09:22:56.872Z"},"isSnapshotUpdate":false}
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"ff09799b-a7e3-4e89-8942-5dc5f3cb10ae","version":"2.1.59","gitBranch":"main","slug":"agile-wondering-rabin","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"56f59189-759f-4bc1-9767-32dfd5825cbb","toolUseID":"56f59189-759f-4bc1-9767-32dfd5825cbb","timestamp":"2026-02-26T09:22:56.075Z","uuid":"e212c5e0-e1e5-433c-95fa-be9aabf3a84c"}
  {"parentUuid":"e212c5e0-e1e5-433c-95fa-be9aabf3a84c","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"ff09799b-a7e3-4e89-8942-5dc5f3cb10ae","version":"2.1.59","gitBranch":"main","slug":"agile-wondering-rabin","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Enable npm installation of signetai\n\n## Context\n\nUsers want to install signetai via `npm install -g signetai` or `npx signetai`. The codebase is already 90% there — the CLI entry point uses `#!/usr/bin/env node`, the CLI bundle targets node, there's runtime detection for bun-only commands, and the README already lists npm as an install method. The main gap is the postinstall script uses ESM which can be flaky under some npm environments.\n\n## Changes\n\n### 1. Convert postinstall to CommonJS for bulletproof npm compatibility\n**File:** `packages/signetai/bin/postinstall.js` -> rename to `postinstall.cjs`\n\n- Replace `import { execSync } from \"node:child_process\"` with `const { execSync } = require(\"node:child_process\")`\n- Keep the same logic and messaging\n- This avoids ESM resolution issues in older npm versions or edge-case environments\n\n### 2. Update package.json postinstall reference\n**File:** `packages/signetai/package.json`\n\n- Change `\"postinstall\": \"node ./bin/postinstall.js || true\"` to `\"postinstall\": \"node ./bin/postinstall.cjs || true\"`\n\n### 3. Improve postinstall messaging clarity\n**File:** `packages/signetai/bin/postinstall.cjs`\n\nWhen bun is not found, make the message clearer about what works and what doesn't:\n- CLI commands (setup, config, status, recall, etc.) work fine with just node\n- Daemon start requires bun (for bun:sqlite)\n- Provide install command for bun\n\n### 4. Update README requirements section\n**File:** `packages/signetai/README.md`\n\nMinor tweak to the requirements section to be more explicit:\n- Node.js 18+ for CLI\n- Bun 1.0+ required for daemon (`signet start`)\n- Add npx usage example\n\n## Files to modify\n\n1. `packages/signetai/bin/postinstall.js` -> delete, create `postinstall.cjs` (CJS conversion)\n2. `packages/signetai/package.json` -> update postinstall script path\n3. `packages/signetai/README.md` -> minor requirements clarity\n\n## Verification\n\n1. `cd packages/signetai && npm pack` — verify tarball contains all expected files\n2. Install from tarball: `npm install -g ./signetai-*.tgz`\n3. Verify postinstall message appears with bun warning (or success if bun is present)\n4. Run `signet --help` — should work under node\n5. Run `signet status` — should work (HTTP query, no bun needed)\n6. Run `signet start` — should either start daemon (bun present) or show clear error (bun missing)\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/nicholai/.claude/projects/-home-nicholai-signet-signetai/05d0f910-0faa-40f9-ad25-190d5156b124.jsonl\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work."},"uuid":"fa979ce3-793b-4a76-808e-d691d80f6034","timestamp":"2026-02-26T09:22:55.872Z","planContent":"# Plan: Enable npm installation of signetai\n\n## Context\n\nUsers want to install signetai via `npm install -g signetai` or `npx signetai`. The codebase is already 90% there — the CLI entry point uses `#!/usr/bin/env node`, the CLI bundle targets node, there's runtime detection for bun-only commands, and the README already lists npm as an install method. The main gap is the postinstall script uses ESM which can be flaky under some npm environments.\n\n## Changes\n\n### 1. Convert postinstall to CommonJS for bulletproof npm compatibility\n**File:** `packages/signetai/bin/postinstall.js` -> rename to `postinstall.cjs`\n\n- Replace `import { execSync } from \"node:child_process\"` with `const { execSync } = require(\"node:child_process\")`\n- Keep the same logic and messaging\n- This avoids ESM resolution issues in older npm versions or edge-case environments\n\n### 2. Update package.json postinstall reference\n**File:** `packages/signetai/package.json`\n\n- Change `\"postinstall\": \"node ./bin/postinstall.js || true\"` to `\"postinstall\": \"node ./bin/postinstall.cjs || true\"`\n\n### 3. Improve postinstall messaging clarity\n**File:** `packages/signetai/bin/postinstall.cjs`\n\nWhen bun is not found, make the message clearer about what works and what doesn't:\n- CLI commands (setup, config, status, recall, etc.) work fine with just node\n- Daemon start requires bun (for bun:sqlite)\n- Provide install command for bun\n\n### 4. Update README requirements section\n**File:** `packages/signetai/README.md`\n\nMinor tweak to the requirements section to be more explicit:\n- Node.js 18+ for CLI\n- Bun 1.0+ required for daemon (`signet start`)\n- Add npx usage example\n\n## Files to modify\n\n1. `packages/signetai/bin/postinstall.js` -> delete, create `postinstall.cjs` (CJS conversion)\n2. `packages/signetai/package.json` -> update postinstall script path\n3. `packages/signetai/README.md` -> minor requirements clarity\n\n## Verification\n\n1. `cd packages/signetai && npm pack` — verify tarball contains all expected files\n2. Install from tarball: `npm install -g ./signetai-*.tgz`\n3. Verify postinstall message appears with bun warning (or success if bun is present)\n4. Run `signet --help` — should work under node\n5. Run `signet status` — should work (HTTP query, no bun needed)\n6. Run `signet start` — should either start daemon (bun present) or show clear error (bun missing)\n"}
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  {"parentUuid":"a7b53a05-0d34-4697-9c88-5cbc304945dc","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"ff09799b-a7e3-4e89-8942-5dc5f3cb10ae","version":"2.1.59","gitBranch":"main","slug":"agile-wondering-rabin","message":{"model":"claude-opus-4-6","id":"msg_01VVHqcKVhaudUQgEacEDpvL","type":"message","role":"assistant","content":[{"type":"text","text":"let me read the files we need to modify."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":16632,"cache_read_input_tokens":14566,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16632},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWSHGyV3kkayYN7UEeHV","type":"assistant","uuid":"27b43963-1721-47c6-95ed-ed5516e1b782","timestamp":"2026-02-26T09:23:00.212Z"}
  {"parentUuid":"27b43963-1721-47c6-95ed-ed5516e1b782","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"ff09799b-a7e3-4e89-8942-5dc5f3cb10ae","version":"2.1.59","gitBranch":"main","slug":"agile-wondering-rabin","message":{"model":"claude-opus-4-6","id":"msg_01VVHqcKVhaudUQgEacEDpvL","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01PtFZcXxdqmt2biRDbbNaKx","name":"Read","input":{"file_path":"/home/nicholai/signet/signetai/packages/signetai/bin/postinstall.js"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":16632,"cache_read_input_tokens":14566,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":16632},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYWSHGyV3kkayYN7UEeHV","type":"assistant","uuid":"c1959d58-d801-44a3-9bf9-fe11b91d4b14","timestamp":"2026-02-26T09:23:00.786Z"}
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  {"parentUuid":"c1959d58-d801-44a3-9bf9-fe11b91d4b14","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"ff09799b-a7e3-4e89-8942-5dc5f3cb10ae","version":"2.1.59","gitBranch":"main","slug":"agile-wondering-rabin","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01PtFZcXxdqmt2biRDbbNaKx","type":"tool_result","content":"     1→#!/usr/bin/env node\n     2→/**\n     3→ * Signet postinstall script\n     4→ * Shows installation info and checks for Bun\n     5→ */\n     6→\n     7→import { execSync } from \"node:child_process\";\n     8→\n     9→const RESET = \"\\x1b[0m\";\n    10→const CYAN = \"\\x1b[36m\";\n    11→const GREEN = \"\\x1b[32m\";\n    12→const YELLOW = \"\\x1b[33m\";\n    13→const DIM = \"\\x1b[2m\";\n    14→const BOLD = \"\\x1b[1m\";\n    15→\n    16→function hasBun() {\n    17→\ttry {\n    18→\t\texecSync(\"bun --version\", { stdio: \"pipe\" });\n    19→\t\treturn true;\n    20→\t} catch {\n    21→\t\treturn false;\n    22→\t}\n    23→}\n    24→\n    25→console.log();\n    26→console.log(\"━\".repeat(50));\n    27→console.log();\n    28→console.log(`  ${CYAN}${BOLD}◈ Signet${RESET} installed!`);\n    29→console.log(`  ${DIM}Portable AI agent identity${RESET}`);\n    30→console.log();\n    31→\n    32→if (!hasBun()) {\n    33→\tconsole.log(`  ${YELLOW}⚠ Bun not found${RESET} (required for daemon)`);\n    34→\tconsole.log(\n    35→\t\t`  ${DIM}Install: curl -fsSL https://bun.sh/install | bash${RESET}`,\n    36→\t);\n    37→\tconsole.log();\n    38→}\n    39→\n    40→console.log(`  ${GREEN}Get started:${RESET}`);\n    41→console.log(`    ${CYAN}signet${RESET}        Interactive setup`);\n    42→console.log(`    ${CYAN}signet sync${RESET}   Fix missing files`);\n    43→console.lo
  [truncated]


id: eb9ee07d-fb12-4240-a989-378e642049ef
session_key: 2db4bf41-840a-4391-9011-7b8d8969f3ac
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-27T05:36:49.275Z
completed_at: 2026-02-27T05:37:34.194Z
transcript:
  {"type":"file-history-snapshot","messageId":"eda32d72-fee2-440f-9fdd-79c3c926b102","snapshot":{"messageId":"eda32d72-fee2-440f-9fdd-79c3c926b102","trackedFileBackups":{},"timestamp":"2026-02-27T05:05:41.284Z"},"isSnapshotUpdate":false}
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2db4bf41-840a-4391-9011-7b8d8969f3ac","version":"2.1.62","gitBranch":"main","slug":"wondrous-juggling-thacker","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"29af992e-042d-4150-908a-59e93b1220ae","toolUseID":"29af992e-042d-4150-908a-59e93b1220ae","timestamp":"2026-02-27T05:05:40.733Z","uuid":"8fe2c075-a3be-45c2-b57c-8c3b7853d5f0"}
  {"parentUuid":"8fe2c075-a3be-45c2-b57c-8c3b7853d5f0","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2db4bf41-840a-4391-9011-7b8d8969f3ac","version":"2.1.62","gitBranch":"main","slug":"wondrous-juggling-thacker","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Fix: OpenClaw temp workspace path leaking into config\n\n## Context\n\nmrclaude (the OpenClaw bot on buba's mac mini) booted with its workspace\npointing at `/tmp/signet-openclaw-test-58culC/agents` instead of `~/.agents/`.\nThe config key `agents.defaults.workspace` had been set to a temp test path,\ncausing the agent to start with empty identity files and no persistent memory.\n\nThe user manually patched it via `openclaw doctor`, but we need to prevent\nthis from happening again.\n\n## Root Cause\n\nTwo issues identified:\n\n### 1. Test cleanup doesn't properly unset env vars\n\n`packages/connector-openclaw/test/index.test.ts` lines 18-23:\n\n```typescript\nif (previousConfigPath === undefined) {\n    process.env.OPENCLAW_CONFIG_PATH = undefined;  // BUG\n}\n```\n\nAssigning `undefined` to a `process.env` key converts it to the string\n`\"undefined\"` in Node.js, or leaves it in an ambiguous state in Bun. The\ncorrect approach is `delete process.env.OPENCLAW_CONFIG_PATH`. Same issue\nexists for `HOME` on line 26.\n\nThis is a latent bug - it wouldn't directly cause the production issue on\nthe mac mini, but it's wrong and could cause confusing test failures if\ntests run in a shared process.\n\n### 2. No workspace path validation at startup\n\nThe real production problem: something (likely running `signet setup` or\n`bun test` in the signetai directory on the mac mini) wrote a temp path\ninto the openclaw config's `agents.defaults.workspace`. Once written,\nOpenClaw dutifully uses it until someone notices.\n\nThere's no guard anywhere in the startup flow that validates the workspace\npath is:\n- Not under `/tmp/`\n- Actually exists on disk\n- Contains the expected identity files\n\n## Changes\n\n### Fix 1: Test env cleanup (packages/connector-openclaw/test/index.test.ts)\n\nReplace `= undefined` with `delete` for both env vars:\n\n```typescript\nafterEach(() => {\n    if (previousConfigPath === undefined) {\n        delete process.env.OPENCLAW_CONFIG_PATH;\n    } else {\n        process.env.OPENCLAW_CONFIG_PATH = previousConfigPath;\n    }\n\n    if (previousHome === undefined) {\n        delete process.env.HOME;\n    } else {\n        process.env.HOME = previousHome;\n    }\n    // ...\n});\n```\n\n**File:** `packages/connector-openclaw/test/index.test.ts` lines 18-29\n\n### Fix 2: Workspace path validation in configureWorkspace()\n\nAdd a guard in `OpenClawConnector.configureWorkspace()` and `install()`\nthat rejects temp paths:\n\n```typescript\nprivate validateWorkspacePath(p: string): void {\n    const resolved = resolve(this.expandPath(p));\n    if (resolved.startsWith(tmpdir()) || resolved.startsWith(\"/tmp/\")) {\n        throw new Error(\n            `Refusing to set workspace to temp directory: ${resolved}`\n        );\n    }\n}\n```\n\nCall this before writing to config in both `install()` (when\n`configureWorkspace` is true) and `configureWorkspace()`.\n\nUpdate tests to use `{ configureWorkspace: false }` where they\nintentionally use temp paths (test 1 already does this), and adjust test 2\nto verify the validation fires.\n\n**File:** `packages/connector-openclaw/src/index.ts`\n- Add `validateWorkspacePath()` private method\n- Call in `install()` around line 281\n- Call in `configureWorkspace()` around line 353\n\n### Fix 3: Add a test for the temp path guard\n\nAdd a new test case that verifies `configureWorkspace()` throws when\ngiven a `/tmp/` path:\n\n```typescript\nit(\"rejects temp directory as workspace\", async () => {\n    const connector = new OpenClawConnector();\n    expect(() => connector.configureWorkspace(tmpRoot)).toThrow(/temp directory/);\n});\n```\n\n**File:** `packages/connector-openclaw/test/index.test.ts`\n\n## Files to modify\n\n1. `packages/connector-openclaw/test/index.test.ts` - env cleanup fix + new test\n2. `packages/connector-openclaw/src/index.ts` - workspace validation guard\n\n## Verification\n\n1. `bun test packages/connector-openclaw/` - all tests pass\n2. `bun run typecheck` - no type errors\n3. `bun run lint` - clean\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/nicholai/.claude/projects/-home-nicholai-signet-signetai/9318b36b-219e-4604-bf50-24ca2187c623.jsonl\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work."},"uuid":"eda32d72-fee2-440f-9fdd-79c3c926b102","timestamp":"2026-02-27T05:05:40.568Z","planContent":"# Fix: OpenClaw temp workspace path leaking into config\n\n## Context\n\nmrclaude (the OpenClaw bot on buba's mac mini) booted with its workspace\npointing at `/tmp/signet-openclaw-test-58culC/agents` instead of `~/.agents/`.\nThe config key `agents.defaults.workspace` had been set to a temp test path,\ncausing the agent to start with empty identity files and no persistent memory.\n\nThe user manually patched it via `openclaw doctor`, but we need to prevent\nthis from happening again.\n\n## Root Cause\n\nTwo issues identified:\n\n### 1. Test cleanup doesn't properly unset env vars\n\n`packages/connector-openclaw/test/index.test.ts` lines 18-23:\n\n```typescript\nif (previousConfigPath === undefined) {\n    process.env.OPENCLAW_CONFIG_PATH = undefined;  // BUG\n}\n```\n\nAssigning `undefined` to a `process.env` key converts it to the string\n`\"undefined\"` in Node.js, or leaves it in an ambiguous state in Bun. The\ncorrect approach is `delete process.env.OPENCLAW_CONFIG_PATH`. Same issue\nexists for `HOME` on line 26.\n\nThis is a latent bug - it wouldn't directly cause the production issue on\nthe mac mini, but it's wrong and could cause confusing test failures if\ntests run in a shared process.\n\n### 2. No workspace path validation at startup\n\nThe real production problem: something (likely running `signet setup` or\n`bun test` in the signetai directory on the mac mini) wrote a temp path\ninto the openclaw config's `agents.defaults.workspace`. Once written,\nOpenClaw dutifully uses it until someone notices.\n\nThere's no guard anywhere in the startup flow that validates the workspace\npath is:\n- Not under `/tmp/`\n- Actually exists on disk\n- Contains the expected identity files\n\n## Changes\n\n### Fix 1: Test env cleanup (packages/connector-openclaw/test/index.test.ts)\n\nReplace `= undefined` with `delete` for both env vars:\n\n```typescript\nafterEach(() => {\n    if (previousConfigPath === undefined) {\n        delete process.env.OPENCLAW_CONFIG_PATH;\n    } else {\n        process.env.OPENCLAW_CONFIG_PATH = previousConfigPath;\n    }\n\n    if (previousHome === undefined) {\n        delete process.env.HOME;\n    } else {\n        process.env.HOME = previousHome;\n    }\n    // ...\n});\n```\n\n**File:** `packages/connector-openclaw/test/index.test.ts` lines 18-29\n\n### Fix 2: Workspace path validation in configureWorkspace()\n\nAdd a guard in `OpenClawConnector.configureWorkspace()` and `install()`\nthat rejects temp paths:\n\n```typescript\nprivate validateWorkspacePath(p: string): void {\n    const resolved = resolve(this.expandPath(p));\n    if (resolved.startsWith(tmpdir()) || resolved.startsWith(\"/tmp/\")) {\n        throw new Error(\n            `Refusing to set workspace to temp directory: ${resolved}`\n        );\n    }\n}\n```\n\nCall this before writing to config in both `install()` (when\n`configureWorkspace` is true) and `configureWorkspace()`.\n\nUpdate tests to use `{ configureWorkspace: false }` where they\nintentionally use temp paths (test 1 already does this), and adjust test 2\nto verify the validation fires.\n\n**File:** `packages/connector-openclaw/src/index.ts`\n- Add `validateWorkspacePath()` private method\n- Call in `install()` around line 281\n- Call in `configureWorkspace()` around line 353\n\n### Fix 3: Add a test for the temp path guard\n\nAdd a new test case that verifies `configureWorkspace()` throws when\ngiven a `/tmp/` path:\n\n```typescript\nit(\"rejects temp directory as workspace\", async () => {\n    const connector = new OpenClawConnector();\n    expect(() => connector.configureWorkspace(tmpRoot)).toThrow(/temp directory/);\n});\n```\n\n**File:** `packages/connector-openclaw/test/index.test.ts`\n\n## Files to modify\n\n1. `packages/connector-openclaw/test/index.test.ts` - env cleanup fix + new test\n2. `packages/connector-openclaw/src/index.ts` - workspace validation guard\n\n## Verification\n\n1. `bun test packages/connector-openclaw/` - all tests pass\n2. `bun run typecheck` - no type errors\n3. `bun run lint` - clean\n"}
  {"parentUuid":"eda32d72-fee2-440f-9fdd-79c3c926b102","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2db4bf41-840a-4391-9011-7b8d8969f3ac","version":"2.1.62","gitBranch":"main","slug":"wondrous-juggling-thacker","message":{"model":"claude-opus-4-6","id":"msg_01LVwGAv3ZG9EBENwdnuoPuc","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me read the two files I need to modify to understand the current code before making changes.","signature":"EogCCkYICxgCKkBxZKlkXwx4LixmHu4+mV77eaqp2lkOWKbszipA1bCMlzQcni+PdEbErHyKfDYdTqqmkyhO2jA1g5Fp+1cvG1E2Egxq5wslIb8mm/6Xd7IaDInC/6T1wKo1CgU1ZiIwnAivb8ZpFF5GfWe1xrOv51hddrfh6aI3IdMrXHmmTf68c7p8Vn3lYfWrYGBrr9mEKnAx97sLrFqWQbsuf9+tboefJRTuJgW9YU9KKRIMME2+8W4gjuxYnw2z6pf6W/rdpCEEfgFcxm/L7aobJlObN+shMUonS5gRqLWOb383oEJq4nsKA2mHOjeHD9+QU8AGkonQILU0xh6tphVriPOZ8z+DGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":21241,"cache_read_input_tokens":39304,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":21241},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYXzUMri48b5hTFJ6UBNr","type":"assistant","uuid":"ae6b9f49-8a07-4e5c-a081-7920deb74881","timestamp":"2026-02-27T05:05:44.098Z"}
  {"parentUuid":"ae6b9f49-8a07-4e5c-a081-7920deb74881","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"2db4bf41-840a-4391-9011-7b8d8969f3ac","version":"2.1.62","gitBranch":"main","slug":"wondrous-juggling-thacker","message":{"model":"claude-opus-4-6","id":"msg_01LVwGAv3ZG9EBENwdnuoPuc","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01ByfMMNu8iUWhnWWPYhy4BE","name":"Read","input":{"file_path":"/home/nicholai/signet/signetai/packages/connector-openclaw/test/index.test.ts"},"caller":{"type":"direct"}}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":21241,"cache_read_input_tokens":39304,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":21241},"output_tokens":3,"service_tier":"standard","inference_geo":"not_available"}},"requ
  [truncated]


id: 1757b4ed-e26f-4278-868f-13cc91c70270
session_key: 7311d809-dbb7-4694-8efc-91c97e86a1f6
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-27T05:36:59.766Z
completed_at: 2026-02-27T05:38:18.000Z
transcript:
  {"type":"file-history-snapshot","messageId":"f2ed31a5-f211-4e54-9aab-21cde717b89f","snapshot":{"messageId":"f2ed31a5-f211-4e54-9aab-21cde717b89f","trackedFileBackups":{},"timestamp":"2026-02-27T03:42:38.826Z"},"isSnapshotUpdate":false}
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"7311d809-dbb7-4694-8efc-91c97e86a1f6","version":"2.1.62","gitBranch":"main","slug":"nifty-giggling-mango","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:clear","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"bec920e5-c537-4047-9b13-2506c934ef21","toolUseID":"bec920e5-c537-4047-9b13-2506c934ef21","timestamp":"2026-02-27T03:42:38.157Z","uuid":"bdb6744f-3da4-40c9-b94e-6ef7e670afaa"}
  {"parentUuid":"bdb6744f-3da4-40c9-b94e-6ef7e670afaa","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"7311d809-dbb7-4694-8efc-91c97e86a1f6","version":"2.1.62","gitBranch":"main","slug":"nifty-giggling-mango","type":"user","message":{"role":"user","content":"Implement the following plan:\n\n# Plan: Make Signet Secrets Usable by Agents\n\n## Context\n\nAgents are told about Signet secrets but can't actually use them. The Signet block references `signet secret get` which doesn't exist as a CLI command. Session start injects nothing about available secrets. The `POST /api/secrets/:name/exec` endpoint exists but agents don't know about it. No MCP tools exist for secrets.\n\nThe security model is correct and stays: agents never see raw values. Secrets get injected into subprocesses as env vars, output is redacted.\n\n## Changes\n\n### 1. Fix Signet block docs\n**File**: `packages/core/src/markdown.ts` — `buildSignetBlock()`\n\nReplace the Secrets section. Remove broken `signet secret get` reference. Document the actual workflow: `signet secret list` / `signet secret has` for discovery, `secret_exec` MCP tool for usage.\n\n### 2. Add `secret_exec` and `secret_list` MCP tools\n**File**: `packages/daemon/src/mcp/tools.ts`\n\n- `secret_list` — returns available secret names (calls `GET /api/secrets`)\n- `secret_exec` — runs a command with secrets injected as env vars (calls the exec endpoint). Takes `command` string and `secrets` map (env var name → secret name). Returns stdout/stderr/exit code with values redacted.\n\n### 3. Add general-purpose exec endpoint\n**File**: `packages/daemon/src/daemon.ts`\n\nAdd `POST /api/secrets/exec` (distinct from `/:name/exec`). Accepts `{ command, secrets }` body where `secrets` is a `Record<string, string>` map. The existing `/:name/exec` route stays for backwards compat. Must register BEFORE the parameterized route to avoid Hono treating \"exec\" as a `:name`.\n\n### 4. Surface secret names at session start\n**File**: `packages/daemon/src/hooks.ts` — `handleSessionStart()`\n\nAfter the update status block (~line 862), call `listSecrets()` and inject available secret names with usage instructions. Cheap operation — just reads key names, no decryption.\n\n### 5. Do NOT implement `signet secret get`\n\nDeliberate non-action. Exposing raw values to stdout violates the security model. The exec-with-secrets pattern is the correct abstraction.\n\n## Verification\n\n1. `bun run build` — ensure it compiles\n2. `bun test` — no regressions\n3. Manual: start daemon, store a test secret, verify:\n   - Session start hook includes \"Available Secrets\" section with the secret name\n   - `secret_list` MCP tool returns the name\n   - `secret_exec` MCP tool with `command: \"echo $MY_VAR\"` and `secrets: { \"MY_VAR\": \"TEST_KEY\" }` returns redacted output\n   - The Signet block no longer mentions `signet secret get`\n\n\nIf you need specific details from before exiting plan mode (like exact code snippets, error messages, or content you generated), read the full transcript at: /home/nicholai/.claude/projects/-home-nicholai-signet-signetai/d63ecda4-ec7e-4560-9197-430e02c941bf.jsonl\n\nIf this plan can be broken down into multiple independent tasks, consider using the TeamCreate tool to create a team and parallelize the work."},"uuid":"f2ed31a5-f211-4e54-9aab-21cde717b89f","timestamp":"2026-02-27T03:42:38.011Z","planContent":"# Plan: Make Signet Secrets Usable by Agents\n\n## Context\n\nAgents are told about Signet secrets but can't actually use them. The Signet block references `signet secret get` which doesn't exist as a CLI command. Session start injects nothing about available secrets. The `POST /api/secrets/:name/exec` endpoint exists but agents don't know about it. No MCP tools exist for secrets.\n\nThe security model is correct and stays: agents never see raw values. Secrets get injected into subprocesses as env vars, output is redacted.\n\n## Changes\n\n### 1. Fix Signet block docs\n**File**: `packages/core/src/markdown.ts` — `buildSignetBlock()`\n\nReplace the Secrets section. Remove broken `signet secret get` reference. Document the actual workflow: `signet secret list` / `signet secret has` for discovery, `secret_exec` MCP tool for usage.\n\n### 2. Add `secret_exec` and `secret_list` MCP tools\n**File**: `packages/daemon/src/mcp/tools.ts`\n\n- `secret_list` — returns available secret names (calls `GET /api/secrets`)\n- `secret_exec` — runs a command with secrets injected as env vars (calls the exec endpoint). Takes `command` string and `secrets` map (env var name → secret name). Returns stdout/stderr/exit code with values redacted.\n\n### 3. Add general-purpose exec endpoint\n**File**: `packages/daemon/src/daemon.ts`\n\nAdd `POST /api/secrets/exec` (distinct from `/:name/exec`). Accepts `{ command, secrets }` body where `secrets` is a `Record<string, string>` map. The existing `/:name/exec` route stays for backwards compat. Must register BEFORE the parameterized route to avoid Hono treating \"exec\" as a `:name`.\n\n### 4. Surface secret names at session start\n**File**: `packages/daemon/src/hooks.ts` — `handleSessionStart()`\n\nAfter the update status block (~line 862), call `listSecrets()` and inject available secret names with usage instructions. Cheap operation — just reads key names, no decryption.\n\n### 5. Do NOT implement `signet secret get`\n\nDeliberate non-action. Exposing raw values to stdout violates the security model. The exec-with-secrets pattern is the correct abstraction.\n\n## Verification\n\n1. `bun run build` — ensure it compiles\n2. `bun test` — no regressions\n3. Manual: start daemon, store a test secret, verify:\n   - Session start hook includes \"Available Secrets\" section with the secret name\n   - `secret_list` MCP tool returns the name\n   - `secret_exec` MCP tool with `command: \"echo $MY_VAR\"` and `secrets: { \"MY_VAR\": \"TEST_KEY\" }` returns redacted output\n   - The Signet block no longer mentions `signet secret get`\n"}
  {"parentUuid":"f2ed31a5-f211-4e54-9aab-21cde717b89f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"7311d809-dbb7-4694-8efc-91c97e86a1f6","version":"2.1.62","gitBranch":"main","slug":"nifty-giggling-mango","message":{"model":"claude-opus-4-6","id":"msg_0144923KJ8L24zpoaxisnKQe","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me analyze this plan. There are 4 changes to make:\n\n1. Fix Signet block docs in `packages/core/src/markdown.ts`\n2. Add MCP tools in `packages/daemon/src/mcp/tools.ts`\n3. Add general-purpose exec endpoint in `packages/daemon/src/daemon.ts`\n4. Surface secret names at session start in `packages/daemon/src/hooks.ts`\n\nThese are interdependent enough that parallelizing with a team would be overkill - changes 2 and 4 depend on understanding the existing code patterns. Let me read the relevant files first.","signature":"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"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":17382,"cache_read_input_tokens":42695,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":17382},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYXt95g8yxAvShjDAXJZ3","type":"assistant","uuid":"088be2cc-f9fb-41f3-bdad-46f1bd577b6f","timestamp":"2026-02-27T03:42:43.377Z"}
  {"parentUuid":"088be2cc-f9fb-41f3-bdad-46f1bd577b6f","isSidechain":false,"userType":"external","cwd":"/home/nicholai/signet/signetai","sessionId":"7311d809-dbb7-4694-8efc-91c97e86a1f6","version":"2.1.62","gitBranch":"main","slug":"nifty-giggling-mango","message":{"model":"claude-opus-4-6","id":"msg_0144923KJ8L24zpoaxisnKQe","type":"message","role":"assistant","content":[{"type":"text","text":"alright, let me read the key files first to understand the existing patterns."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":17382,"cache_read_input_tokens":42695,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":17382},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYXt95g8yxAvShjDAXJZ3","type":"assistant","uuid":"c8f01daf-5882-4a78-b7ea-e333525bfb44","timestamp":"2026-02-27T03:42:43.826Z"}
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  [truncated]


id: 0da13cfe-8df6-4fe4-bec9-894bb7f19eba
session_key: 81f0937c-027a-4e90-89b8-4bfffe9eaf62
harness: claude-code
project: /mnt/work/dev/engage
status: completed
result: ok
created_at: 2026-02-27T07:41:28.609Z
completed_at: 2026-02-27T07:42:06.276Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"7da954e5-37d9-461c-8a86-d650138f2692","toolUseID":"7da954e5-37d9-461c-8a86-d650138f2692","timestamp":"2026-02-27T07:26:09.657Z","uuid":"adbe6ec4-4b8e-43fb-98c3-c621f440238a"}
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  {"parentUuid":"ef5194ba-69eb-495d-b650-c18f16aead78","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","message":{"model":"claude-opus-4-6","id":"msg_014m2kdhwhG4Qc8LMEJTLetS","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Simple question, answer's right in the CLAUDE.md.","signature":"EtkBCkYICxgCKkBeJhENSNjHJHO+OPbeHeGymxr4YEQUEq6HApzwOC7/OieANn3F/2xhfhtStQPkffwkbaxPqtJJqYESWm4SQfhkEgzHpaFbcCBRGlbqV1EaDJ04g/1fZkJRjyUbgCIwxaQes67JFrzUp5MF33K5p4x0y/c+n7l5DlQMtIrwNVx9Y5rS84kTQGd3PLMJ4wmHKkGE+zUK3DZ+whCgdGax34YnnaZ6dFSgzBLkXHAcE6VFjhqPu61rYcUSEp9hlh+UhLBdda7Cvz1q97FLQCwgu5FzRhgB"}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":57359,"cache_read_input_tokens":0,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":57359},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYYBCYxHSGTJ2DY5h97EL","type":"assistant","uuid":"f4457772-4561-4e49-9e66-9470f19fcca4","timestamp":"2026-02-27T07:26:24.402Z"}
  {"parentUuid":"f4457772-4561-4e49-9e66-9470f19fcca4","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","message":{"model":"claude-opus-4-6","id":"msg_014m2kdhwhG4Qc8LMEJTLetS","type":"message","role":"assistant","content":[{"type":"text","text":"```\nbun dev\n```"}],"stop_reason":"end_turn","stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":57359,"cache_read_input_tokens":0,"output_tokens":31,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":57359,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYYBCYxHSGTJ2DY5h97EL","type":"assistant","uuid":"5b7a4293-306b-49a1-9ff7-fbedf412c68a","timestamp":"2026-02-27T07:26:24.454Z"}
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  {"parentUuid":"4455aa6d-258e-42a3-bf21-290c5fe8f43e","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","type":"user","message":{"role":"user","content":"it doesn't work"},"uuid":"e0f5abd4-8f2b-45b7-a1c8-2a4da32964d2","timestamp":"2026-02-27T07:26:32.388Z","todos":[],"permissionMode":"bypassPermissions"}
  {"parentUuid":"e0f5abd4-8f2b-45b7-a1c8-2a4da32964d2","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","message":{"model":"claude-opus-4-6","id":"msg_0113MEa1zU3mevVDpGufc6V5","type":"message","role":"assistant","content":[{"type":"thinking","thinking":"Let me check what's going on with the dev setup.","signature":"EtgBCkYICxgCKkBDSHlhkGzkHhiWKLXnAcGBOSk2rqqjaAF3gnFvv/v57Px6H/aDdeYTG7WcifHYrEVEX6o5sSDL1DquJdADleR7EgxX4PPe68MrCQotsdkaDIbxyhMKcoRw6UAmcyIwAx1TNCxka6R97gQqQVHFaVPGlHHyGGrLMlsD70iY0wNLwW21Hb4T6aZZavy4IwB9KkB5B3dAmmQ6Tq7RJ+s4k7eSkqVSbyxwfdPGxFV+btBLEXVFilFasEsLJDmp87gqnTrLKVd4aD33SqCEyBrhpZWqGAE="}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":85,"cache_read_input_tokens":57359,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":85},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYYBDLPmCcy5vktrNzgob","type":"assistant","uuid":"b2c3673c-abea-4bd0-b1d7-7ed360c3ff8b","timestamp":"2026-02-27T07:26:37.420Z"}
  {"parentUuid":"b2c3673c-abea-4bd0-b1d7-7ed360c3ff8b","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","message":{"model":"claude-opus-4-6","id":"msg_0113MEa1zU3mevVDpGufc6V5","type":"message","role":"assistant","content":[{"type":"text","text":"let me take a look at what's going on."}],"stop_reason":null,"stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":85,"cache_read_input_tokens":57359,"cache_creation":{"ephemeral_5m_input_tokens":0,"ephemeral_1h_input_tokens":85},"output_tokens":1,"service_tier":"standard","inference_geo":"not_available"}},"requestId":"req_011CYYBDLPmCcy5vktrNzgob","type":"assistant","uuid":"75979d0f-5618-4b02-bc5c-0002cf1452a6","timestamp":"2026-02-27T07:26:37.919Z"}
  {"parentUuid":"75979d0f-5618-4b02-bc5c-0002cf1452a6","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","message":{"model":"claude-opus-4-6","id":"msg_0113MEa1zU3mevVDpGufc6V5","type":"message","role":"assistant","content":[{"type":"tool_use","id":"toolu_01TY6cj3xCy9ZEWQoiB3ns2b","name":"Read","input":{"file_path":"/mnt/work/dev/engage/package.json"},"caller":{"type":"direct"}}],"stop_reason":"tool_use","stop_sequence":null,"usage":{"input_tokens":10,"cache_creation_input_tokens":85,"cache_read_input_tokens":57359,"output_tokens":97,"server_tool_use":{"web_search_requests":0,"web_fetch_requests":0},"service_tier":"standard","cache_creation":{"ephemeral_1h_input_tokens":85,"ephemeral_5m_input_tokens":0},"inference_geo":"","iterations":[],"speed":"standard"}},"requestId":"req_011CYYBDLPmCcy5vktrNzgob","type":"assistant","uuid":"71f4dda0-17bd-4c9f-b954-af4ef8f14f13","timestamp":"2026-02-27T07:26:38.329Z"}
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  {"parentUuid":"71f4dda0-17bd-4c9f-b954-af4ef8f14f13","isSidechain":false,"userType":"external","cwd":"/mnt/work/dev/engage","sessionId":"81f0937c-027a-4e90-89b8-4bfffe9eaf62","version":"2.1.62","gitBranch":"main","slug":"frolicking-dancing-lightning","type":"user","message":{"role":"user","content":[{"tool_use_id":"toolu_01TY6cj3xCy9ZEWQoiB3ns2b","type":"tool_result","content":"     1→{\n     2→  \"name\": \"engage\",\n     3→  \"version\": \"0.1.0\",\n     4→  \"private\": true,\n     5→  \"scripts\": {\n     6→    \"dev\": \"next dev\",\n     7→    \"build\": \"next build\",\n     8→    \"build:cf\": \"npx @cloudflare/next-on-pages\",\n     9→    \"preview\": \"npx wrangler pages dev .vercel/output/static --compatibility-flag=nodejs_compat\",\n    10→    \"deploy\": \"npx @cloudflare/next-on-pages && npx wrangler pages deploy .vercel/output/static --project-name engage-dashboard --commit-dirty=true\",\n    11→    \"start\": \"next start\",\n    12→    \"lint\": \"eslint\",\n    13→    \"mcp\": \"bun run mcp/server.ts\",\n    14→    \"mcp:remote\": \"bun run mcp/server.ts sse\"\n    15→  },\n    16→  \"dependencies\": {\n    17→    \"@hello-pangea/dnd\": \"^18.0.1\",\n    18→    \"@modelcontextprotocol/sdk\": \"^1.26.0\",\n    19→    \"class-variance-authority\": \"^0.7.1\",\n    20→    \"clsx\": \"^2.1.1\",\n    21→    \"lucide-react\": \"^0.563.0\",\n    22→    \"next\": \"16.1.6\",\n    23→    \"radix-ui\": \"^1.4.3\",\n    24→    \"react\": \"19.2.3\",\n    25→    \"react-dom\": \"19.2.3\",\n    26→    \"tailwind-merge\": \"^3.4.0\",\n    27→    \"zod\": \"^4.3.6\"\n    28→  },\n    29→  \"devDependencies\": {\n    30→    \"@cloudflare/next-on-pages\": \"^1.13.16\",\n    31→    \"@opennextjs/cloudflare\": \"^1.16.3\",\n    32→    \"@tailwindcss/postcss\": \"^4\",\n    33→    \"@types/node\": \"^20\",\n    34→    \"@types/react\": \"^19\",\n    35→    \"@types/react-dom\": \"^19\",\n    36→    \"eslint\": \"^9\",\n    37→    \"eslint-config-next\": \"16.1.6\",\n    38→    \"shadcn\": \"^3.8.4\",\n    39→    \"tailwindcss\": \"^4\",\n    40→    \"tw-animate-css\": \"^1.4.0\",\n    41→    \"typescript\": \"^5\",\n    42→    \"wrangler\": \"^4.63.0\"\n    43→  },\n    44→  \"ignoreScripts\": [\n    45→    \"sharp\",\n    46→    \"unrs-resolver\"\n    47→  ],\n    48→  \"trustedDependencies\": [\n    49→    \"sharp\",\n    50→    \"unrs-resolver\"\n    51→  ]\n    52→}\n    53→"}]},"uuid":"a5f418de-8389-4229-8f03
  [truncated]


id: d7c33f68-a18c-49fe-ac73-a4566db9b4ca
session_key: 3c61e685-6c00-4309-95c0-2db0d8bb5d59
harness: claude-code
project: /home/nicholai/signet/signetai
status: completed
result: ok
created_at: 2026-02-27T09:55:01.982Z
completed_at: 2026-02-27T09:55:37.441Z
transcript:
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id: 09183026-caa7-4afb-8370-ba0858e679c2
session_key: b0b25030-b335-4857-a7d5-14b2b8febe9d
harness: claude-code
project: /home/nicholai
status: completed
result: ok
created_at: 2026-02-27T09:58:40.661Z
completed_at: 2026-02-27T09:59:09.660Z
transcript:
  {"parentUuid":null,"isSidechain":false,"userType":"external","cwd":"/home/nicholai","sessionId":"b0b25030-b335-4857-a7d5-14b2b8febe9d","version":"2.1.62","gitBranch":"HEAD","type":"progress","data":{"type":"hook_progress","hookEvent":"SessionStart","hookName":"SessionStart:startup","command":"signet hook session-start -H claude-code --project \"$(pwd)\""},"parentToolUseID":"f1bc9746-a943-4c2c-849a-fcbee9b9fc11","toolUseID":"f1bc9746-a943-4c2c-849a-fcbee9b9fc11","timestamp":"2026-02-27T05:20:54.315Z","uuid":"1294b50a-0e9c-4f91-94a9-c95617aff177"}
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  {"parentUuid":"c4cec1be-bff7-4e7d-b686-f6baf019ffdf","isSidechain":false,"userType":"external","cwd":"/home/nicholai","sessionId":"b0b25030-b335-4857-a7d5-14b2b8febe9d","version":"2.1.62","gitBranch":"HEAD","message":{"model":"claude-opus-4-6","id":"msg_01Rdvs1EzGr6Zmfakf5bW49a","type":"message","role":"assistant","content":[{"type":"text","text":"hey there, friend of nicholai :)\n\nso signet is nicholai's project - a portable identity and memory layer for AI agents. here's the quick version:\n\n**the problem:** every AI tool (claude code, cursor, chatgpt, etc) treats you like a stranger every session. your preferences, project context, past decisions - gone. and if you switch tools, you start from zero again.\n\n**what signet does:**\n- keeps a persistent memory database that gets loaded into every conversation automatically\n- maintains an agent profile (personality, instructions, user preferences) that travels across platforms\n- scores memories by importance and recency so i get the most relevant context, not everything\n- captures session summaries in the background after conversations end\n- has explicit commands too - nicholai can say `/remember` or `/recall` for things auto-ca
  [truncated]


