2026-02-21T11-12-04_auto_memory/debug.log, memory/MEMORY.md

.daemon/logs/signet-2026-02-21.log

@@ -1883,3 +1883,8 @@
 {"timestamp":"2026-02-21T11:06:13.036Z","level":"warn","category":"git","message":"Periodic sync failed: Push failed: To https://github.com/Signet-AI/signetai.git\n ! [rejected]          HEAD -> main (non-fast-forward)\nerror: failed to push some refs to 'https://github.com/Signet-AI/signetai.git'\nhint: Updates were rejected because the tip of your current branch is behind\nhint: its remote counterpart. If you want to integrate the remote changes,\nhint: use 'git pull' before pushing again.\nhint: See the 'Note about fast-forwards' in 'git push --help' for details.\n"}
 {"timestamp":"2026-02-21T11:10:27.496Z","level":"info","category":"watcher","message":"File changed","data":{"path":"/home/nicholai/.agents/memory/debug.log"}}
 {"timestamp":"2026-02-21T11:10:30.184Z","level":"info","category":"watcher","message":"File changed","data":{"path":"/home/nicholai/.agents/memory/debug.log"}}
+{"timestamp":"2026-02-21T11:10:35.204Z","level":"info","category":"git","message":"Auto-committed","data":{"message":"2026-02-21T11-10-35_auto_memory/debug.log, memory/debug.log","filesChanged":2}}
+{"timestamp":"2026-02-21T11:11:13.015Z","level":"warn","category":"git","message":"Push failed: To https://github.com/Signet-AI/signetai.git\n ! [rejected]          HEAD -> main (non-fast-forward)\nerror: failed to push some refs to 'https://github.com/Signet-AI/signetai.git'\nhint: Updates were rejected because the tip of your current branch is behind\nhint: its remote counterpart. If you want to integrate the remote changes,\nhint: use 'git pull' before pushing again.\nhint: See the 'Note about fast-forwards' in 'git push --help' for details.\n"}
+{"timestamp":"2026-02-21T11:11:13.015Z","level":"warn","category":"git","message":"Periodic sync failed: Push failed: To https://github.com/Signet-AI/signetai.git\n ! [rejected]          HEAD -> main (non-fast-forward)\nerror: failed to push some refs to 'https://github.com/Signet-AI/signetai.git'\nhint: Updates were rejected because the tip of your current branch is behind\nhint: its remote counterpart. If you want to integrate the remote changes,\nhint: use 'git pull' before pushing again.\nhint: See the 'Note about fast-forwards' in 'git push --help' for details.\n"}
+{"timestamp":"2026-02-21T11:11:59.488Z","level":"info","category":"watcher","message":"File changed","data":{"path":"/home/nicholai/.agents/memory/debug.log"}}
+{"timestamp":"2026-02-21T11:11:59.488Z","level":"info","category":"watcher","message":"File changed","data":{"path":"/home/nicholai/.agents/memory/MEMORY.md"}}

memory/MEMORY.md

@@ -1,71 +1,70 @@
-<!-- generated 2026-02-20 04:14 -->
+<!-- generated 2026-02-21 04:11 -->
 
 Current Context
 
-Implementing Phase B: Shadow Extraction for the Signet memory pipeline. The focus is building the extraction and decision intelligence layer in shadow mode to validate quality/reliability without destructive consequences.
+Actively implementing the Signet memory pipeline (Phase D) - focusing on explicit mutation APIs and end-to-end testing with concurrent sessions. The daemon's memory system is transitioning from shadow writes to controlled writes with proper safety gates.
 
 Active Projects
 
-Phase B: Shadow Extraction Implementation
-- Location: `packages/daemon/src/`
-- Status: Planning complete, awaiting implementation
-- Dependencies: Phase A infrastructure (schema migrations, DB accessor, feature flags) now in `c1e43b6`
-- Next Steps:
-  1. Create `src/extract/` module with `extractFactsAndEntities(input): ExtractionResult`
-  2. Build `src/decision/` module for shadow candidate retrieval
-  3. Implement `src/worker.ts` with job queue processing (reads from `memory_jobs`, writes to `memory_history`)
-  4. Add contract validation and warning persistence
-- Key Constraints:
-  - Extract from daemon.ts recall logic and hooks.ts extraction
-  - Keep semantics non-mutating
-  - All logs go to `memory_history` table only
-  - New files needed (daemon.ts is 4511 LOC)
+Signet Memory Pipeline - Phase D
+Location: `packages/daemon/src/transactions.ts`, `packages/daemon/src/daemon.ts`, `docs/wip/memory-pipeline-plan.md`
+- Status: Just completed D1 (mutation APIs), ready to start D2 (optimistic concurrency + policy guards)
+- Next steps: Implement D2/D3 from spec section 14.5-14.8, add full integration tests
+- Current state: Handlers and transaction closures for `PATCH /api/memory/:id`, `DELETE /api/memory/:id`, `POST /api/memory/forget`, `POST /api/memory/modify` are in place. Need to add optimistic concurrency and policy validation.
+
+UI Development
+Location: Any frontend component work
+- Status: In progress
+- Critical rule: Never delegate UI work to subagents. Must be done directly by Opus, passing same image references provided by user. (See: [fact])
+
+Qwen3-14B Model Setup
+Location: Ollama / local model
+- Status: Just configured with custom Modelfile for high-reasoning work
+- Next steps: Integration with daemon or other services
 
 Recent Work
 
-Phase A: Infrastructure Hardening (completed in `c1e43b6`)
-- Schema migrations 001+002 for job queue/history tables
-- Singleton DB accessor with WAL mode and read pool
-- Transaction boundaries keeping provider calls outside write locks
-- Content-hash dedup implementation
-- Feature flags with kill switches (`PipelineV2Config`)
-- Entity graph schema with proper entity types
-- 102 tests passing
+Feb 21, 2026:
+- Completed Phase C of memory pipeline - dual-mode worker (shadow vs controlled-write), minFactConfidenceForWrite config, extended decision outputs with fact context
+- Implemented D1 mutation APIs with thin Hono handlers calling pure DB transaction closures
+- Validated txIngestEnvelope writes all v2 memory columns (normalized_content, is_deleted, extraction_status, embedding_model, extraction_model)
+- Set up Ollama model `teichai-qwen3-14b` for local inference
 
-Team Structure Established
-- Parallel agent delegation used successfully
-- Schema-agent, db-accessor-agent, config-test-agent working in sequence
-- Integration pass handling remaining wiring
+Key decisions:
+- Keep mutation logic in pure DB transaction closures (`txModifyMemory`, `txForgetMemory`, etc.) - handlers are thin validators
+- Transaction boundaries must be respected - no provider calls in transaction closures
+- Use normalized/hash-derived content for consistent embeddings
+- Maintain audit trail via `reason` and `if_version` fields
+
+Problems solved:
+- Fixed v2 column population in txIngestEnvelope - both daemon remember path and pipeline derived-memory path now populate metadata correctly
+- Established safety gates pattern with `applyPhaseCWrites` pure DB closure
 
 Technical Notes
 
+Codebase:
+- Go/TypeScript daemon with SQLite database
+- Transaction system: `transactions.ts` contains closures like `txIngestEnvelope`, `txApplyDecision`, `txModifyMemory`
+- Hono for HTTP routing with thin handlers delegating to transaction closures
+
 Database Schema:
-- `memory_jobs` table: stores job queue entries
-- `memory_history` table: stores shadow extraction logs/proposals
-- Feature flags: `PIPELINE_FLAGS` in `memory-config.ts`
+- Memory table has v2 columns: `normalized_content`, `is_deleted`, `extraction_status`, `embedding_model`, `extraction_model`
+- IngestEnvelope struct has optional fields for different metadata sources
+- Concurrency via `if_version` field and optimistic locking
 
-Key Interfaces:
-- `ExtractionResult`: structured facts + entities output
-- `DecisionEngine`: retrieve top-K candidates, confidence scoring
-- `SignetLifecycle` connectors pattern maintained
+Models:
+- Qwen3-14B-Claude-4.5-Opus-High-Reasoning-Distill (Q8_0 quant, 15.7GB) via Ollama
+- Custom Modelfile with system prompt and tool definitions
 
-Tooling:
-- Database access via singleton accessor
-- Transaction wrappers for write operations
-- Content hashing for deduplication
-- Vector search integration for candidate retrieval
-
-Code Standards:
-- Self-explanatory code with "why" comments
-- Max 700 LOC per file, max 3 indentation levels
-- Test in browser (not lazy)
+Testing:
+- Integration tests for mutation APIs, audit trail, and recovery semantics needed
+- End-to-end pipeline validation completed for Phase C
 
 Rules & Warnings
 
-- Never delegate UI work to subagents (handle personally as Opus)
-- Prefer Sonnet/Haiku delegation when operating as Opus
-- Keep journal entries in memory database regularly
-- Signet agent profile at `~/.agents/`
-- Phase B work must be in new files (daemon.ts too large at 4511 LOC)
-- Test in browser, don't be lazy
-- Non-mutating semantics for shadow extraction phase
+- UI Work Rule: Never delegate UI/frontend work to subagents. Must be handled directly by the current model (Opus) passing identical image references as provided by user. This is critical for maintaining context and fidelity.
+- Architecture: Keep transaction closures pure (no async, no provider calls). Handlers validate and call closures.
+- Phase Order: Follow spec order - D1 (mutation APIs) → D2 (concurrency/policy) → D3 (integration tests).
+- Safety Gates: minFactConfidenceForWrite must be respected in all write paths.
+- Content Normalization: Use normalized/hash-derived content for consistent embeddings across different sources.
+- Audit Trail: Always include `reason` and `if_version` fields in mutation operations.

memory/debug.log

@@ -698,3 +698,5 @@ We are synthesizing a WORKING MEMORY document for Nicholai. Focus is on CURRENT
 2026-02-21T04:10:27.495157 [regenerate] starting regeneration
 2026-02-21T04:10:30.183947 [regenerate] found 455 transcripts, 50 memories
 2026-02-21T04:10:30.184082 [regenerate] trying model: glm-4.7-flash
+2026-02-21T04:11:59.487575 [regenerate] success with glm-4.7-flash (3941 chars)
+2026-02-21T04:11:59.487743 [regenerate] wrote 3978 chars to MEMORY.md

skills/signet-design/SKILL.md

@@ -14,6 +14,27 @@ description: >
 
 See `assets/design-brief.png` for a full-page reference screenshot.
 
+## What Signet Is
+
+Signet is the layer that takes an LLM from a stateless autocomplete
+algorithm to a real individual with opinions, persistence, and skills.
+It is a portable, user-owned standard for agent identity — your
+configuration, memory, personality, and skills travel with you across
+platforms. No single company or harness owns your agent. Your agent
+is yours.
+
+Memory isn't just recall. It's coherence. An agent running across
+multiple sessions on different platforms is still one agent. Experiences
+branch and merge like version control — same history, different heads,
+converging back into a single identity. Corrigibility is built in, not
+bolted on. The trust layer keeps track of mistakes and works to ensure
+they never happen again.
+
+The design system reflects this philosophy: technical, industrial,
+honest. Nothing soft or friendly. Nothing that hides the machinery.
+Signet's UI should feel like looking at a live system — a mind that
+persists, not a product that sells.
+
 ## Aesthetic Direction
 
 Technical. Industrial. Near-monochrome. The visual language draws from