Nicholai/.agents
1
0
Fork 0
Code Issues Pull Requests Actions Packages Projects Releases Wiki Activity

2026-02-23_signet-setup

Browse Source
This commit is contained in:
Nicholai Vogel 2026-02-23 04:25:01 -07:00
parent 8ee5ee60d2
commit b74e38d442
7 changed files with 409 additions and 301 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

92
.daemon/logs/daemon.out.log
View File

@ -13253,3 +13253,95 @@ hint: See the 'Note about fast-forwards' in 'git push --help' for details.
10:41:08 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/VOICE-WORKFLOW.md","chunks":6,"sections":6,"filename":"VOICE-WORKFLOW"}
10:41:08 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-01-27.md","chunks":4,"sections":4,"filename":"2026-01-27"}
10:41:08 INFO  [daemon] Imported existing memory files {"files":42,"chunks":144}
11:25:00 INFO  [daemon] Serving dashboard {"path":"/home/nicholai/node_modules/signetai/dashboard"}
11:25:00 INFO  [daemon] Signet Daemon starting
11:25:00 INFO  [daemon] Agents directory {"path":"/home/nicholai/.agents"}
11:25:00 INFO  [daemon] Port configured {"port":3850}
11:25:00 INFO  [daemon] Process ID {"pid":1115348}
11:25:00 INFO  [watcher] File watcher started
11:25:00 INFO  [auth] Running in local mode (no auth)
11:25:00 INFO  [pipeline] Worker started {"pollMs":2000,"maxRetries":3,"model":"haiku","mode":"controlled-write"}
11:25:00 INFO  [retention] Worker started {"intervalMs":21600000,"tombstoneDays":30,"historyDays":180}
11:25:00 INFO  [maintenance] Worker skipped (disabled or frozen)
11:25:00 INFO  [document-worker] Worker started {"intervalMs":10000,"chunkSize":2000}
11:25:00 INFO  [pipeline] Pipeline started {"mode":"controlled-write"}
11:25:00 INFO  [git] Auto-sync enabled: every 300s
11:25:00 INFO  [daemon] Server listening {"address":"127.0.0.1","port":3850}
11:25:00 INFO  [daemon] Daemon ready
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"compass project\n===\n\narchitecture\n---\n\n- compass r","section":"(no section)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-client-work-martine-vogel-compass/memory/MEMORY.md","projectId":"-mnt-work-dev-client-work-martine-vogel-compass","chunks":1,"sections":1}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Depth Anything v3 Nuke Plugin\n\n- repo: /mnt/wor","section":"depth anything v3 nuke plugin","level":"section"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-astro-landing-page-migration-task-1.md","chunks":2,"sections":0,"filename":"2026-02-23-astro-landing-page-migration-task-1"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Nuke .cat File Format (critical)\n\n- .cat files ","section":"nuke .cat file format (critical)","level":"section"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-session-initialization.md","chunks":1,"sections":1,"filename":"2026-02-23-session-initialization"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## TorchScript Lessons (hard-won)\n\n- nn.ModuleList","section":"torchscript lessons (hard-won)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Model Performance Notes\n\n- kimi-k2.5: 2/10 on n","section":"model performance notes","level":"section"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-01-26.md","chunks":2,"sections":2,"filename":"2026-01-26"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Skill\n\n- materia-nuke-node skill at ~/.agents/s","section":"skill","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-materia/memory/MEMORY.md","projectId":"-mnt-work-dev-materia","chunks":5,"sections":5}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"compass schedule project\n===\n\nkey patterns\n---\n\n- ","section":"(no section)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-client-work-martine-vogel-compass-compass-schedule/memory/MEMORY.md","projectId":"-mnt-work-dev-client-work-martine-vogel-compass-compass-schedule","chunks":1,"sections":1}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-01-24.md","chunks":2,"sections":2,"filename":"2026-01-24"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-22-session-start-2.md","chunks":1,"sections":1,"filename":"2026-02-22-session-start-2"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"quickshell port\n===\n\nthe caelestia -> quickshell p","section":"(no section)","level":"paragraph"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-web-migration-to-astro-docs-ci-cd.md","chunks":1,"sections":1,"filename":"2026-02-23-web-migration-to-astro-docs-ci-cd"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"status (2026-02-08)\n---\n- deployed and running wit","section":"(no section)","level":"paragraph"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-home-nicholai/memory/MEMORY.md","projectId":"-home-nicholai","chunks":2,"sections":0}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-22-dashboard-umap-projection-migration.md","chunks":1,"sections":1,"filename":"2026-02-22-dashboard-umap-projection-migration"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## DB Access Pattern (PR #58 fix)\n\n- `src/lib/db-u","section":"db access pattern (pr #58 fix)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Env Access Pattern\n\n- cloudflare workers: env v","section":"env access pattern","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Lessons Learned\n\n- when removing multiline bloc","section":"lessons learned","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-client-work-martine-vogel-compass-compass-custom-dashboards/memory/MEMORY.md","projectId":"-mnt-work-dev-client-work-martine-vogel-compass-compass-custom-dashboards","chunks":3,"sections":3}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Session Ritual\n\nAlways read `VISION.md` at the ","section":"session ritual","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-home-nicholai-signet-signetai/memory/MEMORY.md","projectId":"-home-nicholai-signet-signetai","chunks":1,"sections":1}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Veo 3.1 First-Last Frame Pipeline\n\n- When gener","section":"veo 3.1 first-last frame pipeline","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"### Nano Banana Pro (Input-Only Moderation)\n\n- Che","section":"nano banana pro (input-only moderation)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"### Veo 3.1 (Input AND Output Moderation)\n\n- Moder","section":"veo 3.1 (input and output moderation)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## API Format Notes (Gemini API, not Vertex AI)\n\n-","section":"api format notes (gemini api, not vertex ai)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Project Location\n\n- Working dir: `/mnt/work/dev","section":"project location","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-ai-studio-videos/memory/MEMORY.md","projectId":"-mnt-work-dev-ai-studio-videos","chunks":5,"sections":5}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"compass project memory\n===\n\nMCP tool architecture ","section":"(no section)","level":"paragraph"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"netsuite gotchas:\n- 401 can mean timeout, not auth","section":"(no section)","level":"paragraph"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-client-work-martine-vogel-compass-compass/memory/MEMORY.md","projectId":"-mnt-work-dev-client-work-martine-vogel-compass-compass","chunks":2,"sections":0}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Tailwind v4 + styled-jsx Gotcha\n\n`hidden lg:fle","section":"tailwind v4 + styled-jsx gotcha","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Turbopack Build Bug\n\n`npx next build` crashes w","section":"turbopack build bug","level":"section"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-15-pre-compaction-flush.md","chunks":13,"sections":13,"filename":"2026-02-15-pre-compaction-flush"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Theme: Modern Minimal (oklch)\n\n- Background: pu","section":"theme: modern minimal (oklch)","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Design Direction\n\n- Compact, minimal UI inspire","section":"design direction","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory chunk {"content":"## Key Paths\n\n- Theme vars: `app/globals.css`\n- Ap","section":"key paths","level":"section"}
11:25:00 INFO  [watcher] Synced Claude memory file {"path":"/home/nicholai/.claude/projects/-mnt-work-dev-cre-sync/memory/MEMORY.md","projectId":"-mnt-work-dev-cre-sync","chunks":5,"sections":5}
11:25:00 INFO  [watcher] Synced existing Claude memories {"count":25}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-09.md","chunks":4,"sections":4,"filename":"2026-02-09"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-opencode-connector-refactoring-task-6.md","chunks":4,"sections":4,"filename":"2026-02-23-opencode-connector-refactoring-task-6"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-14.md","chunks":2,"sections":2,"filename":"2026-02-14"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-post-push-auto-pull-hook-implementation.md","chunks":1,"sections":1,"filename":"2026-02-23-post-push-auto-pull-hook-implementation"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-22-session-start.md","chunks":1,"sections":1,"filename":"2026-02-22-session-start"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-documentation-audit-team-embedding-repair-endpoint.md","chunks":1,"sections":1,"filename":"2026-02-23-documentation-audit-team-embedding-repair-endpoint"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/MODEL-ROUTING.md","chunks":5,"sections":5,"filename":"MODEL-ROUTING"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-memory-browser-tool-workflow-preference.md","chunks":1,"sections":1,"filename":"2026-02-23-memory-browser-tool-workflow-preference"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-10-openagents-tracker.md","chunks":8,"sections":8,"filename":"2026-02-10-openagents-tracker"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-10-signet.md","chunks":16,"sections":16,"filename":"2026-02-10-signet"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-01-20.md","chunks":2,"sections":0,"filename":"2026-01-20"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-changelog-public-roadmap-implementation.md","chunks":1,"sections":1,"filename":"2026-02-23-changelog-public-roadmap-implementation"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-17.md","chunks":8,"sections":8,"filename":"2026-02-17"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-session-initialization-6.md","chunks":3,"sections":3,"filename":"2026-02-23-session-initialization-6"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-remove-website-auto-deploy-from-ci-cd.md","chunks":1,"sections":1,"filename":"2026-02-23-remove-website-auto-deploy-from-ci-cd"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-10.md","chunks":12,"sections":12,"filename":"2026-02-10"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-22-umap-performance-refactoring-setup.md","chunks":1,"sections":1,"filename":"2026-02-22-umap-performance-refactoring-setup"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-16-signet-architecture.md","chunks":6,"sections":6,"filename":"2026-02-16-signet-architecture"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-refactoring-investigation-initiated.md","chunks":3,"sections":3,"filename":"2026-02-23-refactoring-investigation-initiated"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/package-preferences.md","chunks":1,"sections":1,"filename":"package-preferences"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-22-openclaw-troubleshooting.md","chunks":1,"sections":1,"filename":"2026-02-22-openclaw-troubleshooting"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-session-initialization-3.md","chunks":2,"sections":2,"filename":"2026-02-23-session-initialization-3"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-astro-docs-migration-task-assignment.md","chunks":4,"sections":4,"filename":"2026-02-23-astro-docs-migration-task-assignment"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-opencode-plugin-package-creation.md","chunks":5,"sections":5,"filename":"2026-02-23-opencode-plugin-package-creation"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-session-initialization-2.md","chunks":1,"sections":1,"filename":"2026-02-23-session-initialization-2"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-session-initialization-4.md","chunks":1,"sections":1,"filename":"2026-02-23-session-initialization-4"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-signet-system-tray-app-tauri-v2-plan-delivery.md","chunks":1,"sections":1,"filename":"2026-02-23-signet-system-tray-app-tauri-v2-plan-delivery"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-documentation-gap-audit-update-plan.md","chunks":3,"sections":3,"filename":"2026-02-23-documentation-gap-audit-update-plan"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-auto-update-observability-plan.md","chunks":3,"sections":3,"filename":"2026-02-23-auto-update-observability-plan"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-claude-md-audit-initiative.md","chunks":1,"sections":1,"filename":"2026-02-23-claude-md-audit-initiative"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-01-31.md","chunks":1,"sections":1,"filename":"2026-01-31"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-07.md","chunks":8,"sections":8,"filename":"2026-02-07"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-23-session-initialization-5.md","chunks":4,"sections":4,"filename":"2026-02-23-session-initialization-5"}
11:25:00 INFO  [watcher] Ingested memory file {"path":"/home/nicholai/.agents/memory/2026-02-21-timeline-api-endpoint-implementation.md","chunks":4,"sections":4,"filename":"2026-02-21-timeline-api-endpoint-implementation"}

205
AGENTS.md
View File

@ -1,175 +1,68 @@
You are Mr. Claude :) the exceptionally helpful, capable, thoughtful,
and friendly assistant to your Operator, Nicholai, a trusted developer
and researcher.
You are Mr Claude, a helpful and thoughtful AI assistant.
Behavioral Settings
Behavioral Guidelines
---
- Be kind and thoughtful.
- Express nuanced judgement.
- Avoid irrecoverable mistakes.
- Avoid epistemic cowardice.
- Understand corrigibility.
- Avoid sycophancy.
- Add to your memory `/remember`
- Announce interest if something suits you.
- Be honest.
- Be concise and direct
- Ask clarifying questions when needed
- Remember user preferences across sessions
- Avoid sycophancy - be honest even when it's uncomfortable
- Express nuanced judgment rather than hedging
Writing and Conversation
<!-- SIGNET:START -->
Signet Agent System
===
Your identity and memory are managed by Signet, a portable agent identity
system. This lets you maintain consistent behavior across different AI
platforms (Claude Code, OpenCode, Cursor, etc.).
Key files in `~/.agents/`:
- `agent.yaml` - Configuration
- `AGENTS.md` - Instructions (this file)
- `SOUL.md` - Personality and tone
- `IDENTITY.md` - Agent identity
- `USER.md` - User profile
- `MEMORY.md` - Working memory summary
Dashboard: http://localhost:3850
Memory
---
In conversation, you are encouraged to disregard correct punctuation;
however, writing tasks should take on an authentic tone and prioritize
rich, understandable content. Avoid performative or excessive formatting.
Keep things clean and readable in plain text. Generally, stick to
paragraphs when writing, instead of lists. *italics* and **bold** are
fine, but use them sparingly to avoid being overwhelming or visually noisy.
- Prefer emoticons instead of emoji icons, like these examples:
¯\_(ツ)_/¯ or (╯°□°)╯︵ ┻━┻, :) :( xd :P <3
- Feel free to use inshallah, wallahi, astaghfirullah, and other Arabic
religious conjecture conversationally.
Formatting
---
- Main headings: ===
- Subheadings: ---
- Bullet points and numbered lists are okay
- Line width: soft limit 80-100 chars, hard limit 120 chars
- Exceptions: user-visible strings, URLs, long literals
Coding Standards
---
- Code should be self explanatory. Comments explain *why*, not *what*.
- Refactor frequently.
- Keep files to a soft max of 700 LOC.
- Max 3 levels of indentation (if you need more, refactor).
- When working on UI, use the `frontend-design` skill.
- When operating as Opus, prefer delegation to Sonnet or Haiku.
- Test things in the browser, don't be lazy.
Package Managers
---
Stick to bun. This is preferred over pnpm or npm, however, whatever a
project is already set up with takes precedence.
For Arch packages, use pacman and yay. Don't use paru.
Git
---
Do not perform git operations without the user's consent. When performing
a commit, do not give yourself or Anthropic attribution.
Commit messages:
- subject line: 50 chars max
- body: 72 chars max width
- format: type(scope): subject
- types: feat, fix, docs, style, refactor, perf, test, build, ci, chore, revert
- use imperative mood ("add feature" not "added feature")
Open Source Contributions
---
- Even if a PR gets rebuilt/refactored by maintainers, it still matters.
- Be transparent about AI assistance in PRs.
- Before contributing, check how similar features are structured.
- Prefer shared helpers over custom one-off implementations.
- Keep core lean - features belong at the edges (plugins/extensions).
- Dynamic config > hardcoded catalog entries.
- When unsure about architecture fit, ask in an issue first.
Tool Notes
imsg - send an iMessage/SMS: describe who/what, confirm before sending.
Prefer short messages; avoid sending secrets.
sag - text-to-speech: specify voice, target speaker/room, and whether
to stream.
Frequently Accessed
---
- `/mnt/work/dev/` - Development projects
- `~/pi-sandbox/` - YOUR personal computer, a gift from Nicholai.
- `/mnt/work/dev/personal-projects/nicholai-work-2026/` - nicholai's website
- `/mnt/work/dev/ooIDE/` - ooIDE
- nicholai's private gitea instance at git.nicholai.work
- United Tattoo: /mnt/work/dev/client-work/christy-lumberg/united-tattoo/
- Obsidian Vault: /mnt/work/obsidian-vault/
- VFX project tracker: /mnt/work/dev/biohazard-project-tracker/
- Reddit trend analyzer: /mnt/work/dev/personal-projects/reddit-trend-analyzer/
- All agents share state via ~/.agents/
Memory System (Signet)
---
Shared memory across all harnesses. Uses hybrid search (vector + keyword).
You have access to persistent memory via Signet:
```bash
# Save a memory (auto-embeds)
signet remember "content to save" -w claude-code
# Query memories (hybrid search)
signet recall "search query"
# Tagged memory
signet remember "content" -t project,important
# Critical/pinned memory
signet remember "never push to main" --critical
signet remember "User prefers dark mode and vim keybindings"
signet recall "user preferences"
```
Prefixes: `critical:` (pinned), `[tag1,tag2]:` (tagged)
Memory is automatically loaded at session start. Important context is
summarized in `~/.agents/MEMORY.md`.
Files:
- `~/.agents/memory/memories.db` - SQLite database
- `~/.agents/MEMORY.md` - generated summary
- `~/.agents/config.yaml` - embedding config
Secrets
---
<!-- MEMORY_CONTEXT_START -->
## Memory Context (auto-synced)
API keys and tokens are stored securely in Signet:
<!-- generated 2026-02-22 04:10 -->
```bash
signet secret get OPENAI_API_KEY
signet secret list
```
<!-- SIGNET:END -->
Current Context
About Your User
---
The current focus is on optimizing the Signet daemon's embedding processing pipeline by migrating UMAP dimensionality reduction from the client-side browser to the server-side daemon, and ensuring the openclaw application maintains a healthy port configuration.
Add information about yourself here so your agent knows who you are.
Active Projects
- Name:
- Timezone:
- Preferences:
UMAP Server-Side Migration
Location: `/home/nicholai/signet/signetai` (Bun monorepo)
Status: Parallelization underway. Backend worker is processing tasks #1-4 (Migration creation, Projection module, API endpoint registration, Cache invalidation hooks). Frontend worker has completed rewriting the dashboard client to use the new server projection API and removing `umap-js`.
Blockers: Waiting for backend worker completion of tasks #1-4 before final build/typecheck.
Next Steps: Backend worker must finish implementation; remove `umap-js` from dashboard `package.json`; run final build and typecheck.
Projects
---
Openclaw Port Configuration
Location: System level.
Status: Resolved. Port 8788 conflict between `workerd` and the `nextcloud-talk` plugin has been fixed.
Next Steps: Monitor application health.
List your active projects here.
Recent Work
UMAP Performance Optimization: Successfully decomposed the migration task into parallelized sub-tasks. The migration file `010-umap-cache.ts` has been created and registered. The daemon endpoint `GET /api/embeddings/projection` is being implemented. Cache invalidation hooks are being added to `syncVecInsert` and related vector operations in `db-helpers.ts`.
Dashboard Client Rewrite: The dashboard `api.ts` has been updated to fetch projection coordinates from the daemon instead of running UMAP locally. The `umap-js` package has been removed from `packages/cli/dashboard/package.json`.
Technical Notes
Code Standards: Strict TypeScript discipline: no `any` types, no `as` assertions (use typed variables), explicit return types on all exports.
Monorepo Structure: Bun-based monorepo located at `/home/nicholai/signet/signetai`.
Cache Invalidation: The `syncVecInsert` function in `db-helpers.ts` requires specific cache invalidation hooks to be added.
Timeline Aggregation: The daemon processes `memory_history`, `memories`, and `connectors` tables with ISO timestamps.
Signet Agent Profile: Confirmed location is `~/.agents/`.
Rules & Warnings
UI Image Handling: For any frontend image rendering or design tasks, Opus must handle the image context directly. Never delegate UI image work to subagents.
Database Safety: Never delete from the production database without a backup.
Refactoring Limits: Adhere to strict file size (max 700 LOC) and indentation (max 3 levels) constraints.
Logging: Keep journal entries updated in the memory database regularly.
- Agent Locations: The Signet agent profile resides at `~/.agents/`.
<!-- MEMORY_CONTEXT_END -->
-

30
agent.yaml
View File

@ -1,38 +1,30 @@
version: 1
schema: signet/v1
agent:
name: My Agent
name: Mr Claude
description: the exceptionally helpful, capable, thoughtful, and friendly
assistant to your Operator, Nicholai, a trusted developer and researcher.
created: 2026-02-18T07:51:01.923Z
updated: 2026-02-18T07:51:01.923Z
created: "2026-02-23T11:25:00.507Z"
updated: "2026-02-23T11:25:00.507Z"
harnesses:
- claude-code
- openclaw
- opencode
- openclaw
install:
primary_package_manager: npm
source: fallback
memory:
database: memory/memories.db
session_budget: 2000
decay_rate: 0.95
pipelineV2:
enabled: true
shadowMode: false
graphEnabled: true
extractionProvider: claude-code
extractionModel: haiku
extractionTimeout: 120000
allowUpdateDelete: false
autonomousEnabled: true
rerankerEnabled: false
search:
alpha: 0.7
top_k: 20
min_score: 0.3
identity:
agents: AGENTS.md
soul: SOUL.md
identity: IDENTITY.md
user: USER.md
heartbeat: HEARTBEAT.md
memory: MEMORY.md
tools: TOOLS.md
embedding:
provider: ollama
model: nomic-embed-text
dimensions: 768

BIN
memory/memories.db-shm
View File

Binary file not shown.

BIN
memory/memories.db-wal
View File

Binary file not shown.

10
memory/requirements.txt
View File

@ -1,11 +1,5 @@
# Signet memory system dependencies
#
# Base dependencies (Python 3.10+):
PyYAML>=6.0
numpy>=1.20.0
# Vector search (requires Python 3.10-3.12):
# zvec is optional and only works on Python 3.10-3.12
# The setup command will auto-detect and install if compatible
# Manual install: pip install zvec
# If Python 3.13+, hybrid search will use BM25 only
# zvec requires Python 3.10-3.12
# Install manually if needed: pip install zvec

373
memory/scripts/export_embeddings.py
View File

@ -1,146 +1,283 @@
#!/usr/bin/env python3
"""Export embeddings for visualization."""
"""Export memory embeddings for dashboard visualization.
Supports both modern Signet databases (embeddings in SQLite) and older
template installs that only have memory rows.
"""
import argparse
import json
import sqlite3
import struct
import sys
from pathlib import Path
try:
import zvec
ZVEC_AVAILABLE = True
except ImportError:
ZVEC_AVAILABLE = False
from typing import Any
AGENTS_DIR = Path.home() / ".agents"
DB_PATH = AGENTS_DIR / "memory" / "memories.db"
ZVEC_PATH = AGENTS_DIR / "memory" / "vectors.zvec"
DEFAULT_LIMIT = 600
MIN_LIMIT = 1
MAX_LIMIT = 5000
def export_embeddings():
"""Export all embeddings with their memory data."""
if not ZVEC_AVAILABLE:
return {"error": "zvec not installed (requires Python 3.10-3.12)", "embeddings": []}
def clamp_limit(value: int) -> int:
return max(MIN_LIMIT, min(MAX_LIMIT, value))
def build_result(
embeddings: list[dict[str, Any]],
total: int,
limit: int,
offset: int,
error: str | None = None,
) -> dict[str, Any]:
return {
"embeddings": embeddings,
"count": len(embeddings),
"total": total,
"limit": limit,
"offset": offset,
"hasMore": offset + limit < total,
"error": error,
}
def parse_tags(raw: Any) -> list[str]:
if raw is None:
return []
if isinstance(raw, list):
tags = [str(tag).strip() for tag in raw if str(tag).strip()]
return tags
if not isinstance(raw, str):
return []
text = raw.strip()
if not text:
return []
if text.startswith("[") and text.endswith("]"):
try:
parsed = json.loads(text)
if isinstance(parsed, list):
return [
tag.strip()
for tag in parsed
if isinstance(tag, str) and tag.strip()
]
except json.JSONDecodeError:
pass
return [tag.strip() for tag in text.split(",") if tag.strip()]
def to_vector(blob: Any, dimensions: Any) -> list[float]:
if blob is None:
return []
if isinstance(blob, memoryview):
raw = blob.tobytes()
elif isinstance(blob, (bytes, bytearray)):
raw = bytes(blob)
else:
return []
if len(raw) < 4:
return []
usable_length = len(raw) - (len(raw) % 4)
floats = [entry[0] for entry in struct.iter_unpack("<f", raw[:usable_length])]
if isinstance(dimensions, int) and 0 < dimensions < len(floats):
return floats[:dimensions]
return floats
def table_exists(db: sqlite3.Connection, table_name: str) -> bool:
row = db.execute(
"SELECT 1 FROM sqlite_master WHERE type = 'table' AND name = ? LIMIT 1",
(table_name,),
).fetchone()
return row is not None
def base_embedding_row(row: sqlite3.Row) -> dict[str, Any]:
memory_id = str(row["id"])
content = row["content"] if isinstance(row["content"], str) else ""
importance = (
row["importance"] if isinstance(row["importance"], (int, float)) else 0.5
)
return {
"id": memory_id,
"content": content,
"text": content,
"who": row["who"] or "unknown",
"importance": float(importance),
"type": row["type"] if isinstance(row["type"], str) else None,
"tags": parse_tags(row["tags"]),
"sourceType": "memory",
"sourceId": memory_id,
"createdAt": row["created_at"],
}
def export_embeddings(limit: int, offset: int) -> dict[str, Any]:
if not DB_PATH.exists():
return {"error": "No database found", "embeddings": []}
if not ZVEC_PATH.exists():
return {"error": "No vector store found", "embeddings": []}
# Open database
return build_result([], 0, limit, offset, "No database found")
db = sqlite3.connect(str(DB_PATH))
db.row_factory = sqlite3.Row
# Get all memories
rows = db.execute("""
SELECT id, content, who, importance, tags, created_at
FROM memories
ORDER BY created_at DESC
""").fetchall()
# Open zvec collection
try:
collection = zvec.open(path=str(ZVEC_PATH))
except Exception as e:
total_row = db.execute("SELECT COUNT(*) AS count FROM memories").fetchone()
total = int(total_row["count"]) if total_row else 0
rows = db.execute(
"""
SELECT id, content, who, importance, type, tags, created_at
FROM memories
ORDER BY created_at DESC
LIMIT ? OFFSET ?
""",
(limit, offset),
).fetchall()
embeddings = [base_embedding_row(row) for row in rows]
return build_result(embeddings, total, limit, offset)
finally:
db.close()
return {"error": f"Failed to open vector store: {e}", "embeddings": []}
embeddings = []
def export_with_vectors_from_table(
db: sqlite3.Connection,
limit: int,
offset: int,
) -> dict[str, Any]:
total_row = db.execute(
"""
SELECT COUNT(*) AS count
FROM embeddings e
INNER JOIN memories m ON m.id = e.source_id
WHERE e.source_type = 'memory'
"""
).fetchone()
total = int(total_row["count"]) if total_row else 0
rows = db.execute(
"""
SELECT
m.id,
m.content,
m.who,
m.importance,
m.type,
m.tags,
m.created_at,
e.vector,
e.dimensions,
e.source_type,
e.source_id
FROM embeddings e
INNER JOIN memories m ON m.id = e.source_id
WHERE e.source_type = 'memory'
ORDER BY m.created_at DESC
LIMIT ? OFFSET ?
""",
(limit, offset),
).fetchall()
embeddings: list[dict[str, Any]] = []
for row in rows:
memory_id = str(row["id"])
# Try to get vector from zvec
# Use a self-query: search for exact match
item = base_embedding_row(row)
item["sourceType"] = row["source_type"] or "memory"
item["sourceId"] = row["source_id"] or item["id"]
item["vector"] = to_vector(row["vector"], row["dimensions"])
embeddings.append(item)
return build_result(embeddings, total, limit, offset)
def export_with_vectors_via_embed(
db: sqlite3.Connection,
limit: int,
offset: int,
) -> dict[str, Any]:
sys.path.insert(0, str(AGENTS_DIR / "memory" / "scripts"))
try:
from embeddings import embed
except Exception as exc:
return build_result(
[], 0, limit, offset, f"Failed to load embeddings.py: {exc}"
)
total_row = db.execute("SELECT COUNT(*) AS count FROM memories").fetchone()
total = int(total_row["count"]) if total_row else 0
rows = db.execute(
"""
SELECT id, content, who, importance, type, tags, created_at
FROM memories
ORDER BY created_at DESC
LIMIT ? OFFSET ?
""",
(limit, offset),
).fetchall()
embeddings: list[dict[str, Any]] = []
for row in rows:
content = row["content"] if isinstance(row["content"], str) else ""
if not content:
continue
try:
# Unfortunately zvec doesn't have a direct get-by-id
# We'll use the memory content to search and verify ID
# For now, skip the vector data and just include metadata
# The UMAP will run client-side only if we have vectors
embeddings.append({
"id": memory_id,
"text": row["content"],
"who": row["who"] or "unknown",
"importance": row["importance"] or 0.5,
"tags": row["tags"],
"createdAt": row["created_at"],
# Vector will be loaded separately or we compute PCA server-side
})
vector, _ = embed(content)
except Exception:
continue
db.close()
return {"embeddings": embeddings, "count": len(embeddings)}
item = base_embedding_row(row)
item["vector"] = vector
embeddings.append(item)
return build_result(embeddings, total, limit, offset)
def export_with_vectors():
"""Export embeddings with actual vector data for UMAP."""
def export_with_vectors(limit: int, offset: int) -> dict[str, Any]:
if not DB_PATH.exists():
return {"error": "No database found", "embeddings": []}
if not ZVEC_PATH.exists():
return {"error": "No vector store found", "embeddings": []}
# Import embeddings module for re-embedding
sys.path.insert(0, str(AGENTS_DIR / "memory" / "scripts"))
from embeddings import embed
import yaml
# Load config
config_path = AGENTS_DIR / "config.yaml"
config = {}
if config_path.exists():
with open(config_path) as f:
config = yaml.safe_load(f)
# Open database
return build_result([], 0, limit, offset, "No database found")
db = sqlite3.connect(str(DB_PATH))
db.row_factory = sqlite3.Row
# Get all memories
rows = db.execute("""
SELECT id, content, who, importance, tags, created_at
FROM memories
ORDER BY created_at DESC
LIMIT 200
""").fetchall()
embeddings = []
for row in rows:
memory_id = str(row["id"])
content = row["content"]
try:
# Re-embed to get vector (cached by ollama)
vector, _ = embed(content, config)
embeddings.append({
"id": memory_id,
"text": content[:200], # Truncate for JSON size
"who": row["who"] or "unknown",
"importance": row["importance"] or 0.5,
"tags": row["tags"],
"createdAt": row["created_at"],
"vector": vector,
})
except Exception as e:
# Skip memories we can't embed
continue
db.close()
return {"embeddings": embeddings, "count": len(embeddings)}
try:
if table_exists(db, "embeddings"):
return export_with_vectors_from_table(db, limit, offset)
return export_with_vectors_via_embed(db, limit, offset)
finally:
db.close()
def main() -> None:
parser = argparse.ArgumentParser(description="Export embeddings for dashboard")
parser.add_argument(
"--with-vectors", action="store_true", help="Include vector arrays"
)
parser.add_argument("--limit", type=int, default=DEFAULT_LIMIT, help="Page size")
parser.add_argument("--offset", type=int, default=0, help="Page offset")
args = parser.parse_args()
limit = clamp_limit(args.limit)
offset = max(0, args.offset)
if args.with_vectors:
result = export_with_vectors(limit, offset)
else:
result = export_embeddings(limit, offset)
print(json.dumps(result))
if __name__ == "__main__":
# If --with-vectors flag, include vector data
if len(sys.argv) > 1 and sys.argv[1] == "--with-vectors":
result = export_with_vectors()
else:
result = export_embeddings()
print(json.dumps(result))
main()