ijfw-auto-memorize

Solid

Session-end auto-extraction of lessons, errors, fixes, and user feedback into structured memory. Fires at session end. Requires consent on first run.

AI & Automation 184 stars 32 forks Updated yesterday MIT

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Skill Content

Fires at session end. Reads deterministic signals captured during the session and synthesizes structured memories. Nothing leaves the machine unless the user explicitly configured an API model via `IJFW_AUTOMEM_MODEL`. ## Consent gate (first run only) Before any synthesis, check `.ijfw/.automem-consent`: - If missing: ask the user once: *"IJFW can automatically extract lessons (errors hit, fixes applied, preferences you stated) at session end into local memory. OK? (y/n). Reply `y`, `n`, or `ask` (ask again next time)."* Write answer as `{"consented": true|false, "at": "<iso>"}` to `.ijfw/.automem-consent`. - If `"consented": false`: do nothing this session. - If `"consented": true`: proceed. ## Inputs (all local files) - `.ijfw/.session-signals.jsonl` -- ERROR/FAIL/Traceback lines captured by the PreToolUse hook (W3.6). - `.ijfw/.session-feedback.jsonl` -- corrections/confirmations/preferences detected by the UserPromptSubmit hook (W3.7). - `.ijfw/.prompt-check-state` -- last turn's intent + vague signals. - `.ijfw/memory/project-journal.md` -- existing entries (dedupe against these). - Transcript read via Claude Code's Stop-hook payload (`transcript_path`). ## Synthesis For each signal cluster: 1. **Redact secrets first.** Call `redactSecrets()` from `mcp-server/src/redactor.js` on every field that came from transcript or tool output. 2. **Cap sizes.** Run `applyCaps` from `mcp-server/src/caps.js`. content ≤4KB, why/how ≤1KB, summary ≤120. 3. **Dedupe.** Use BM25 sea...

Details

Author: FerroxLabs
Repository: FerroxLabs/ijfw
Created: 1 months ago
Last Updated: yesterday
Language: JavaScript
License: MIT

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