continual-learning

Continual learning

Contract

Inputs

• Prior chat transcripts or session logs accessible in the local workspace (required).
• Existing AGENTS.md (required, read before mutation).
• The continual-learning index at .continual-learning/index.json (required, read before mutation). The index schema is a JSON object with an array of entries, each carrying fact, source_session, date, and category (one of decision, convention, constraint, resolved-problem, project-knowledge).
• Update scope or focus filter (optional).

Procedure

1. On a scheduled tick or watcher event, enumerate accessible prior chat transcripts and session logs in the local workspace. Done when: every accessible transcript and log is enumerated.
2. Read the current AGENTS.md and .continual-learning/index.json to establish the existing memory baseline. Done when: the existing memory baseline is read and the current set of recorded facts is known.
3. Extract candidate memory facts from the transcripts: decisions, conventions, constraints, resolved problems, and project-specific knowledge. Done when: candidate facts are extracted from every transcript.
4. Deduplicate each candidate against the existing baseline; drop entries that duplicate, contradict without new evidence, or restate lower-signal information already recorded. Done when: every candidate is deduplicated against the baseline.
5. Apply the high-signal gate. A candidate passes when it meets one of: records a decision that changed project direction, establishes a convention or constraint that governs future work, resolves a problem that recurred or is likely to recur, or captures project-specific knowledge not derivable from the codebase. Drop candidates that restate obvious or one-off information. Done when: every surviving candidate is classified and only high-signal entries remain.
6. Capture the prior state of AGENTS.md and the index before writing, so the update can be rolled back. Apply the deduplicated high-signal updates to AGENTS.md and .continual-learning/index.json as local writes only. Done when: the high-signal updates are written and the prior state is captured.
7. If no candidate survives deduplication and the gate, record an explicit no-update result. Done when: a no-update result is recorded or updates are applied.