continual-learning

Continual Learning Keep AGENTS.md current using transcript deltas instead of full rescans. Inputs Transcript root: ~/.cursor/projects//agent-transcripts/ Existing memory file: AGENTS.md Incremental index: .cursor/hooks/state/continual-learning-index.json Workflow Read existing AGENTS.md first. Load incremental index if present. Discover transcript files and process only: new files not in index, or files whose mtime is newer than indexed mtime. Extract only high-signal, reusable information: recurring user corrections/preferences durable workspace facts Merge with existing bullets in AGENTS.md : update matching bullets in place add only net-new bullets deduplicate semantically similar bullets Write back the incremental index: store latest mtimes for processed files remove entries for files that no longer exist AGENTS.md Output Contract Keep only these sections:

Learned User Preferences

Learned Workspace Facts

Use plain bullet points only. Do not write evidence/confidence tags. Do not write process instructions, rationale, or metadata blocks. Inclusion Bar Keep an item only if all are true: actionable in future sessions stable across sessions repeated in multiple transcripts, or explicitly stated as a broad rule non-sensitive Exclusions Never store: secrets, tokens, credentials, private personal data one-off task instructions transient details (branch names, commit hashes, temporary errors) Incremental Index Format { "version" : 1 , "transcripts" : { "/abs/path/to/file.jsonl" : { "mtimeMs" : 1730000000000 , "lastProcessedAt" : "2026-02-18T12:00:00.000Z" } } }