Continuous Learning

Keep AGENTS.md current using transcript deltas instead of full rescans.

Inputs

• •Transcript root: ~/.cursor/projects/<workspace-slug>/agent-transcripts/
• •Existing memory file: AGENTS.md
• •Incremental index: .cursor/hooks/state/continuous-learning-index.json

Workflow

1. •Read existing AGENTS.md first.
2. •Load incremental index if present.
3. •Discover transcript files and process only:
   • •new files not in index, or
   • •files whose mtime is newer than indexed mtime.
4. •Extract only high-signal, reusable information:
   • •recurring user corrections/preferences
   • •durable workspace facts
5. •Merge with existing bullets in AGENTS.md:
   • •update matching bullets in place
   • •add only net-new bullets
   • •deduplicate semantically similar bullets
6. •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"
    }
  }
}