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ericzakariasson
ac93d26be3
Keep the parent skill orchestration-only and move transcript mining plus AGENTS.md updates into agents-memory-updater so the plugin matches the final staging flow. Made-with: Cursor
72 lines
2.2 KiB
Markdown
72 lines
2.2 KiB
Markdown
# Continual Learning
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Automatically and incrementally keeps `AGENTS.md` up to date from transcript changes.
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The plugin combines:
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- A `stop` hook that decides when to trigger learning.
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- A `continual-learning` skill that orchestrates the learning flow.
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- An `agents-memory-updater` subagent that mines new or changed transcripts and updates `AGENTS.md`.
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It is designed to avoid noisy rewrites by:
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- Reading existing `AGENTS.md` first and updating matching bullets in place.
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- Processing only new or changed transcript files.
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- Writing plain bullet points only (no evidence/confidence metadata).
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## Installation
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```bash
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/add-plugin continual-learning
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```
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## How it works
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On eligible `stop` events, the hook may emit a `followup_message` that asks the agent to run the `continual-learning` skill.
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The skill is marked `disable-model-invocation: true`, so it will not be auto-selected during normal model invocation. When it does run, it delegates the full memory update flow to `agents-memory-updater`.
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The hook keeps local runtime state in:
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- `.cursor/hooks/state/continual-learning.json` (cadence state)
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The updater uses an incremental transcript index at:
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- `.cursor/hooks/state/continual-learning-index.json`
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## Trigger cadence
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Default cadence:
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- minimum 10 completed turns
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- minimum 120 minutes since the last run
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- transcript mtime must advance since the previous run
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Trial mode defaults (enabled in this plugin hook config):
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- minimum 3 completed turns
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- minimum 15 minutes
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- automatically expires after 24 hours, then falls back to default cadence
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## Optional env overrides
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- `CONTINUAL_LEARNING_MIN_TURNS` (or legacy `CONTINUOUS_LEARNING_MIN_TURNS`)
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- `CONTINUAL_LEARNING_MIN_MINUTES` (or legacy `CONTINUOUS_LEARNING_MIN_MINUTES`)
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- `CONTINUAL_LEARNING_TRIAL_MODE` (or legacy `CONTINUOUS_LEARNING_TRIAL_MODE`)
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- `CONTINUAL_LEARNING_TRIAL_MIN_TURNS` (or legacy `CONTINUOUS_LEARNING_TRIAL_MIN_TURNS`)
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- `CONTINUAL_LEARNING_TRIAL_MIN_MINUTES` (or legacy `CONTINUOUS_LEARNING_TRIAL_MIN_MINUTES`)
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- `CONTINUAL_LEARNING_TRIAL_DURATION_MINUTES` (or legacy `CONTINUOUS_LEARNING_TRIAL_DURATION_MINUTES`)
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## Output format in AGENTS.md
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The memory updater writes only:
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- `## Learned User Preferences`
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- `## Learned Workspace Facts`
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Each item is a plain bullet point.
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## License
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MIT
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