Evan Hu
5e4fc2ccf3
The daemon's `manifest_missing_integrity_hooks` check (#3804) hard-fails any registry install whose plugin.toml declares hooks but lacks an [integrity] entry for each one. All 11 plugins under plugins/ had the [hooks] table but were missing [integrity], so `librefang plugin install <name>` would error after download with "missing [integrity] hashes for hook script(s): ...". Compute and pin SHA-256 over each `hooks/*.py` under every plugin dir. The mempalace-indexer entries were already present and are unchanged (reordered alphabetically by the regenerator). Verified each plugin.toml still parses (Python tomllib).
episodic-memory
Episode-based conversation segmentation and cross-session recall. Automatically detects topic shifts to split conversations into discrete episodes, then recalls relevant past episodes when similar topics arise.
How it works
After each turn, the plugin tracks a "current episode" with accumulated keywords. When the Jaccard similarity between the current turn's keywords and the running episode keywords drops below 0.1 (and the episode has at least 4 messages), it marks the episode as completed with a summary and starts a new one.
On ingest, the plugin scores all completed episodes against the incoming message keywords and returns the top 2 matches (overlap > 0.2) as contextual memories including the episode timestamp and summary.
This gives agents episodic recall -- "last time we discussed Docker deployment, we configured nginx as a reverse proxy."
Hooks
| Hook | Script | Description |
|---|---|---|
| ingest | hooks/ingest.py |
Scores completed episodes against message keywords, returns top matches |
| after_turn | hooks/after_turn.py |
Tracks current episode, detects topic shifts, segments conversations |
Storage
Episodes are stored at ~/.librefang/plugins/episodic-memory/{agent_id}.json. Max 30 completed episodes per agent (oldest evicted when full).
Usage
Installed automatically when enabled in agent configuration.