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).
topic-memory
Topic-aware memory recall using keyword clustering. Tracks conversation topics per agent and recalls related context when similar topics arise in future conversations.
How it works
After each turn, the plugin extracts keywords from user and assistant messages, then either merges them into an existing topic cluster (Jaccard similarity > 0.3) or creates a new one. Each cluster stores a keyword set, a summary, a hit count, and a last-seen timestamp.
On ingest, the plugin scores all stored topic clusters against the incoming message keywords using Jaccard similarity and returns the top 3 matches (threshold > 0.15) as contextual memories.
This gives agents cross-conversation topic awareness -- if a user discussed Python async patterns last week, bringing up asyncio today will recall that context.
Hooks
| Hook | Script | Description |
|---|---|---|
| ingest | hooks/ingest.py |
Scores stored topics against message keywords, returns top matches |
| after_turn | hooks/after_turn.py |
Extracts keywords, merges or creates topic clusters |
Storage
Topic clusters are stored at ~/.librefang/plugins/topic-memory/{agent_id}.json. Max 50 clusters per agent (lowest hit-count evicted when full).
Usage
Installed automatically when enabled in agent configuration.