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11 plugins from github.com/librefang/librefang-registry plugins/. index.json / index.json.sig are signed with Arka's Ed25519 key (not upstream stats.librefang.ai). Private key is not in this repo.
context-decay
Time-based memory decay with relevance scoring. Memories lose confidence over time (5% per day) and are only recalled when they pass both a decay threshold and a relevance check against the current message. Implements "use it or lose it" -- recalled memories get their access timestamps refreshed.
How it works
After each turn, the plugin extracts memorable statements from the conversation:
- User preferences ("I prefer...", "I use...")
- Decisions ("let's use...", "we decided...")
- Important facts (names, versions, URLs)
- Corrections ("no, actually...", "that's wrong...")
Similar memories are reinforced (confidence +0.1, cap 1.0). All memories receive a decay pass, and those below 0.1 confidence are pruned.
On ingest, each memory's confidence is decayed based on time elapsed, then scored for relevance to the current message via keyword overlap. The composite score decayed_confidence * (0.5 + 0.5 * relevance) must exceed 0.3 to be recalled. Recalled memories get their last_accessed timestamp updated.
Hooks
| Hook | Script | Description |
|---|---|---|
| ingest | hooks/ingest.py |
Applies decay, scores relevance, returns top 5 memories above threshold |
| after_turn | hooks/after_turn.py |
Extracts new memories, reinforces similar ones, prunes decayed entries |
Storage
Memories are stored at ~/.librefang/plugins/context-decay/{agent_id}.json. Max 100 memories per agent. Decay formula: confidence * 0.95^(hours / 24).
Usage
Installed automatically when enabled in agent configuration.