Evan Hu
afcb260554
All plugins are stdlib-only Python with no external dependencies. - auto-summarizer: extractive conversation summary for long context compression, persists per-agent summaries to disk - conversation-logger: JSONL audit logs per agent with ISO 8601 timestamps, auto-creates log directory tree - guardrails: safety filter detecting PII (email, phone, SSN, CC), prompt injection patterns, and credential exposure via regex - keyword-memory: extracts entities (emails, URLs, dates, technical terms like camelCase/snake_case/dotted identifiers) as memories - sentiment-tracker: keyword-based sentiment scoring with intensifiers and negation handling, only injects context for non-neutral sentiment - todo-tracker: detects action items via 7 task patterns, tracks completion, deduplicates, persists per-agent with 20-item FIFO limit
1.4 KiB
auto-summarizer
Maintains a running conversation summary to help agents handle long conversations without losing context. Uses extractive summarization (no ML or external dependencies) to identify the most important parts of a conversation.
How it works
After each conversation turn, the plugin scans all messages and extracts:
- Topic opener -- the first user message that started the conversation
- Questions -- any messages containing questions (detected via
?) - Decisions -- messages with conclusion/decision language ("let's", "decided", "the plan is", etc.)
- Recent context -- the last 2 exchanges to preserve immediate context
These are combined into a compact summary (max 500 characters) and persisted to disk. On the next ingest, the summary is returned as a memory fragment so the agent retains awareness of the full conversation.
Summarization only activates when the conversation exceeds 6 messages -- shorter conversations are passed through as-is.
Hooks
| Hook | Script | Description |
|---|---|---|
| ingest | hooks/ingest.py |
Returns the stored conversation summary as a memory fragment |
| after_turn | hooks/after_turn.py |
Builds and persists an extractive summary of the conversation |
Storage
Summaries are stored at ~/.librefang/plugins/auto-summarizer/{agent_id}.summary.
Usage
Installed automatically when enabled in agent configuration.