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
sentiment-tracker hooks
Python hook scripts for the sentiment-tracker plugin. Each script reads a JSON request from stdin and writes a JSON response to stdout.
Scripts
| Script | Hook | Description |
|---|---|---|
ingest.py |
ingest | Receives {"message": "..."}, analyzes sentiment, returns emotional context as a memory fragment |
Protocol
- Input: JSON object on stdin (fields vary by hook type)
- Output: JSON object on stdout (
ingest_resultwith memories, empty for neutral sentiment)