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
9 lines
256 B
TOML
9 lines
256 B
TOML
name = "auto-summarizer"
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version = "0.1.0"
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description = "Maintains a running conversation summary to help agents handle long conversations without losing context"
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author = "librefang"
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[hooks]
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ingest = "hooks/ingest.py"
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after_turn = "hooks/after_turn.py"
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