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
33 agent READMEs, 14 hand READMEs, 2 plugin READMEs
(echo-memory + hooks), and 2 skill READMEs
(custom-skill-prompt + custom-skill-python).
Each README documents the component's purpose, configuration,
and usage based on its TOML definition.
Each directory (agents, hands, integrations, plugins, providers,
scripts, skills) now has a README documenting its TOML format,
current contents, and contribution steps.
Evan Hu