Now I have enough context. Let me create the 5-line summary:

- **Purpose**: Interactive AI agent framework with workflow orchestration, persona library, and OpenRouter integration built on LangGraph/LangChain.
- **Core layers**: CLI (Typer) → API (FastAPI) → Engine (workflow orchestration) → Persistence (SQLAlchemy + Postgres) → LLM (OpenRouter/OpenAI).
- **Key features**: Multi-turn sessions with LangGraph state checkpointing, approval gates, artifact validation, cost tracking, and skill injection.
- **Extensibility**: Persona binding system, middleware stack (audit/cost/artifact), governance/consent framework, and sub-agent spawning.
- **UX**: Web UI with SSE streaming, markdown rendering, collapsible system events, and interactive slash commands for workflows.