Agent Execution Engine
What it is
A self-hostable Python runtime for LLM agents that uses an explicit 12-state state machine to orchestrate tool calls, manage persistent memory, and provide observability. It exposes a REST API and an MCP server for integration, avoiding reliance on high-level frameworks like LangChain.
The problem it solves
High-level agent frameworks often lack the explicit control, observability, and reliability guarantees needed for production-grade autonomous agents.
What you could use it for
- Building reliable, observable AI agents that require complex tool orchestration
- Implementing persistent agent memory with session and user-scoped storage
- Integrating custom agent logic into existing systems via MCP or REST APIs
Read the source ↗Back to the library →
Summary written by an AI model from the source; check the source before you rely on it.