Apache Burr: Open-Source State Machine Framework for Building Reliable AI Agents
Original: Apache Burr: Build reliable AI agents and applications
Apache Burr is an open-source Python framework using state machines to build observable, production-ready AI agents and LLM applications.
Apache Burr provides a state-machine-based architecture for building reliable AI agents, making complex multi-step LLM workflows predictable and testable. It includes built-in tracing, observability, and a local visualization UI, allowing developers to replay and debug agent execution step by step. Model-agnostic and integrable with LangChain, LlamaIndex, and major LLM providers, it also supports state persistence and human-in-the-loop workflows for production use.
Apache Burr 是由 DAGWorks 團隊開發、並捐贈給 Apache Software Foundation 的開源 Python 框架，專門針對 AI Agent 與大型語言模型（LLM）應用在生產環境中的可靠性問題而設計。
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