Apache Burr: Framework for Building Reliable AI Agents

Apache Burr (burr.apache.org) is an incubation project under the Apache Software Foundation that provides a framework for building AI agents with a focus on reliability. It uses a state machine model to represent agent workflows, enabling deterministic control and easy debugging. Key features include built-in observability with tracing, a web UI for monitoring runs, and integration with popular LLM providers and vector databases. Burr also supports human-in-the-loop patterns and conditional branching. The framework is designed to handle production-scale workloads and aims to reduce the fragility often seen in agent implementations. It is written in Python and leverages Pydantic for data validation.