burr (apache/burr) is an open-source AI project on GitHub. Repository summary: Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure. Its focus includes workflow automation. It is suitable for extension, integration, and iterative delivery in real workflows.
License
Apache-2.0
Stars
1,996
Homepage
https://burr.apache.org/Features
- Core capability: Build applications that make decisions (chatbots, agents, simulations, etc...). Monitor, trace, persist, and execute on your own infrastructure.
- Supports orchestrated automation flows and scheduling
- Repository: apache/burr
- Primary language: Python
- Open-source license: Apache-2.0
- GitHub traction: about 1,994 stars
Use Cases
- Used for cross-system process automation and operations efficiency
- Build internal AI workflow prototypes with burr
- Validate burr in production-like engineering scenarios
- Building enterprise process automation
- Cross-system collaborative task execution
- Integrating operations data pipelines
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/apache/burr. Community traction is around 1,994 stars. License: Apache-2.0.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for cross-system process automation and operations efficiency, Build internal AI workflow prototypes with burr, Validate burr in production-like engineering scenarios.
