Burr is a lightweight in-process python framework that standardizes the expression and execution of state machines as action-driven graphs, while making graph execution easily observable. It is particularly suited for AI agent workflows, simulations, and other dynamic systems, and comes with a self-hostable observability UI that integrates with OpenTelemetry.
Resources: burr
Started: 2025-05-24; Last Status Update: 2025-05-24
Reporting: Monthly
Committers: 7
All Committers are PPMC members
Mentors: Kevin Ratnasekera (djkevincr), Ayush Saxena (ayushsaxena), PJ Fanning (fanningpj)
2025-05-24 Project enters incubation.
2025-05-24 Mailing lists were requested through self-service portal.
Developer mailing list: http://mail-archives.apache.org/mod_mbox/burr-dev
Commits mailing list: http://mail-archives.apache.org/mod_mbox/burr-commits
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