The open-source governance layer for AI agents. No model in the coordination loop, so replaying a plan reproduces its task graph byte-identically, and run receipts are byte-identical across independent builds. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline, without rerunning it. Runs Claude Code, Codex, Gemini CLI, and 40+ CLI agents; governs any deliverable from code to research to audit evidence packs. Cluster mode, air-gap deploy.
PyPI publishes no adoption figure, so there is no growth to derive. Nothing is estimated in its place.
7 days
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30 days
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90 days
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1 year
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Adoption history
Adoption history
PyPI publishes no adoption count, so there is no history to chart. That is a fact about the registry, not a gap in ours: the package’s releases and maintenance are measured instead.
The open‑source AI Agents Governance & Orchestration framework: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run