Hey folks!
I'm looking for beta users to try out Cerone — an AI Agent governance runtime.
It helps monitor, control, and enforce policies on AI agents at runtime, would love early feedback from anyone building with agents.
Install it via PyPI: pip install ceroneFull details & docs on the PyPI page: pypi.org/project/cerone
If you try it out, drop your feedback in the comments or reach out directly — every bit helps shape the roadmap!
pypi.org
Top comments (1)
Interesting direction.
A lot of agent governance tooling right now is still focused on policy definition instead of runtime enforcement.
The harder problem usually starts once agents are operating continuously across tools, environments, retries, and autonomous execution loops.
That’s where Governance Telemetry, Decision Boundaries, escalation persistence, and Stop Authority start becoming operationally important.
Especially if organizations need replay visibility into:
what executed,
what changed,
what triggered intervention,
and whether controls remained active during runtime.