bernstein
https://github.com/sipyourdrink-ltd/bernstein
Python
Deterministic orchestrator for 30+ CLI AI coding agents. Git worktree isolation, HMAC audit trail, MCP server mode.
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- Issues
- govern propose: let the operator's own model draft a playbook, recorded as a proposal it cannot apply
- govern apply: execute a reviewed plan and bind the outcome to the plan that was reviewed
- External policy engines are bridged but no decision path consults them, and an unreachable engine reads as "no rule matched"
- A bernstein run is invisible to the lineage stack an operator already runs: export the chain as OpenLineage events
- NIST AI RMF is the framework our packs do not map: derive per-subcategory evidence from the chain
- Escalation ladder advanced only by verified failure evidence
- replay: a key miss during replay is a divergence verdict, not a FIFO guess
- Preprint "Receipts, Not Logs": seeking an arXiv endorsement (cs.CR) and skeptical readers
- CI: Speed up unit test runtime by increasing shards and parallel workers
- Production webhook routes bypass the trigger rules engine, so triggers.yaml silently does not govern real events
- Docs
- Python not yet supported