Bernstein – open-source governance layer for AI agents

Bernstein is an open-source (Apache 2.0) governance layer for AI agents in which a deterministic Python scheduler runs agents in parallel with no model in the coordination loop, so the same plan replays byte-identically. It enforces policy as code across four stages—decompose, spawn in isolated worktrees, verify via tests/types/lint and optional cross-model review, and merge only verified diffs—and writes an HMAC-chained audit log plus an optional Ed25519-signed run receipt that can be verified offline. The material cites v3.23.0 with 53 CLI adapters and describes Cloudflare Workers, Kubernetes and on-prem deployment options.