Audit-grade multi-agent orchestration for CLI coding agents with HMAC-chained audit logs and deterministic scheduling.
bernstein is worth checking the docs before setup with strong trust signals. Check agent compatibility and use-case fit before adding it to your workflow.
npx skills add sipyourdrink-ltd/bernsteinRun the command in your terminal.
Confirm that the skill files were added to your agent workspace.
Check the README requirements before invoking the skill in your agent.
Repository setup guidance
Strong trust signals; still review the README and permissions before production use.
Last commit was about 96 days ago.
552 GitHub stars indicate community interest.
22 open issues signal maintenance load.
Apache-2.0 license detected.
3 security/trust notes recorded.
Setup difficulty is 4/5.
Vercel's official collection of packaged instructions and scripts that extend AI coding agent capabilities.
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Bernstein is a tool that runs multiple AI coding agents (like Claude Code or Codex) in parallel to solve a single task. It keeps a secure, tamper-proof log of every action, making it easy for compliance teams to review. Think of it as a conductor that ensures all AI agents work together reliably and transparently.
Bernstein is a deterministic Python scheduler that orchestrates a crew of CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more) against a single goal using parallel git worktrees. It features an HMAC-SHA256 audit chain per RFC 2104, providing tamper-evident records for every scheduling decision. The system includes bearer-token task server authentication, signed agent cards using detached JWS with Ed25519 keys, and per-artefact lineage tracking that links every file write back to its producer, inputs, prompt SHA, model, and cost. The scheduler is fully deterministic—no LLM in the coordination loop—ensuring replayable, predictable task graphs. Bernstein is designed for environments requiring auditability, compliance, and transparency, such as regulated industries or enterprise deployments.
552
Stars
46
Forks
22
Issues
Apache-2.0
License
Audit-grade multi-agent orchestration for CLI coding agents with HMAC-chained audit logs and deterministic scheduling.
DevOps engineers needing auditable automation, Compliance officers reviewing AI-assisted code changes, AI researchers experimenting with multi-agent coordination
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Requires access to multiple third-party AI services; data may be sent to external APIs HMAC keys must be managed securely to maintain audit integrity
Similar or complementary options to evaluate include Vercel Labs Agent Skills, supabase-agent-skills, anthropic-skills.
Aug 20, 2026