sipyourdrink-ltd/bernstein
The open-source governance layer for AI agents: write the rules declaratively, Bernstein enforces them and produces the verifiable, replayable record. Free, Apache-2.0. https://bernstein.run observed · 2026-09-03
Health v2 · maintenance only
78/100
- Activity 100
- Release rhythm 88
- Longevity 11
Flags: young
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.
- gap_med: 0.0
- age_days: 164
- days_rel: 2
- days_push: 0
- n_releases_24m: 151
Adoption not part of the score
1079 stars · 149 forks observed · 2026-09-03
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
Bernstein is a deterministic Python scheduler that orchestrates CLI coding agents (Claude Code, Codex, Gemini CLI, Aider, and 40+ more) running in parallel, each isolated in its own git worktree. It keeps the model out of the coordination loop so runs replay byte-identically, and provides signed lineage plus an opt-in HMAC audit chain that reviewers can verify offline.
Use cases
- run multiple cli coding agents in parallel on one codebase
- get deterministic, byte-identical replays of agent coding runs
- isolate each agent task in its own git worktree
- audit ai coding agent runs with a tamper-evident hmac log
- deploy agent orchestration on-prem or air-gapped
- gate agent-generated diffs on lint, types, and tests before merging
- orchestrate claude code, codex, and gemini cli from one scheduler
When to choose
- you run several coding agents in parallel and suffer nondeterministic merges
- you need reproducible, provable agent runs with signed lineage for compliance
- you want per-task git worktree isolation with quality gates before merge
- you need air-gapped or on-prem agent orchestration
- you want a model-free coordination loop so scheduling is deterministic
When to avoid
- you need a single-agent assistant rather than a multi-agent orchestrator
- you want the model itself to make coordination and routing decisions
- you need a fully stable tool - it is beta software built by a solo maintainer
- you prefer in-process plugin extensibility over subprocess-isolated adapters
Facets
cli-tool · maturity active
agent-framework workflow-automation developer-tools cli version-control security scheduling developer-tools large-language-models version-control security python cli self-hosted cross-platform agent-orchestrator deterministic-replay git-worktree audit-trail hmac-audit-log air-gap parallel-agents cli-coding-agents provenance reproducibility mcp-server multi-agent beta-software ai-agents automation linux macos docker
5 sources
- readme: https://github.com/sipyourdrink-ltd/bernstein · fetched 2026-09-03 · 9cfb71e90de7
- homepage: https://bernstein.run · fetched 2026-08-29 · 0038238fd0dd
- site_page: https://bernstein.run/about · fetched 2026-08-29 · 13c92c2ce703
- registry_pypi: https://pypi.org/pypi/bernstein/json · fetched 2026-08-29 · f7e92c755a5c
- site_page: https://bernstein.run/blog/v3-14-159-pi · fetched 2026-08-29 · 9877b6e0bb10
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| sipyourdrink-ltd/bernstein | main | 78 |
For agents
markdown · JSON · MCP: product_card(name="sipyourdrink-ltd/bernstein")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem