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bernstein

Deterministic orchestrator for CLI coding agents (Claude Code, Codex, Gemini CLI, and 40+ more). No model in the coordination loop, so parallel runs in per-task git worktrees replay byte-identically. Signed lineage plus an opt-in HMAC audit chain a reviewer checks offline, without rerunning it. Cluster mode, air-gap deploy.

With conditionsPyPI Software DevelopmentReleased Aug 2026199.6K downloads / moApache-2.0Pure Python

Decision gist · record as of 2026-08-14

pure-Python wheel — bernstein-3.15.1-py3-none-any.whl
v3.15.1 · released 2026-08-14 · Python >=3.12 · 34 runtime deps: asn1crypto, cbor2, click, cryptography, defusedxml, fastapi, httpx, idna

Yes, if you are orchestrating multiple CLI coding agents and need deterministic replay, cryptographic auditability, and per-task isolation. The low install friction and active maintenance support the use case. No, if you need a stable API—beta status means minor versions may break interfaces, so pin carefully. No, if you are not using CLI agents or do not need replay and audit guarantees.AI-flagged interpretation of the facts on this page — verify before relying

Before you install

  • Requires Python 3.12 or later.
  • Requires at least one CLI agent installed and authenticated (e.g., Claude Code, Codex, Gemini CLI).
  • Git must be available for per-task worktree isolation.

License · maintenance · safety

Apache-2.0 (permissive) — Apache-2.0 permissive license; you can use, modify, and distribute freely in commercial and private projects, with attribution and no warranty.

last release 2026-08-14 (0 days) · last repo commit 2026-08-14 · 882 stars

0 known vulnerabilities (OSV.dev, 2026-08-14) · 199,587 downloads/mo, #9,704 on PyPI

Verify before relying

# Install
uv tool install bernstein  # or: pipx install bernstein

# Initialize and verify
bernstein init
bernstein doctor

# Run an agent task
bernstein -g "fix the failing test in tests/test_foo.py"

# Verify determinism
bernstein replay latest --verify
  • Whether all 40+ agent adapters are documented or discoverable in the package itself.
  • Performance characteristics when running many agents in parallel (latency, resource overhead).
  • Compatibility of the air-gap install profile with all runtime dependencies.
  • Whether the HMAC audit chain and signed receipts are suitable for regulated compliance workflows.
Same gist for agents: .md · .json

What it is and what it does

Bernstein is a deterministic orchestrator for running multiple CLI coding agents in parallel. It coordinates tasks without an LLM in the scheduling loop—meaning a run is reproducible byte-for-byte when replayed with the same inputs and agent outputs. Each coding task runs in its own git worktree, isolated by default; coordination state (the task backlog) is shared and claimed atomically. The package records every run in a replay journal and maintains an always-on lineage spine that tracks lineage-bearing steps; an optional HMAC-chained audit log adds cryptographic receipts you can verify offline without rerunning the orchestration.

It ships with adapters for Claude Code, Codex, Gemini CLI, and 40+ other agents, plus a generic `--prompt` wrapper. You can watch runs live via a terminal dashboard (`bernstein live`) or browser dashboard (`bernstein gui serve`), and verify determinism by replaying a recorded run and checking for divergence. The package includes air-gap deployment support and is built on fastapi, cryptography, and opentelemetry for observability. It's beta software, solo-maintained, and actively developed; minor versions may change interfaces.

Use it for

  • Run multiple coding agents on the same task in parallel and compare their outputs deterministically, with cryptographic proof of what each agent produced.
  • Verify that a multi-agent workflow produces identical results when replayed with the same inputs, catching non-determinism at the exact step it occurs.
  • Build compliance-auditable agent workflows where every step is signed and can be verified offline by a reviewer without access to live infrastructure.
  • Coordinate agent tasks across a cluster with per-task isolation, ensuring agents cannot interfere with each other's working directories or shared state.
  • Record and replay agent-driven code generation or testing workflows to debug failures or reproduce issues from a previous run.

Worth the install?

AI-flagged interpretation of the facts on this page. Verify before relying on it.

With conditions

Yes, if you are orchestrating multiple CLI coding agents and need deterministic replay, cryptographic auditability, and per-task isolation.

The low install friction and active maintenance support the use case. No, if you need a stable API—beta status means minor versions may break interfaces, so pin carefully. No, if you are not using CLI agents or do not need replay and audit guarantees.

Install

bernstein on PyPI

Before you install

Low friction: pure Python wheel with 34 runtime dependencies including fastapi, cryptography, and opentelemetry. Active maintenance (last commit 2026-08-14, 882 stars); beta status means minor versions may change interfaces—pin the version if you depend on it. Requires Python 3.12+.

Requires Python 3.12 or later. Requires at least one CLI agent installed and authenticated (e.g., Claude Code, Codex, Gemini CLI). Git must be available for per-task worktree isolation.

License in practice

Apache-2.0 permissive license; you can use, modify, and distribute freely in commercial and private projects, with attribution and no warranty.

Quickstart

# Install
uv tool install bernstein  # or: pipx install bernstein

# Initialize and verify
bernstein init
bernstein doctor

# Run an agent task
bernstein -g "fix the failing test in tests/test_foo.py"

# Verify determinism
bernstein replay latest --verify

Verify before relying

  • Whether all 40+ agent adapters are documented or discoverable in the package itself.
  • Performance characteristics when running many agents in parallel (latency, resource overhead).
  • Compatibility of the air-gap install profile with all runtime dependencies.
  • Whether the HMAC audit chain and signed receipts are suitable for regulated compliance workflows.

Package facts

LicenseApache-2.0 permissive
Python supportSupports the current Python release >=3.12
Install frictionLow. Pure-Python wheel
Runtime dependencies
34 packages
asn1cryptocbor2clickcryptographydefusedxmlfastapihttpxidnajsonschemakeyringmcpopenaiopentelemetry-apiopentelemetry-exporter-otlpopentelemetry-sdkpackagingpillowpluggyprometheus-clientpydantic-settingspyfigletpython-dotenvpython-frontmatterpyyamlreportlabrichsetproctitlesignxmlstarletteterminaltexteffects
MaintenanceActively maintained 0 days since the last release
Last repo commit
First released
Downloads199,587 / month, #9,704 on PyPI 30-day window, as of 2026-08-14
Known vulnerabilitiesNone known OSV.dev, checked 2026-08-14
Classifiers
Development Status :: 4 - BetaIntended Audience :: DevelopersIntended Audience :: System AdministratorsLicense :: OSI Approved :: Apache Software LicenseOperating System :: MacOSOperating System :: Microsoft :: WindowsOperating System :: OS IndependentOperating System :: POSIX :: LinuxProgramming Language :: PythonProgramming Language :: Python :: 3Programming Language :: Python :: 3 :: OnlyProgramming Language :: Python :: 3.12Programming Language :: Python :: 3.13Programming Language :: Python :: 3.14Topic :: Software DevelopmentTopic :: Software Development :: Build ToolsTopic :: Software Development :: Code GeneratorsTopic :: Software Development :: Quality AssuranceTopic :: System :: Distributed ComputingTyping :: Typed

Evidence: bernstein-3.15.1-py3-none-any.whl

Tags

Capabilities
multi-agent orchestration clideterministic agent replaycoding agent coordinationaudit trail provenance trackingparallel llm agent runnerreproducible workflow orchestrationagent task scheduling
Topics
agent-orchestrationdeterministic-replayaudit-trail
PyPI keywords
agentsaiauditautomationclicodingdeterministicdevtoolslineagellmmulti-agentorchestrationprovenancereplayworktree

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See also langgraph · google-agents-cli · opencode-agent-hub · trinity-agent · agent_governance_toolkit · ouroboros-ai · langgraph-supervisor · agent-framework-core · agentops · pydantic-deep

Further reading