What does Bernstein offer, including features and integrations?
Bernstein offers a deterministic scheduler with adapters for over 40 CLI coding agents, including Claude Code, Codex, and Gemini CLI. Its features include parallel execution in isolated git worktrees, verification gates for lint, types, and tests, HMAC audit logging for offline review, and it is open-source under Apache 2.0, installable via pipx, brew, uv, or Docker.
How is Bernstein priced or packaged?
Bernstein is open-source software available for free, with an installation cost of approximately $0 according to its documentation. It is sponsored by its maintainer, and users can contribute via code or sponsorship.
What is Bernstein and what problem does it solve?
Bernstein is a deterministic Python scheduler that runs CLI coding agents in parallel, solving the problem of orchestrating multiple coding tools while ensuring reproducible, auditable runs. It isolates each agent in its own git worktree and verifies lint, types, and tests before merging, so the same plan replays byte-identically without a model in the coordination loop.
What is Bernstein used for and in what situations?
Bernstein is used for running multiple CLI coding agents in parallel on a single codebase, such as Claude Code, Codex, or Gemini CLI. It is suitable for situations where developers need to decompose a task into roles, spawn isolated agents, verify their work with tests and lints, and merge only the verified diffs, particularly for complex coding or multi-model review workflows.
Who is Bernstein for?
Bernstein is for developers and technical teams who need to orchestrate multiple CLI-based coding agents for parallel tasks. It is a developer tool categorized under Developer & AI Platforms, designed for users who want to manage, verify, and merge code from various AI coding assistants in a controlled, reproducible manner.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.