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Bernstein
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Bernstein is an open-source alternative to commercial agent platforms. It orchestrates multiple AI coding agents working on the same repo in parallel - each isolated in its own git worktree so they never step on each other. The scheduler is pure deterministic Python (zero LLM tokens spent on coordination). A built-in janitor runs tests, linting, and type checks on every agent's work before it merges. Supports 18+ CLI agents including Claude Code, Codex, Gemini CLI, and Aider. Apache 2.0 licensed.
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Bernstein's answer:
Bernstein is the only orchestrator that uses deterministic code for scheduling instead of an LLM. Every other multi-agent framework (CrewAI, AutoGen, LangGraph) burns tokens deciding what to assign where. Bernstein spends zero tokens on coordination - the Python scheduler makes auditable, reproducible decisions. It also isolates every agent in its own git worktree, so agents never stomp on each other's files.
Bernstein's answer:
Bernstein's answer:
Bernstein's answer:
Named after Leonard Bernstein, the conductor. The idea came from trying to coordinate three AI coding agents on the same codebase and watching them destroy each other's work. The first version used an LLM to schedule the other LLMs - it was slow, expensive, and hallucinated priorities. Replacing it with deterministic Python was the breakthrough.
Bernstein's answer:
Bernstein's answer:
I set up Bernstein on a mid-size Python project to see if multi-agent orchestration lives up to the hype. It does. One command, multiple
Claude Code agents running in parallel, each in its own git worktree so they don't step on each other. The janitor verifies tests pass
before anything merges. What impressed me most: zero LLM tokens wasted on coordination โ the scheduler is pure Python. Went from running
one agent at a time to having 5 working simultaneously on different tasks. The TUI dashboard is a nice touch for monitoring what's
happening in real time.
Based on our record, Bernstein seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Orchestration primitives. A library or CLI you import into your own workflow. You don't see a window; you see a process you can pipe into other things. Examples: Bernstein (the project this blog belongs to โ 18 CLI adapters, Python-importable), Workz, certain configurations of Plandex. LangGraph and CrewAI are adjacent but different โ they orchestrate LLM calls, not CLI coding agents. - Source: dev.to / 4 months ago
Cachely.dev - Cachely is a managed implementation of self-hosted remote cache for monorepos. Speed up CI, prove how much time and cost you saved, get build optimization suggestions, safe from cache poisoning (CVE-2025-36852). Turborepo and Bazel on the roadmap.
TeamHero - Open-source multi-agent orchestration platform powered by Claude CLI. Build and manage a team of AI agents from a single dashboard. - sagiyaacoby/TeamHero
GitKraken - The intuitive, fast, and beautiful cross-platform Git client.
agor - Orchestrate multiple AI coding agents with your team
Commonality - Turn your data into results with OKR software that empowers your teams to impact your bottom line.
fastn.ai - The no-code AI orchestration platform developers love
