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Jean

AI agent dev environment with parallel git worktrees, magic git commands, and Linear integration.

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Jean is an open-source desktop dev environment for AI agents from coolLabs (the team behind Coolify). It runs multiple coding agents — Claude Code, Codex, and others — in parallel inside isolated git worktrees, each with its own chat session and terminal. Magic git commands handle commits, PR descriptions, code reviews, and merge conflicts with AI assistance, while built-in Linear and GitHub integrations load issue context into every session.

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Jean is a desktop dev environment built around the idea that AI-assisted development needs more than a chat panel inside an editor — it needs workspace isolation, parallelism, and tight git workflows. The app, from coolLabs (the team behind Coolify), wraps the CLI tools developers already authenticate with — Claude Code, Codex, and others — and runs each agent inside its own automatically-managed git worktree. Sessions, terminals, and chat windows sit side-by-side in one UI, so one agent can fix a bug on a feature branch while another reviews a PR on a separate worktree without changes colliding. The project is Apache 2.0, free forever, with a tested macOS build and Windows/Linux testers wanted.

What sets Jean apart is its opinionated set of git workflows. Magic Git Commands generate AI commit messages, PR descriptions, and release notes; track findings during code review; and resolve merge conflicts with AI — all driven by per-workflow Magic Prompts where the developer picks model and reasoning level (light model for commits, heavier for reviews). The Opinionated pane bundles two token-reduction plugins: RTK proxies CLI tool output to cut 60–90% of tool-output tokens, and Caveman trims Claude responses by ~65–75%. Multi-project and Linked Projects support means related repos auto-inject their CLAUDE.md, AGENTS.md, and docs/ into every session — cross-repo context without copy-paste. Linear is first-class for issue investigation and per-project API keys.

Jean fits the parallel-agent orchestration niche alongside Emdash, Conductor, Sculptor, and Superset. Where some lean terminal-multiplex or pure web UI, Jean sits in the desktop sweet spot: it carries the auth and capabilities of the underlying CLI tools while wrapping them in a UI that makes worktree management and PR workflows visual. Mobile access via localhost, Cloudflare Tunnel, or Tailscale lets developers monitor agents from a phone. coolLabs sustains development through GitHub Sponsors, Open Collective, and managed cloud services — no enterprise tier, no paywalls. For developers juggling multiple AI coding CLIs who want a unified cockpit instead of tmux panes and shell scripts, Jean is a credible open-source option.

Pricing

Free and open source under Apache 2.0. No paid tiers, no enterprise edition. coolLabs sustains development through GitHub Sponsors, Open Collective, and managed cloud services for their other projects.

Platforms

Desktop application. Tested on macOS; Windows and Linux builds available with testers wanted. Mobile access via localhost, Cloudflare Tunnel, or Tailscale.

Categories

AI Coding AssistantsProductivity & Workflow

Tags

claude codeAgent OrchestrationDesktop AppOpen SourceApache 2.0TypeScriptMulti-AgentParallel AgentsGit WorktreesLinear IntegrationToken ReductionCodex CLI

Use Cases

Agentic DevelopmentCode ReviewOpen Source Contribution

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Comparisons

Jean vs Conductor.build — Open-Source Multi-CLI Desktop vs Subscription-Tied Team Dashboard

Jean and Conductor.build both let you run multiple AI coding agents across git worktrees without drowning in terminal tabs, but the trade-offs split sharply. Jean is Apache 2.0 open-source from the Coolify team, auto-detects every coding CLI you have installed, and runs entirely on your machine. Conductor.build is a free closed-source macOS app that wraps your existing Claude or Codex subscription with a team-monitoring dashboard. The right choice depends on whether multi-CLI flexibility and open-source trust matter more than subscription-aware team visibility.

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