jean
Jean is an open-source desktop and web application designed to orchestrate multiple AI coding agents across projects and git worktrees. Built with Tauri for a native desktop experience and a web-based interface, Jean allows developers to manage and coordinate popular coding agents like Claude, Codex, OpenCode, and Cursor simultaneously. The tool leverages git worktrees to enable parallel development on different branches, allowing each agent to work on isolated tasks without conflicts. Users can assign coding tasks, such as feature implementations, bug fixes, or code reviews, to different agents, and monitor their progress in real-time through a unified dashboard. Jean integrates with various AI backends, communicating with agents via their respective APIs or CLI interfaces. It maintains a local database of projects and tasks, providing history and context for ongoing work. The application aims to enhance developer productivity by reducing the overhead of switching between multiple terminal sessions and agent contexts. With its intuitive UI, developers can launch agents, inspect their outputs, and manage git operations seamlessly. Jean is actively developed with a vibrant community, evidenced by over 1,000 GitHub stars and frequent updates.
- Category
- AI Agents
- Pricing
- Open Source
Problem solved
Software developers often need to juggle multiple AI coding assistants for different tasks—such as writing features, fixing bugs, and reviewing code—across various projects. This leads to fragmented workflows, context switching, and inefficiency. Jean solves this by providing a single orchestrator to manage multiple coding agents in parallel, using git worktrees to isolate work and a unified interface to streamline the development process.
Use cases
- Running Claude Code and OpenCode simultaneously on different feature branches for a web application.
- Assigning Codex to fix bugs while another agent reviews pull requests across multiple repositories.
- Setting up a CI/CD pipeline where Jean orchestrates agents to generate test cases and documentation.
- Using multiple agents to prototype solutions in parallel and then merging the best approach.
- Managing a team of AI agents that work on distinct components of a monorepo using git worktrees.
Audience
- Developers
- ML Engineers
- Data Scientists
Pros
- Supports multiple popular coding agents (Claude, Codex, OpenCode, Cursor) out of the box.
- Provides both desktop and web interfaces for flexible usage.
- Leverages git worktrees for parallel agent execution without conflicts.
- Open source with active development and community support.
- Unified dashboard for monitoring and managing multiple agent tasks.
Cons
- Requires manual configuration and setup of agent APIs and environments.
- Dependent on external AI services, which may incur costs.
- Limited to coding-related tasks; not a general-purpose agent orchestrator.
Official website: https://github.com/coollabsio/jean
Canonical LambdaBase page: https://www.lambdabase.com/tools/jean