Chisle
The coding-agent plugin that bills 52% of a bare model across 20 live tasks. Terse persona + tool-output compressor + context diet.
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Run AI agents in parallel in isolated workspaces - on your laptop or a server. Connect from a browser or the native app. Works with Claude, Codex, OpenCode, Cursor, Pi, Command Code, Grok, and Kimi Co
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開発ツールTypeScript · RustGitHub @coollabsio接続状況の再確認が必要です所有者未確認
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A dev environment for AI agents.
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A desktop AI assistant for managing multiple projects, worktrees, and chat sessions with Claude CLI, Codex CLI, Cursor CLI, OpenCode, PI, Command Code, Grok, and Kimi Code.
Jean is an opinionated native desktop app built with Tauri that gives you a powerful interface for working with Claude CLI, Codex CLI, Cursor CLI, OpenCode, PI, Command Code, Grok, and Kimi Code across multiple projects. It has strong opinions about how AI-assisted development should work - managing git worktrees, chat sessions, terminals, GitHub and Linear integrations in one cohesive workflow.Read the full README ↗A dev environment for AI agents. Run Claude, Codex, Cursor, OpenCode, Pi, Command Code, Grok, Kimi Code, Antigravity, and Muse in parallel - each in its own git worktree - on your laptop or your own server.
Tauri v2 · React 19 · Rust · TypeScript · Tailwind CSS v4 · shadcn/ui v4 · Zustand v5 · TanStack Query · Pierre Diffs · xterm.js
Jean is an opinionated AI agent workspace. It has strong opinions about how AI-assisted development should work: every task gets its own git worktree, agents run in parallel, and git work, reviews, terminals, and GitHub, Linear, and Sentry integrations live in one cohesive workflow.
Run it as a native desktop app, as a headless jean-server on Linux, or both: the desktop app shows local and remote projects together in one sidebar, grouped by server.
No vendor lock-in. Jean uses your own CLI installations and subscriptions, and everything runs on machines you control.
For more information, take a look at jean.build.
/goal tracking, session recap/digest, saved contexts with AI summarization, archiving with retention settings, recovery, auto-naming, canvas viewsCmd/Ctrl+Shift+B), usage and token trackingjean-server instances to the desktop app (or install one over SSH); their projects appear next to your local ones and every action runs on the server that owns the projectDownload the latest version from the GitHub Releases page or visit jean.build.
brew tap coollabsio/jean
brew install --cask jean
Prerequisites:
kernel32.lib and other system libraries required by Rust)See CONTRIBUTING.md for full development setup and guidelines.
Every Jean instance can run Web Access: an embedded HTTP + WebSocket server that serves the same UI in a browser. That applies to both:
| Mode | How you get Web Access |
|---|---|
| Native desktop (macOS / Windows / Linux) | Settings → Web Access - enable the HTTP server, set port/bind address, copy the token URL |
Headless server (jean-server) | Always on - the process is the Web Access endpoint |
Use it to open Jean from another machine on your LAN, a phone/tablet browser, or a remote host. Token authentication is on by default; keep it enabled for any non-localhost bind.
Web Access binds a normal TCP port (default 3456). For access beyond the local machine, prefer a private mesh VPN rather than exposing the port to the public internet:
jean-server --host 127.0.0.1 plus tailscale serve --bg 3456 so the
browser gets real HTTPS (clipboard and other secure-context APIs work).
Binding the Tailscale IP directly (--host tailscale) is HTTP-only and
browsers will treat it as an insecure origin.127.0.0.1This is the beginning of the README. Read the rest at the original. Read the full README ↗