Skip to content

emdgroup/maestro

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

1,372 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Maestro

Run multiple AI coding agents in parallel — without losing control.

Latest release Platform License



Drop tasks onto a Kanban board. Each one gets its own agent, its own git worktree, and its own terminal. They run in parallel. Nothing conflicts. When an agent finishes, review the diff hunk by hunk and commit what you want — all without leaving the app.


Install

Platform Download
macOS — Apple Silicon (M1/M2/M3/M4) Maestro_0.10.0_aarch64.dmg
Linux — x86_64 Maestro_0.10.0_amd64.AppImage ✓ recommended
Linux — x86_64 (no auto-update) Maestro_0.10.0_amd64.deb
Linux — arm64 Maestro_0.10.0_aarch64.AppImage
Windows — x86_64 Maestro_0.10.0_x64-setup.exe ✓ recommended
Windows — x86_64 (MSI) Maestro_0.10.0_x64_en-US.msi

The .dmg, .AppImage, and .exe installers include automatic in-app updates. The .deb package does not — Maestro will prompt you to download the new version when one is available.


Quick start

  1. Open Maestro and point it at a local git repository
  2. Create a task on the Kanban board — add a title and instructions
  3. Pick a model and click Run — the agent starts in an isolated worktree
  4. Watch the live terminal and activity feed as it works
  5. Review the diff hunk by hunk, stage what you want, commit in one click

Features

Parallel agents, zero conflicts

Each task runs in its own git worktree. Agents work independently — no branch conflicts, no clobbering each other's changes. Run as many as you want simultaneously.

Live visibility

Live terminal output, a structured activity feed, and a file tree — all updating in real time. You see exactly what every agent is doing at every step.

Surgical diff review

When an agent finishes, you get an inline diff viewer with hunk-level staging. Accept what you want, revert what you don't, commit in one click.

Remote execution

Connect Maestro to a remote Linux server over SSH, or to a WSL distro on Windows. Agents execute on the remote machine while you work locally. Password, key, and passphrase auth all supported.

Pull from your issue tracker

Sync tasks directly from GitHub Issues or Jira. Import a ticket, add instructions, hand it to an agent.

Your stack, your models

Pick the model per task. Configure MCP allowlists. Maestro stays out of the way.


Contributing

See CONTRIBUTING.md for setup, branch conventions, and PR guidelines.

Tech stack

Layer Technology
Frontend React 19, TypeScript, Vite, Tailwind CSS 4, shadcn/ui
State Zustand + Immer, TanStack Query
Terminal xterm.js
Desktop Tauri 2 (Rust)
Database SQLite (rusqlite)
SSH russh
Protocol ACP (Agent Client Protocol) via maestro-server sidecar
Type gen ts-rs + tauri-specta

Development commands

# Frontend
bun dev              # Vite dev server only (localhost:5173)
bun build            # TypeScript check + production build
bun lint             # oxlint
bun lint:fix         # Auto-fix lint issues
bun format           # Check formatting (oxfmt)
bun format:fix       # Fix formatting

# Testing
bun test             # Vitest unit tests
bun test <pattern>   # Single test file
bun test:e2e         # Playwright E2E tests
bun test:e2e:ui      # Playwright with interactive UI

# Rust backend
cd src-tauri && cargo build
cd src-tauri && cargo test
cd src-tauri && cargo check

# Tauri
bun tauri:dev        # Full dev mode (Tauri + Vite)
bun tauri:gen        # Regenerate TypeScript bindings from Rust models
bun tauri build      # Production bundle

# Cross-compile for Windows from Linux
bun tauri build --debug --runner cargo-xwin --target x86_64-pc-windows-msvc

Architecture

Three Rust crates in a Cargo workspace:

  • src-tauri — Tauri backend: IPC command handlers, SQLite DB, SSH tunneling, PTY management, ACP session coordination.
  • maestro-server — Agent runtime sidecar, automatically deployed at runtime.
  • maestro-protocol — Shared ACP protocol types.

See AGENTS.md for a full architecture walkthrough.


License

Apache-2.0

About

Orchestrate tasks execution on a kanban board using your coding agent of choice.

Resources

License

Code of conduct

Contributing

Stars

3 stars

Watchers

0 watching

Forks

Contributors

Languages