AIAny
AI Client2025
Icon for item

Maestro

Runs several AI coding agents — Claude Code, Codex, OpenCode — in parallel from one keyboard-driven desktop app, each on its own Git worktree. Playbooks batch markdown checklists, group chat coordinates agents, and a web server enables remote control.

Introduction

The bottleneck in agentic coding has quietly moved. A single agent like Claude Code is already capable on its own; the hard part now is running five of them at once without your terminal turning into chaos. Maestro takes that orchestration problem as its actual product — a desktop control room for a fleet of agents, not yet another agent.

What Sets It Apart
  • A Git worktree per session. Each agent edits an isolated branch checkout, so several agents can work the same repo in parallel without clobbering each other's files — the difference between true parallelism and three agents fighting over main.
  • Playbooks and Auto Run. Hand it a markdown checklist and it batches the items through an agent unattended; the project documents single sessions running roughly 24 hours straight, which is the real point of orchestration rather than chat.
  • Group chat across agents. One conversation can fan out to multiple agents, letting a planner and an implementer pass work back and forth instead of you copy-pasting between windows.
  • Keyboard-first, but reachable. A full CLI plus a built-in web server means you can start or check long runs from a phone or over SSH — not only from the desktop window where you launched them.
Who It's For

Great fit if you routinely drive multiple coding agents across several repos and live in keyboard shortcuts; it is built for power users juggling parallel, long-running work and wanting cost and token tracking in one place. Look elsewhere if you only reach for one agent occasionally, want a hosted web tool rather than an installed TypeScript desktop app, or need to avoid AGPL-3.0 licensing in downstream products.

Information

  • Websitegithub.com
  • OrganizationsRunMaestro
  • AuthorsPedram Amini, RunMaestro
  • Published date2025/11/23

Categories

More Items

GitHub
AI Agent2026

Provides a lightweight Python harness that turns LLMs into working agents with tool-use, skills, persistent memory, permission controls and multi-agent coordination. Ships with a CLI/React TUI, 43+ built-in tools, a plugin/skill system and the ohmo personal-agent for chat gateways. Best for developers prototyping agent workflows and multi-agent experiments.

GitHub
AI Model2026

Runs the Bonsai family of quantized LLMs locally (including vision-capable 27B): provides scripts and demo UIs to run 1-bit and ternary Bonsai models on macOS (Metal), Linux/Windows (CUDA/Vulkan/ROCm), or CPU, with long context, tool-calling and an optional Open WebUI agent demo.

GitHub
AI Client2025

Turns Chromium into a local-first AI browser with an embedded assistant that can summarise pages, extract structured data, automate web tasks, and run scheduled agents. Built as an open-source Chromium fork with 53+ built-in browser tools, 40+ app integrations, and support for BYO AI keys or fully local models (Ollama / LM Studio).