Agent Orchestrator — The Orchestration Layer for Parallel AI Agents

Spawn parallel AI coding agents, each in its own git worktree. Agents autonomously fix CI failures, address review comments, and open PRs — you supervise from one dashboard.

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Agent Orchestrator manages fleets of AI coding agents working in parallel on your codebase. Each agent gets its own git worktree, its own branch, and its own PR. When CI fails, the agent fixes it. When reviewers leave comments, the agent addresses them. You only get pulled in when human judgment is needed.

Agent-agnostic (Claude Code, Codex, Aider) · Runtime-agnostic (tmux, Docker) · Tracker-agnostic (GitHub, Linear)

See it in action

Quick Start

Prerequisites: Node.js 20+, Git 2.25+, tmux, gh CLI. Install tmux via brew install tmux (macOS) or sudo apt install tmux (Linux).

Install

npm install -g @composio/ao

Permission denied? Install from source?

If npm install -g fails with EACCES, prefix with sudo or fix your npm permissions.

To install from source (for contributors):

git clone https://github.com/ComposioHQ/agent-orchestrator.git
cd agent-orchestrator && bash scripts/setup.sh

Start

Point it at any repo — it clones, configures, and launches the dashboard in one command:

ao start https://github.com/your-org/your-repo

Or from inside an existing local repo:

cd ~/your-project && ao start

That's it. The dashboard opens at http://localhost:3000 and the orchestrator agent starts managing your project.

Add more projects

ao start ~/path/to/another-repo

How It Works

1. You start — ao start launches the dashboard and an orchestrator agent
2. Orchestrator spawns workers — each issue gets its own agent in an isolated git worktree
3. Agents work autonomously — they read code, write tests, create PRs
4. Reactions handle feedback — CI failures and review comments are automatically routed back to the agent
5. You review and merge — you only get pulled in when human judgment is needed

The orchestrator agent uses the AO CLI internally to manage sessions. You don't need to learn or use the CLI — the dashboard and orchestrator handle everything.

Configuration

ao start auto-generates agent-orchestrator.yaml with sensible defaults. You can edit it afterwards to customize behavior:

# agent-orchestrator.yaml
# Runtime data is auto-derived under ~/.agent-orchestrator/{hash}-{projectId}/
port: 3000

defaults:
  runtime: tmux
  agent: claude-code
  workspace: worktree
  notifiers: [desktop]

projects:
  my-app:
    repo: owner/my-app
    path: ~/my-app
    defaultBranch: main
    sessionPrefix: app

reactions:
  ci-failed:
    auto: true
    action: send-to-agent
    retries: 2
  changes-requested:
    auto: true
    action: send-to-agent
    escalateAfter: 30m
  approved-and-green:
    auto: false # flip to true for auto-merge
    action: notify

CI fails → agent gets the logs and fixes it. Reviewer requests changes → agent addresses them. PR approved with green CI → you get a notification to merge.

See agent-orchestrator.yaml.example for the full reference, or run ao config-help for the complete schema.

Plugin Architecture

Seven plugin slots. Lifecycle stays in core.

Slot	Default	Alternatives
Runtime	tmux	process
Agent	claude-code	codex, aider, opencode
Workspace	worktree	clone
Tracker	github	linear, gitlab
SCM	github	gitlab
Notifier	desktop	slack, discord, composio, webhook, openclaw
Terminal	iterm2	web

All interfaces defined in packages/core/src/types.ts. A plugin implements one interface and exports a PluginModule. That's it.

Why Agent Orchestrator?

Running one AI agent in a terminal is easy. Running 30 across different issues, branches, and PRs is a coordination problem.

Without orchestration, you manually: create branches, start agents, check if they're stuck, read CI failures, forward review comments, track which PRs are ready to merge, clean up when done.

With Agent Orchestrator, you: ao start and walk away. The system handles isolation, feedback routing, and status tracking. You review PRs and make decisions — the rest is automated.

Documentation

Doc	What it covers
Setup Guide	Detailed installation, configuration, and troubleshooting
CLI Reference	All ao commands (mostly used by the orchestrator agent)
Examples	Config templates (GitHub, Linear, multi-project, auto-merge)
Development Guide	Architecture, conventions, plugin pattern
Contributing	How to contribute, build plugins, PR process

Development

pnpm install && pnpm build    # Install and build all packages
pnpm test                      # Run tests (3,288 test cases)
pnpm dev                       # Start web dashboard dev server

See docs/DEVELOPMENT.md for code conventions and architecture details.

Contributing

Contributions welcome. The plugin system makes it straightforward to add support for new agents, runtimes, trackers, and notification channels. Every plugin is an implementation of a TypeScript interface — see CONTRIBUTING.md and the Development Guide for the pattern.

License

MIT