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

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

# Configure your project
cd ~/your-project && ao init --auto

# Launch and spawn an agent
ao start
ao spawn my-project 123    # GitHub issue, Linear ticket, or ad-hoc

Dashboard opens at http://localhost:3000. Run ao status for the CLI view.

How It Works

ao spawn my-project 123

1. Workspace creates an isolated git worktree with a feature branch
2. Runtime starts a tmux session (or Docker container)
3. Agent launches Claude Code (or Codex, or Aider) with issue context
4. Agent works autonomously — reads code, writes tests, creates PR
5. Reactions auto-handle CI failures and review comments
6. Notifier pings you only when judgment is needed

Plugin Architecture

Eight slots. Every abstraction is swappable.

Slot	Default	Alternatives
Runtime	tmux	docker, k8s, process
Agent	claude-code	codex, aider, opencode
Workspace	worktree	clone
Tracker	github	linear
SCM	github	—
Notifier	desktop	slack, composio, webhook
Terminal	iterm2	web
Lifecycle	core	—

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

Configuration

# agent-orchestrator.yaml
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.

CLI

ao status                              # Overview of all sessions
ao spawn <project> [issue]             # Spawn an agent
ao send <session> "Fix the tests"      # Send instructions
ao session ls                          # List sessions
ao session kill <session>              # Kill a session
ao session restore <session>           # Revive a crashed agent
ao dashboard                           # Open web dashboard

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 spawn and walk away. The system handles isolation, feedback routing, and status tracking. You review PRs and make decisions — the rest is automated.

Prerequisites

• Node.js 20+
• Git 2.25+
• tmux (for default runtime)
• gh CLI (for GitHub integration)

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 CLAUDE.md for code conventions and architecture details.

Documentation

Doc	What it covers
Setup Guide	Detailed installation and configuration
Examples	Config templates (GitHub, Linear, multi-project, auto-merge)
CLAUDE.md	Architecture, conventions, plugin pattern
Troubleshooting	Common issues and fixes

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 CLAUDE.md for the pattern.

License

MIT