When the AO dashboard is served behind a reverse proxy (e.g. Caddy -> FastAPI -> Next.js), the browser cannot reach the direct terminal WebSocket server on port 14801. The connection attempt to wss://hostname:14801/ws times out, leaving terminals stuck at 'Connecting...'. Fix: detect when running on a standard port (443/80, indicating a reverse proxy) and use a path-based WebSocket endpoint (/ao-terminal-ws) instead of the direct port. This allows the proxy to forward WebSocket connections to the terminal server. Supports three modes: 1. NEXT_PUBLIC_TERMINAL_WS_PATH env var (explicit path override) 2. Auto-detect reverse proxy (standard port -> /ao-terminal-ws) 3. Direct port access (dev mode, non-standard port -> :14801) |
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|---|---|---|
| .changeset | ||
| .cursor | ||
| .github/workflows | ||
| .husky | ||
| artifacts | ||
| changelog | ||
| docs | ||
| examples | ||
| packages | ||
| scripts | ||
| tests/integration | ||
| .gitignore | ||
| .gitleaks.toml | ||
| .npmrc | ||
| .prettierignore | ||
| .prettierrc | ||
| ARCHITECTURE.md | ||
| CLAUDE.md | ||
| DASHBOARD_FIXES_SUMMARY.md | ||
| LICENSE | ||
| README.md | ||
| SECURITY.md | ||
| SETUP.md | ||
| TROUBLESHOOTING.md | ||
| agent-orchestrator.yaml.example | ||
| eslint.config.js | ||
| package.json | ||
| pnpm-lock.yaml | ||
| pnpm-workspace.yaml | ||
| test-ao-config.yaml | ||
| test-ao-config2.yaml | ||
| tsconfig.base.json | ||
README.md
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.
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)
Quick Start
Option A — From a repo URL (fastest):
# Install
git clone https://github.com/ComposioHQ/agent-orchestrator.git
cd agent-orchestrator && bash scripts/setup.sh
# One command to clone, configure, and launch
ao start https://github.com/your-org/your-repo
Auto-detects language, package manager, SCM platform, and default branch. Generates agent-orchestrator.yaml and starts the dashboard + orchestrator.
Option B — From an existing local repo:
cd ~/your-project && ao init --auto
ao start
Then spawn agents:
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
- Workspace creates an isolated git worktree with a feature branch
- Runtime starts a tmux session (or Docker container)
- Agent launches Claude Code (or Codex, or Aider) with issue context
- Agent works autonomously — reads code, writes tests, creates PR
- Reactions auto-handle CI failures and review comments
- 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)
ghCLI (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