AgentWrapper/agent-orchestratorPublic

Agent IDE that enables you to manage fleets of coding agents. It comes with an agentic orchestrator that plans tasks, spawns agents, and autonomously handles CI fixes, merge conflicts, and code reviews.

AI summary: Backend architecture and orchestration engine for AI agent workflows.

Stars
8.6K
Forks
1.3K
Watchers
29
Open issues
256
Open PRs
196
Contributors
~80
Commits
1.9K
Branches
848

GoApache-2.0Created Feb 13, 2026Last push 10d agoLatest release v0.11.0

Star history

since Jun 7, 2026
02.5K5K7.5KJun 2026Jun 2026Jul 2026Jul 2026
8.6K stars as of Jul 28, 2026, tracked back to Jun 7, 2026. Historical curve reconstructed from public GitHub event archives, calibrated to the current total.

Contribution activity

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1,701 commits in the last yearLessMore

Signals and awards

derived from tracked data
  • Outside contributions

    91% of recent commits from the community

  • Permissive license

    Apache-2.0

  • Continuous integration

    Automated checks passing

What agent-orchestrator does

Agent Orchestrator (AO) is a backend framework for managing the lifecycle, persistence, and state derivation of AI agents. It provides a robust control plane that tracks agent tasks, handles change data capture (CDC) for state updates, and isolates daemon boundaries. By decoupling the orchestration logic from the specific agent implementations, it enables developers to build reliable, long-running agentic workflows that can recover from failures and maintain context over time.

Backend engineers and AI platform developers building scalable, production-ready infrastructure for autonomous agents.

  • Lifecycle management: Tracks the complete lifecycle of agent tasks from initialization to completion or failure.
  • State persistence: Persists agent context and intermediate steps to ensure workflows can be paused and resumed.
  • Change Data Capture (CDC): Implements CDC patterns to react to state changes in real-time across the agent ecosystem.
  • Daemon isolation: Enforces strict boundaries between agent daemons to prevent cascading failures.
  • Status derivation: Automatically derives higher-level operational status from granular backend events.

Where teams use it

Long-running research tasks

Developers use AO to orchestrate agents that perform multi-day data scraping and synthesis without losing state.

Multi-agent coordination

Teams deploy the orchestrator to manage handoffs between a coding agent and a QA agent securely.

Enterprise agent deployment

Platform engineers use the backend framework to wrap existing LLM scripts into production-ready daemons with CDC monitoring.

Stateful task recovery

System administrators rely on the persistence layer to automatically resume agent tasks after a server reboot.

Getting started: npm install -g @aoagents/ao

README

main branch
Agent Orchestrator

Agent Orchestrator

The orchestration layer for parallel AI coding agents

Stars Contributors Twitter Discord License: Apache-2.0

An Agentic IDE that supervises parallel AI coding agents in isolated workspaces, with complete control and automatic feedback loops from CI failures, review comments, and merge conflicts.

Agent Orchestrator dashboard showing parallel coding agent sessions

What is Agent Orchestrator?

Agent Orchestrator is a meta-harness agent IDE for running AI coding agents in parallel. It gives terminal-based agents like Claude Code, Codex, Cursor, Kimi Code, opencode, and others a shared workspace where their sessions, terminals, branches, pull requests, and feedback loops can be supervised from one place.

The agents still do the coding. AO provides the harness around them: isolated workspaces, live terminal access, session state, PR awareness, and automatic loops that send CI failures, review comments, and merge conflicts back to the right agent. Instead of manually coordinating a pile of agent terminals, AO turns parallel agent work into a managed workflow.

Why Agent Orchestrator?

AI coding agents become much more useful when they can work in parallel, but parallel work gets messy quickly. Branches overlap, terminals get lost, CI failures need follow-up, review comments need replies, and merge conflicts have to reach the right worker.

Agent Orchestrator is built to keep that loop visible and manageable. It helps you:

  • Start multiple agents from the same project without mixing their work
  • Keep every session in a separate git worktree
  • See which agents are working, waiting, finished, or blocked
  • Route CI failures, review comments, and merge conflicts back to the right session
  • Use different agent CLIs through one common supervisor

How it works

At a high level, Agent Orchestrator follows a simple loop:

  1. Add a project you want agents to work on.
  2. Start one or more sessions from the desktop app or CLI.
  3. AO creates an isolated git worktree for each session.
  4. AO launches the selected coding agent in that session's terminal runtime.
  5. The local daemon watches session state, terminal activity, pull requests, CI, and review feedback.
  6. The desktop app and CLI show the current state and let you send follow-up instructions to the right session.

The result is a local control layer for agentic coding: agents still do the coding, while Agent Orchestrator keeps their workspaces, status, terminals, and feedback loops organized.

Features

The desktop app is the main control surface: projects on the left, active sessions in the center, and the selected session's terminal, pull request state, review runs, and browser preview in the inspector.

Parallel agent sessions

Start multiple coding agents from the same project without mixing files, branches, terminals, or pull request state.

Agent Orchestrator board with multiple parallel sessions

Live terminal control

Open any session and attach to the worker terminal while keeping session summary, PR state, and follow-up actions in view.

Session terminal inside Agent Orchestrator

Review feedback loop

Run reviewer agents, inspect review status, and route requested changes back to the right worker session.

Reviews tab showing reviewer runs and actions

In-app browser preview

Preview a session's local app beside the terminal so UI work, browser state, and agent output stay together.

Browser preview tab showing a local app preview

Supported Agents

AO ships adapters for 23 worker agent harnesses:

claude-code · codex · aider · opencode · grok · droid · amp · agy · crush · cursor · qwen · copilot · goose · auggie · continue · devin · cline · kimi · kiro · kilocode · vibe · pi · autohand

Reviewer agents are configured separately. The current reviewer harnesses are:

claude-code · codex · opencode

If it runs in a terminal, it runs on Agent Orchestrator.

Install

Download the latest desktop build for your platform:

Platform Download
macOS (Apple silicon) Download
macOS (Intel) Download
Windows Download
Linux Download

After installing, open Agent Orchestrator and point it at the repository you want AO to manage. The desktop app runs the daemon for you, so no CLI is required. Installed desktop builds check for updates on launch and periodically while the app is running. See the installation guide for agent CLI setup and troubleshooting.

Install via npm (legacy CLI, no longer recommended)

npm still works but is no longer recommended. 0.10.0 is the final version published to npm, and the @aoagents/ao package is frozen and will not receive further updates. It stays available for existing users who have the ao CLI on their PATH; ao start fetches and opens the same desktop build linked above. For any new setup, prefer the desktop download.

npm install -g @aoagents/ao
ao start

Witness AO's Journey on X

Agent Orchestrator journey screenshot one Agent Orchestrator journey screenshot two

Documentation

Document Start here when you need
docs/architecture.md Backend mental model, lifecycle, persistence, CDC, status derivation, and daemon boundaries.
docs/backend-code-structure.md Package ownership and where each backend concern belongs.
docs/cli/README.md CLI behavior and daemon route mapping.
docs/development.md Prerequisites, build steps, running tests, and troubleshooting for local development.
docs/STATUS.md What currently ships on main and what remains in flight.
docs/stack.md Library, runtime, and dependency decisions.

Telemetry

Agent Orchestrator's Electron renderer sends anonymous usage events to PostHog for reliability and product understanding, and PostHog session recording is enabled with local paths and local URLs redacted before transmission. Set VITE_AO_POSTHOG_KEY to an empty string before building to disable transmission. See docs/telemetry.md.

License

Apache License 2.0. See LICENSE.

View on GitHub

Recent activity

commits and pull requests

Releases and announcements

88 total
  1. v0.11.0v0.11.0Jul 28, 202666 downloads

    Automated stable release built from AgentWrapper/agent-orchestrator@a10c98c8075b176a316b4630421248796d01a554.

  2. v0.10.4-nightly.202607280518v0.10.4-nightly.202607280518Jul 28, 2026pre-release54 downloads

    Automated nightly release built from AgentWrapper/agent-orchestrator@a10c98c8075b176a316b4630421248796d01a554.

  3. v0.10.4-nightly.202607251158v0.10.4-nightly.202607251158Jul 25, 2026pre-release1.3K downloads

    Automated nightly release built from AgentWrapper/agent-orchestrator@140ec147c067b6b7db66e703027f7f194b8f0d86.

  4. v0.10.4-nightly.202607241408v0.10.4-nightly.202607241408Jul 24, 2026pre-release327 downloads
  5. v0.10.4-nightly.202607241102v0.10.4-nightly.202607241102Jul 24, 2026pre-release107 downloads

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1.7K commits in the last 52 weeks.

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Commit volume by weekday and hour (UTC). Larger dots mean more commits.

Who is committing

last 52 weeks
Maintainer commits177 (9%)
Community commits1,720 (91%)

1,897 commits in total over the last year.

DateListRankStars gained
Feb 25, 2026daily#21+161
Feb 21, 2026daily#16+172
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