Agent Orchestrator (AO): Desktop IDE for Managing Fleets of Coding Agents
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. 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.
At a glance
- What is it?
- Agent Orchestrator is a local desktop application that gives each coding task its own agent, isolated workspace, and feedback loop, then surfaces all active work on a live Kanban. It includes a project-level orchestrator for planning and delegation and a daemon that routes CI failures, review comments, and merge conflicts back to the agent that owns the affected branch.
- Who is it for?
- Agent Orchestrator is a good fit for developers who run multiple coding agents in parallel and need a single place to monitor their progress, handle CI failures, and manage pull requests. It is not a coding agent itself; it requires a separate agent CLI (such as Claude Code or another supported tool) installed alongside it.
- Can I use it commercially?
- Yes. Apache-2.0 is a permissive licence: you can use, modify and sell software built on it, as long as you keep its copyright and licence notices.
- Is it still maintained?
- Yes. The repository last received commits 4 days ago.
- What is it written in?
- Mainly Go, according to GitHub's language statistics.
Answers come from the project's GitHub data, last synced on September 25, 2026, and from our analysis. They are not legal advice.
Editorial analysis
The Problem AO Solves
Running a single coding agent on a task is straightforward. Running several agents across the same repository introduces coordination problems: which agent owns which branch, how CI failures get back to the right agent, and how to see the full state of the project without opening a dozen terminals and browser tabs.
AO addresses this coordination layer. The README describes the core challenge directly: deciding what matters, splitting work cleanly, giving each agent the right context, preventing branch collisions, and following every change through review and merge. AO is a local desktop workspace built for that job, not for the agent execution itself. It wraps whatever coding agent and model the developer chooses and provides the harness around them.
Workers: One Task, One Agent, One Workspace
The fundamental unit in AO is the worker. A worker is a task assigned to a specific coding agent, running in an isolated Git worktree. Each worker gets its own branch, and AO attaches the task description, conversation, terminal, changed files, browser preview, pull request, CI state, and review state to that session from start to finish.
Creating a worker starts with the "New task" button. The developer describes the outcome, selects an agent and model, and optionally attaches relevant files. The worker can run in Chat mode or in the agent's native terminal UI. At any point the developer can open the worker to continue the conversation, attach to its terminal, inspect the diff, review the pull request, or send feedback back to the same agent.
This design keeps parallel work from collapsing into shared context. Each task is independently reviewable and independently re-startable.
The Orchestrator: Project-Level Planning
Above the worker layer sits the project orchestrator. The orchestrator is a persistent planning and coordination agent with a project-scoped conversation that preserves goals, decisions, constraints, and earlier reasoning across sessions.
The README describes the orchestrator's role as working at the level above individual tasks: product direction, technical strategy, priorities, and the sequence of work across the repository. It combines its planning history with repository context and the live AO state, including active workers, branch ownership, pull requests, CI results, and reviews.
When a plan becomes actionable, the orchestrator can break it into focused tasks, spawn or redirect workers, and pass each worker the relevant context. The division of responsibility is explicit: the orchestrator owns planning and delegation; workers own implementation, tests, commits, and pull requests.
Installing AO on macOS, Windows, and Linux
AO is distributed as a desktop application. There is no CLI required to start it. The daemon runs inside the desktop app. Download links from the README for each platform:
- macOS Apple silicon: `agent-orchestrator-darwin-arm64.dmg` - macOS Intel: `agent-orchestrator-darwin-x64.dmg` - Windows: `agent-orchestrator-win32-x64.exe` - Linux AppImage: `agent-orchestrator-linux-x64.AppImage` - Linux Debian/Ubuntu: `agent-orchestrator-linux-x64.deb` - Linux Fedora/RHEL: `agent-orchestrator-linux-x64.rpm`
AO checks for updates automatically. On macOS, if the Gatekeeper dialog prevents the app from opening, the README instructs users to right-click and choose Open, then Open again. If that still does not work, the README links to the installation guide for Gatekeeper diagnostics.
After opening AO, point it at the repository to manage. The agent CLI setup is handled separately; the installation guide at https://docs.aoagents.dev/installation covers agent CLI configuration and troubleshooting.
The Kanban and What Each Column Means
AO surfaces all workers on a single live Kanban board, whether started manually with "New task" or delegated by the orchestrator. The board derives each card's column from session state, pull request status, CI results, and review status, which means the column reflects the actual operational state of the work.
The four columns are: Working (agents actively implementing or ready for another instruction), Needs you (blocked sessions, missing input, failed CI, requested changes, or lost signals), In review (open and draft pull requests waiting on checks or review), and Ready to merge (approved or mergeable work, with merged sessions kept visible until archived).
Each Kanban card shows the task, agent, branch, activity, pull request, and status. Opening a card shows the conversation, terminal, changed files, PR summary, reviews, and a preview. The board design is intended to show at a glance where attention is needed most.
Limits and What AO Is Not
AO is a harness, not a coding agent. It requires a separate agent CLI installed on the machine. The README references agent CLI setup in the installation guide, and the `.agents/` directory at the repository root suggests that agent configuration files live alongside the project. Developers who do not already have a supported coding agent will need to set one up separately.
The repository includes a `pricing/` directory, which indicates that some AO features may be behind a paid tier. The README links to https://aoagents.dev as the homepage but does not describe the pricing model in the README text itself. Teams evaluating AO for production use should review the pricing page before committing.
The repository is built in Go for the backend and TypeScript for the frontend. The last push was on 2026-09-25 and nightly builds are released daily. The license is Apache-2.0.
The repository's top-level layout shows that AO is itself developed using coding agents: it contains AGENTS.md, CLAUDE.md, and CONTEXT.md files at the root, alongside a .agents/ directory. These are configuration files for the agent tools that work on AO's own codebase.
Editorial conclusion
Agent Orchestrator is a good fit for developers who run multiple coding agents in parallel and need a single place to monitor their progress, handle CI failures, and manage pull requests. It is not a coding agent itself; it requires a separate agent CLI (such as Claude Code or another supported tool) installed alongside it. Before adopting it, verify that the agents and models you intend to use are supported by AO's worker configuration, and review the pricing page in the repository since the README references a `pricing/` directory and an `aoagents.dev` homepage.
Frequently asked questions
What is an orchestrator agent in Agent Orchestrator?
In AO, the orchestrator is a persistent planning agent with a project-scoped conversation. It works above individual tasks: it reasons about product direction, breaks plans into focused tasks, spawns workers, and passes each worker the relevant context. Workers own implementation; the orchestrator owns planning and delegation.
What is Agent Orchestrator?
Agent Orchestrator is a local desktop application for managing multiple coding agents working in parallel on the same repository. It gives each task its own branch, workspace, and feedback loop, and surfaces all active work on a live Kanban board.
Which platforms does Agent Orchestrator support?
AO provides native installers for macOS (both Apple silicon and Intel), Windows (x64), and Linux (AppImage, Debian/Ubuntu .deb, and Fedora/RHEL .rpm). The app checks for updates automatically.
Official sources
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