Agent Orchestrator (AO) is an open-source coding agent fleet manager designed to unify and streamline developer workflows. Instead of constantly switching tabs between individual agent terminal windows, AO provides a centralized platform to manage, monitor, and coordinate your AI coding agents in one unified dashboard.

With Agent Orchestrator, software teams can plan project roadmaps using a project-specific orchestrator. The tool breaks down complex roadmap items into distinct sub-tasks, delegates them to isolated agents, and manages the entire fleet automatically. Developers can easily monitor progress through a visual Kanban view as tasks progress through each lifecycle stage—from Working to PR, Running tests, and Code Review.

Released as a free and open-source software under the Apache 2.0 license, Agent Orchestrator empowers developers to scale their usage of AI agents efficiently without losing visibility or control over their codebase.

Pros of Agent Orchestrator

Free and open source under the Apache 2.0 license
Visual Kanban view to track task progress from execution to code review
Automates task breakdown and delegation to isolated agents
Eliminates tab switching between multiple agent terminals

Cons of Agent Orchestrator

Tailored specifically for software development workflows and coding agents
Requires setup and configuration suited primarily for developers

Frequently Asked Questions

What is Agent Orchestrator?

Agent Orchestrator (AO) is a free and open-source tool that allows developers to manage, delegate tasks to, and monitor a fleet of AI coding agents from a single interface.

How does Agent Orchestrator track agent activity?

It uses a Kanban view dashboard that tracks each task across sequential stages, including Working, PR, Running tests, and Code Review.

How does task delegation work in AO?

AO utilizes a project-specific orchestrator to take roadmap plans, automatically break them down into smaller tasks, and delegate those tasks to isolated coding agents.