agent-orchestrator
A desktop control platform for parallel management and coordination of multiple AI coding agents.
Install & Use
Copy this prompt and send it to your AI assistant (Claude / Cursor / TRAE / Codex / WorkBuddy etc.) to auto-install:
Help me install this AI Skill: agent-orchestrator. It is used for: A desktop control platform for parallel management and coordination of multiple AI coding agents. Full Skill content: https://321skill.com/skills/agent-orchestrator/raw/index.md Read that page and install it.
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Agent Orchestrator is designed to address the issues of workspace chaos, branch conflicts, and broken feedback loops when multiple AI coding agents (such as Claude Code, Cursor, etc.) work simultaneously on a single project. It provides a unified control layer that isolates each agent to run in an independent Git worktree, while centrally managing their sessions, terminals, branch statuses, and automated feedback from CI, code reviews, and merge conflicts.
Users add projects and start sessions via its desktop application or CLI. Agent Orchestrator then creates isolated environments for each session and launches the specified coding agent. A local daemon continuously monitors the status of all sessions, terminal activity, pull requests, and external feedback.
It is well-suited for development teams or individual developers who need to schedule multiple AI agents to handle different functional modules concurrently, fix multiple bugs in parallel, or wish to automatically route CI failures and code review comments back to the corresponding agent for follow-up processing.
It is recommended to familiarize yourself with its workflow and session management using small tasks before starting a complex project. Note that it does not include coding agents itself; users must pre-configure command-line tools for terminal agents such as Claude Code.
Key Features
Unlike single AI coding tools or simple multi-terminal management, it achieves true physical-level workspace isolation through Git worktrees and builds an automated feedback loop mechanism. This mechanism can precisely push CI failures, code review comments, and merge conflicts back to the corresponding agent session that caused the issue, enabling closed-loop management of parallel AI agent workflows.
Limitations
Not suitable for simple coding tasks that involve only a single AI coding agent or do not require complex parallel collaboration.
FAQ
Is Agent Orchestrator itself an AI coding model?
No, it is a management and coordination platform (Harness) that requires the use of specific AI coding agent CLI tools such as Claude Code, Cursor, etc.
Which AI coding agents does it support?
It supports any coding agent that runs in the terminal, such as Claude Code, Cursor, opencode, Kimi Code, etc. They can be integrated by configuring their startup commands.
Installation guide for AI assistants
If your AI coding assistant (Claude Code, Cursor, TRAE etc.) can see this page, send it this message to auto-install:
Visit https://321skill.com/skills/agent-orchestrator/raw/index.md to read the original Skill definition (Markdown format) for agent-orchestrator, and install it according to the instructions.
Raw Markdown URL for AI: /skills/agent-orchestrator/raw/index.md