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Orchestrator.inc is a free, open-source AI coding agent orchestration platform that enables developers to plan, execute, and supervise multiple autonomous coding agents from a centralized workspace. The application supports more than 35 AI coding agents, including Claude Code, OpenAI Codex, Cursor, Gemini CLI, and GitHub Copilot, allowing users to select different agents and models for individual development tasks. Orchestrator.inc automatically breaks down software development projects into smaller tasks and assigns each task to a dedicated AI agent operating in an isolated Git worktree and branch. The platform monitors agent progress, pull requests, continuous integration checks, and code reviews while automatically routing failed tests, review feedback, and merge conflicts back to the responsible agents. Developers can manage their coding agents through a desktop application or companion mobile apps for iPhone and Android, with support for remote approvals, notifications, and more.
Features
- Multi-Agent Orchestration: Plan and execute complex software development projects using multiple autonomous AI coding agents that divide work into tasks and coordinate execution.
- 35+ AI Coding Agent Integrations: Supports Claude Code, OpenAI Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode, Aider, Grok, Kimi, and other coding agents, with configurable agent and model selection.
- Parallel Development with Git Worktrees: Run multiple coding agents simultaneously in isolated Git branches and worktrees, preventing conflicting changes while enabling concurrent development.
- Automated Pull Request and CI Management: Monitor pull requests, detect failed CI checks, process code review comments, resolve merge conflicts, and automatically assign fixes to the responsible agents.
- Desktop and Mobile Agent Management: Control coding agents from Windows, macOS, Linux, iPhone, and Android, with push notifications, remote approvals, interactive chat, and access to agent terminal sessions.
- Local and Cloud-Based Execution: Run agents directly on a local computer or deploy them into hosted cloud workspaces, enabling continuous execution and remote monitoring even when the local computer is offline.
Project Samples
