Problem solved

Managing multiple AI coding agents concurrently often leads to workspace conflicts and scattered permission requests. Octomux solves this by isolating each agent in its own git worktree and providing a single interface for permissions, monitoring, and diff review, ensuring safe parallel experimentation and code generation with full human control.

Use cases

• Running parallel AI agents to tackle multiple coding tasks simultaneously
• Reviewing and approving AI-generated code changes via a unified inbox
• Monitoring agent activity in real-time across different git branches/worktrees
• Experimenting with different AI agent models on the same codebase without interference
• Coordinating team agent workflows with centralized permission management
• Enabling safe agent operation by requiring human approval for file writes and shell commands

Audience

• Developers
• ML Engineers
• Researchers

Pros

• Isolated agent environments via git worktrees prevent interference
• Unified permission inbox simplifies oversight
• Real-time monitor grid provides visibility into agent activity
• In-app diff review speeds up change verification
• Open source with MIT license allows flexible use and customization

Cons

• Limited to Claude Code and Cursor agents currently
• Requires local setup and resource management
• Dependency on git worktrees may not suit all workflows
• Potential stability issues with parallel agents on large repositories
• Lack of extensive documentation and community support (early stage)