dmux: The Missing Tool for Multi-Agent Development

If you've tried running multiple AI coding agents on the same project, you know the pain. Agent A pushes changes to main while Agent B is still working on its branch. File conflicts everywhere. Context getting mixed up. It's a mess.

The Problem with Current Agent Workflows

Most AI coding tools assume you're working with one agent at a time. Cursor, Continue, even the new Claude long-running agents — they're all designed for sequential development. But as agents get more capable, the real opportunity is orchestrating multiple agents working in parallel.

Imagine having one agent refactor your auth system while another optimizes your database queries and a third writes tests. Today, this creates chaos. Tomorrow, it could be how all software gets built.

Enter dmux: Parallel Agent Infrastructure

dmux solves this with a simple but powerful approach: isolated git worktrees + tmux sessions. Each agent gets its own branch and terminal environment. They can work simultaneously without conflicts, then merge their changes back when ready.

The workflow is surprisingly elegant:

• dmux create feature-auth spawns a new worktree and tmux session
• Launch your AI agent in that isolated environment
• Repeat for other agents on different branches
• Each agent has full context of the codebase but works in isolation

Why This Matters

We're at an inflection point in AI development. Single-agent workflows are hitting their limits — not because agents aren't smart enough, but because real software projects require different types of work happening in parallel.

The teams building with dmux aren't just experimenting. They're solving the coordination problem that will define the next phase of AI-assisted development. While everyone else debates which coding assistant is best, they're already orchestrating multiple agents like a dev team.

The Underground Advantage

dmux isn't backed by a big AI company or wrapped in enterprise features. It's built by developers who needed to solve this problem for themselves. That's why it works — it addresses the actual pain point, not the theoretical one.

If you're serious about multi-agent development, dmux is essential infrastructure. It's the difference between agents fighting each other and agents working together.

Try dmux →