# Install ntm (requires Go)
go install github.com/Dicklesworthstone/ntm@latest

# Launch the TUI command palette
ntm

# In the TUI, press 'n' to create a new named session.
# Example: 'my_project'

# Press 'a' to add an agent pane.
# Choose: Claude, Codex, or Gemini.
# Watch it tile automatically.

You just copied the command to stop juggling terminal windows. Named Tmux Manager (ntm) is a Go-based tool that turns your terminal into a coordinated AI war room. It solves the #1 problem developers face with multiple AI assistants: context switching chaos.

Instead of alt-tabbing between browser tabs or separate terminal instances, ntm gives you a single text-based UI to spawn, name, and tile Claude, Codex, and Gemini sessions side-by-side. It's not just automation—it's a workflow revolution for prompt engineers and developers.

Why This Solves a Real Pain Point

Most developers use 2-3 AI assistants. Claude for reasoning, Codex for code generation, Gemini for research. Managing them manually is inefficient. You lose prompts, forget context, and waste time.

ntm fixes this by treating AI agents as first-class terminal citizens. Each pane runs a dedicated agent. The TUI command palette (triggered with ntm) lets you create named sessions for different projects.

How the Multi-Agent Magic Works

The tool uses tmux under the hood but abstracts away the complexity. You don't need to know tmux commands. The workflow is simple:

• Create a named session for your project (e.g., "api_refactor")
• Add agent panes with keystrokes (Claude, Codex, Gemini)
• Watch them tile automatically in optimal layouts
• Coordinate workflows by sending commands to specific panes

This means you can have Claude analyze a problem in one pane while Codex implements the solution in another. Gemini can research documentation in a third. All visible simultaneously.

The Real-World Impact

For developers, this changes how you approach complex tasks. Instead of sequential prompting, you run parallel AI processes. Compare outputs in real-time. Use each AI for its strengths.

The GitHub project hit trending because it's practical. It's not another theoretical framework. It's a working tool that delivers immediate productivity gains. The 139 stars in a short time prove developers are hungry for this solution.

Written in Go, it's fast and lightweight. The TUI is intuitive. You're managing AI agents, not wrestling with terminal multiplexer configs.

Beyond Basic Tiling

ntm's power is in coordination. You can broadcast commands to all panes or target specific agents. This enables true multi-agent workflows where AIs collaborate.

Imagine debugging: Claude analyzes stack traces, Codex suggests fixes, Gemini searches for similar issues. All in one view. No copying prompts between windows.

The named sessions mean you can save configurations. Return to "api_refactor" tomorrow and your agent setup is preserved. This is persistent AI workspaces for the terminal.