Manage and orchestrate AI coding agents within tmux sessions via a Go-based CLI and TUI.
npx skills add https://github.com/Dicklesworthstone/ntm --skill ntm
Please help me install this Agent Skill. Skill: ntm Source: https://github.com/Dicklesworthstone/ntm/tree/main Command: npx skills add https://github.com/Dicklesworthstone/ntm --skill ntm
This Skill streamlines the management of multiple AI coding agents by providing a unified interface for spawning, monitoring, and coordinating them within tmux sessions, eliminating window chaos and context switching.
Use the ntm skill to spawn a new session named 'myproject' with two Claude agents and one Codex agent.
High-intent search queries and answers about installing and using this skill.
You can manage multiple AI agents in tmux by using a CLI and TUI to spawn, monitor, and send prompts to different models within a single terminal session. This eliminates window chaos and context switching by providing a unified orchestration interface.
Yes, you can programmatically control AI agents using a robot mode that exposes a machine-readable JSON API. This allows you to automate agent lifecycles and integrate orchestration with other AI tools for advanced workflows.
You can coordinate different AI models by spawning them simultaneously in a tmux session. Use Claude for architecture, Codex for implementation, and Gemini for documentation, managing all agents seamlessly through an interactive terminal UI and command palette.
The best way to orchestrate AI agents in a command line environment is using a Go-based CLI that manages agent lifecycles within tmux. It provides an interactive terminal UI and integrates with tools like Agent Mail, Beads, and UBS for advanced coordination.
Yes, tmux is required as the tool manages and orchestrates multiple AI coding agents specifically within tmux sessions. The entire architecture relies on tmux to spawn, monitor, and coordinate agent lifecycles without window chaos.
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