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tmux-orchestration

Orchestrate multiple AI agents in tmux sessions for parallel execution and coordination.

3|Updated Feb 24, 2026
Search Tags:#automation#workflow#parallel processing#agent#orchestration#tmux
One-click install
npx skills add https://github.com/oddship/bosun --skill tmux-orchestration
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: tmux-orchestration
Source: https://github.com/oddship/bosun/tree/main/.pi/skills/tmux-orchestration
Command: npx skills add https://github.com/oddship/bosun --skill tmux-orchestration

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill streamlines the management of multiple AI agents by allowing them to run concurrently within tmux windows, enabling complex, multi-agent workflows.

Core Features & Use Cases

  • Agent Spawning: Launch specialized agents in separate, background tmux panes.
  • Task Delegation: Send specific instructions or prompts to individual agents.
  • Workflow Coordination: Facilitate communication and task handoffs between agents, especially those using mesh protocols.
  • Use Case: When planning a complex feature, you might spawn a 'scout' agent to gather information, a 'planner' agent to outline steps, and a 'verifier' agent to check feasibility, all running simultaneously.

Quick Start

Use the tmux-orchestration skill to spawn a new agent named 'verify' with the task to run tests and report via mesh.

Frequently Asked Questions about tmux-orchestration

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run multiple AI agents in parallel for workflow automation?▼

Parallel AI agents can run concurrently within tmux sessions by spawning each agent in a separate background tmux pane, enabling simultaneous task execution and multi-agent workflow coordination.

What is the best way to delegate tasks to AI agents running in tmux?▼

Task delegation to AI agents in tmux is achieved by sending specific instructions or prompts via simulated key presses to individual panes, and capturing the output for agents not using mesh protocols.

How does mesh protocol coordination work for agents in tmux windows?▼

Mesh protocol coordination allows mesh-aware agents running in tmux to automatically report results back, facilitating seamless task handoffs and communication without manual output capturing.

Can I use tmux to orchestrate specialized agents for complex feature planning?▼

Yes, tmux orchestration supports spawning specialized agents like a scout, planner, and verifier simultaneously, allowing them to gather information, outline steps, and check feasibility in parallel.

Do I need mesh-aware agents to coordinate multiple AI agents in tmux?▼

No, mesh-aware agents are not required since non-mesh agents are also supported by capturing their output directly, though mesh protocols simplify workflow management by automating result reporting.

Why use tmux for parallel agent execution instead of other orchestration tools?▼

Tmux enables parallel agent execution by leveraging separate background panes for concurrent processing, providing a lightweight environment for spawning agents and managing non-mesh output capture without heavy infrastructure.

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