Agent Multiplexer

Simple Definition

An agent multiplexer is a tool that lets you run, monitor, and coordinate several AI agents from a single interface. Instead of juggling separate windows, you get one control room for parallel AI work.

The name borrows from terminal multiplexers like tmux, which let you run many sessions in one place. An agent multiplexer does the same thing, but with awareness of what each AI agent is doing.

Why It Matters

When developers or researchers run more than one agent at a time, supervision becomes the hard part. It is easy to lose track of which agent is stuck, which is finished, and which is quietly doing the wrong thing.

An agent multiplexer helps by showing active sessions, keeping agents running in the background, resuming after a restart, and giving you one view of the whole fleet. That makes it realistic to keep a human in the loop even across several agents.

Example

A developer uses an agent multiplexer to watch three agents at once: one writing tests, one reading documentation, and one reviewing a code change. A sidebar shows which is working, which is blocked, and which is done, so the developer can step in exactly where attention is needed.

herdr is one example of an agent multiplexer built for the terminal.

What They Usually Offer

• A live view of each agent’s state (working, blocked, done, idle)
• Session persistence so agents survive a closed laptop
• Parallel sessions in real terminal panes
• Coordination hooks so agents can spawn helpers or share a workspace

Related Terms

• AI Agent, the thing being multiplexed
• AI Coding Agent, a common agent type to run in parallel
• Subagent, a helper an agent can spawn
• Multi-Agent System, several agents working together
• Orchestration, coordinating multiple components
• Agent Orchestration, coordinating agents specifically

See also herdr vs Claude Code, which explains how a multiplexer complements a coding agent.