ogulcancelik / herdr

· Source: Github Trending: All languages · Field: Technology & Digital — Artificial Intelligence & Machine Learning, Software Development & Engineering · Depth: Intermediate, medium

Summary

Herdr is an open-source terminal multiplexer designed for managing multiple coding agents within a single terminal interface. Released as a lightweight ~10MB Rust binary, it provides dedicated, real terminal views for each agent, ensuring proper rendering of full-screen Text User Interfaces. Key features include persistent sessions that allow users to detach and reattach from any terminal, including mobile devices via SSH, and an intuitive sidebar displaying agent states (blocked, working, done, idle) without configuration. Herdr supports a wide array of agents, such as pi, Claude Code, and GitHub Copilot CLI, and offers mouse-native workspaces, tabs, and panes for organization. It also includes a local socket API and CLI for agent orchestration and custom plugins. Herdr was the #1 GitHub Trending repository on June 30, 2026.

Key takeaway

For AI Engineers managing multiple coding agents, herdr offers a robust solution to streamline your workflow. You can consolidate diverse agents into a single, persistent terminal environment, gaining immediate visibility into their operational states. This eliminates the need for separate GUI managers or complex tmux configurations. Consider integrating herdr to enhance agent orchestration, improve session management across devices, and maintain productivity when working with tools like Claude Code or GitHub Copilot CLI.

Key insights

herdr unifies agent management in a persistent, terminal-native environment with real-time state visibility.

Principles

Method

herdr starts a background server, providing real terminals for agents. It detects agent states via process names and output heuristics, and offers a socket API for agent-driven orchestration.

In practice

Topics

Code references

Best for: AI Engineer, Machine Learning Engineer

Related on AIssential

Open in AIssential →

Editorial summary, takeaway, and curation by AIssential. Original article published by Github Trending: All languages.