Herdr — Herdr provides a persistent, multi-machine runtime for managing and orchestrating coding agents in your terminal.
Analyzed by Sai Pavan Gopularam · AI · Developer Tools · View on GitHub
- Stars: 37383
- Forks: 2743
- Commits last 30 days: 100
- Health: Active (100 commits this month)
- Language: Rust
- License: Apache-2.0
What It Is
Imagine `tmux` or `screen`, but specifically designed for AI coding agents. Herdr lets your agents run persistently in a terminal, even if you close your client or lose connection, keeping their work alive in the background.
This matters because it solves the problem of ephemeral agent sessions and scattered development environments. You can manage agents across multiple machines from one window, see their status (working, blocked, idle), and let them interact, all without forcing them into a specific framework.
License Verdict
Apache 2.0 License — Build and Sell Freely — Commercial Use Approved • Permissive • No Copyleft Restrictions
The Apache 2.0 license is highly permissive, allowing you to use, modify, and distribute this software for any purpose, including commercial products. You can build proprietary software on top of it without needing to open source your own code, provided you include the original license and copyright notices.
How to Use It
Install Herdr using a simple shell script or package manager. Once installed, just run 'herdr' in your terminal to start the runtime. You can then run your AI agents within this persistent environment.
Prerequisites:
- Shell access
- macOS/Linux or Windows
Estimated setup time: 5 minutes.
curl -fsSL https://herdr.dev/install.sh | sh
herdrWhat I'd Build With This
Collaborative Agent Session Sharing (micro-saas)
Build a service that allows developers to share their Herdr agent sessions with teammates. Users could invite others to view or even interact with a running agent's terminal, facilitating pair programming or debugging AI agent workflows. Charge per active shared session or per user.
Effort: 1 Week Build Time · Target: Small Dev Teams, AI Researchers · Pricing: $19/user/month
Managed AI Agent Orchestration Platform (saas)
Develop a hosted platform that provides managed Herdr instances. Users can deploy and monitor multiple AI coding agents, integrate with various LLM APIs, and set up complex multi-agent workflows through a web UI. Offer features like agent versioning, resource allocation, and performance analytics.
Effort: 3 Months Build Time · Target: AI Development Agencies, Startups building with agents · Pricing: $99 - $499/month
Secure On-Premise Agent Development Environment (enterprise)
Offer custom, secure deployments of Herdr for large enterprises. This would involve integrating Herdr with existing internal infrastructure, identity management systems, and proprietary codebases. Focus on compliance, data security, and tailored agent lifecycle management for sensitive projects.
Effort: 6 Months Build Time · Target: Financial Institutions, Defense Contractors, Large Tech Companies · Pricing: $50,000+ / year contract
Sai Pavan Gopularam's Take
I've been looking for a robust way to manage my AI agents without relying on a browser-based IDE, and Herdr seems to fit the bill perfectly. The persistence and multi-machine capabilities are a huge win for serious agent development. I could see myself paying $29/month for a hosted version that handles all the setup for me.
Watch Out For
- Terminal-centric Workflow: Herdr operates primarily in the terminal, which might be a learning curve for developers accustomed to GUI-based IDEs. While it offers mouse support, core interaction relies on terminal commands and shortcuts.
- Rust Ecosystem: While Herdr itself is a binary, extending it via plugins or contributing to its core requires familiarity with Rust. This could limit the pool of developers able to deeply customize or contribute.
- Session State Limitations: Herdr restores layout and resumes *supported* agent sessions after a server restart, but the original processes do not survive. This means agents need to be designed to handle restarts gracefully and re-initialize their state.
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