AI Agents
deepagents
The batteries-included agent harness from the LangChain team.
★ 30.0k starsMIT
View guide →DeepSeek's plugin-based agent harness where everything is a plugin.
deepseek-harness is an open-source ai agents project by deepseek-ai (deepseek-ai/deepseek-harness on GitHub). It has 245,484 GitHub stars and 29,409 forks, is released under the MIT license, and was last updated on GitHub on 3 October 2026.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Tools, skills, and integrations load as plugins, not built-ins.
dsh and dsh-plugin topics hint at a packaged plugin format.
Built in TypeScript for the JavaScript-heavy agent stack.
An official project from deepseek-ai, aligned with their models.
Permissive license for commercial and open use.
Hundreds of thousands of stars signal huge community interest.
Download the source and move into the project folder.
git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harnessPull in the Node packages the project needs.
npm installTreat these as starting points - the README documents the exact commands.
npm run buildIt is an open-source project at deepseek-ai/deepseek-harness with 29409 forks. Check the repo's contributors and recent commits to judge how active maintenance is.
Yes - it is MIT licensed, so you can use, modify, and distribute it freely, including in commercial projects.
The framework itself is free - but you will need a model to drive it, which usually means your own API key or a local model.
Most harnesses ship a fixed toolset; DeepSeek Harness bets on plugins for everything, which pays off if you want a modular, extensible core. If you prefer a batteries-included framework, look at the general agent frameworks in this collection instead.
Clone the repo, read the README's quickstart, and run the provided example - most projects get you to a first result in minutes.
The batteries-included agent harness from the LangChain team.
Model-agnostic marketplace of agent skills with a harness-free canonical layer.
30 runnable notebooks teaching everything about agent memory.
A harness-oriented framework for production-grade agent applications.
A framework for agent nexuses where intelligence emerges from interaction.
A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
The most-starred other AI Agents projects in the LibreAI catalogue — the realistic shortlist if deepseek-harness is not the right fit.
A personal AI that really does things — on any OS, with your data staying yours.
An agentic skills framework & software development methodology that works.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The agent that grows with you — a Python framework for adaptive AI agents.
Turn any website into clean, agent-ready data with one API.
Free and open — grab the source, star the repo, and start creating.