KI-Agenten
deepagents
The batteries-included agent harness from the LangChain team.
★ 30,0 Tsd. SterneMIT
Anleitung ansehen →deepseek-harness ist ein Open-Source-Projekt aus der Kategorie KI-Agenten von deepseek-ai (deepseek-ai/deepseek-harness auf GitHub). Es hat 245.484 Sterne auf GitHub und 29.409 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 3. Oktober 2026 auf GitHub aktualisiert.
DeepSeek's plugin-based agent harness where everything is a plugin.
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 buildWhen the harness is settled, the discovery problem remains — Awesome AI Tools maintains a very large, 2026-updated curated list of AI tools to survey the field, and Weave from Weights & Biases helps you develop the AI-powered app itself. Also on this shelf: logfire — Pydantic Logfire: Python and AI observability on OpenTelemetry — SQL-queryable traces, metrics, and logs.
It 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.
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A coding agent tuned for open models like Kimi, GLM, DeepSeek, and Qwen.
Die anderen Projekte der Kategorie KI-Agenten mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls deepseek-harness nicht das Richtige ist.
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Turn any website into clean, agent-ready data with one API.
Verwandte Projekte der Kategorie KI-Agenten im Katalog, die deepseek-harness bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
The agent that grows with you — a Python framework for adaptive AI agents.
Turn any website into clean, agent-ready data with one API.
Agent harness optimization system with skills, memory and security for Claude Code, Codex and more
The open-source platform for building and running autonomous AI agents, hosted or self-hosted
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.