AIエージェント
deepagents
The batteries-included agent harness from the LangChain team.
★ 30.0k スターMIT
ガイドを見る →deepseek-harnessは、deepseek-aiが公開しているオープンソースのAIエージェントプロジェクトです（GitHub: deepseek-ai/deepseek-harness）。GitHubスターは245,484、フォークは29,409で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年10月3日です。
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.
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LibreAIカタログに掲載されたAIエージェントプロジェクトの中で最もスターの多いもの — deepseek-harnessが合わなかった場合に検討したい、現実的な候補リストです。
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カタログの中でdeepseek-harnessとスター数が近いAIエージェントプロジェクト — 前後の棚もそのまま見て回れます。
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