Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
deepseek-harness
AI 应用与智能体deepseek-ai/deepseek-harness
DeepSeek Harness: Everything is a Plugin.
复现步骤
按顺序执行即可在本地跑起来;具体参数以项目 README 为准。
- 1
克隆仓库到本地
git clone --depth 1 https://github.com/deepseek-ai/deepseek-harness.git cd deepseek-harness - 2
安装 Node 依赖并启动开发服务
npm install && npm run dev
为什么这个项目容易复现
- README 内容较完整
- 有明确的依赖清单,环境可还原
- 带示例 / demo 目录
- 有独立文档目录
- MIT 许可证,可放心使用
- 两周内仍在活跃更新
项目 README
DeepSeek Harness
English | 中文
DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI.
It uses an architecture where everything is a plugin, and is powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.
Developer preview
DeepSeek Harness is currently in developer preview and is iterating rapidly. THERE WILL BE COMPATIBILITY-BREAKING CHANGES.
Run
Run from npm
Install Node.js, then run:
npx @deepseek-ai/dsh web
The command starts the Web UI, served at http://127.0.0.1:3080 by default. See Web UI guide.
Run from source
To run from a repository checkout:
git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harness
pnpm install
pnpm run build
pnpm dsh web
Community and support
- Feel free to submit feedback or bug reports through GitHub Discussions.
- Add the
dsh-plugintopic to your plugin repository for discoverability. - Join DeepSeek Harness Discord community.
Contributing
See CONTRIBUTING.md.
Development
Start with the development guide and architecture documentation.
For agents, follow AGENTS.md.
License
Third-party dependencies and their licenses are disclosed in THIRD_PARTY_NOTICES.md.
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