DeepSeek has released an official desktop app：https://x.com/DeepSeekHarness/status/2105330281389662575 for DeepSeek Harness：https://github.com/deepseek-ai/deepseek-harness (dsh), its open-source agent harness. The app ships with the v0.2 preview：https://x.com/DeepSeekHarness/status/2105330281389662575. Installers cover macOS (Apple silicon) and Windows (64-bit).

Is it deployable? Yes, today, as a preview. Download it from deepseek.com/harness：https://www.deepseek.com/en/harness/ or run npx @deepseek-ai/dsh web . DeepSeek warns that compatibility-breaking changes will follow.

A harness is the runtime that turns a model into an agent. It reads files, runs commands and keeps a plan. The v0.2 preview targets everyday work as well as coding.

The desktop build also bundles the dsh command. Users no longer need a separate Node.js or pnpm install：https://github.com/deepseek-ai/deepseek-harness/releases/tag/dsh-v0.2.0-rc.2. Users can sign in with a DeepSeek account or add an API key. Per the rc.1 notes：https://github.com/deepseek-ai/deepseek-harness/releases/tag/dsh-v0.2.0-rc.1, account models get web search without an extra key.

DeepSeek first open-sourced dsh in August 2026, under MIT. It runs on Cordis：https://github.com/cordiverse/cordis as described in the research paper ‘A Programming Paradigm for Spatiotemporal Composability：https://arxiv.org/abs/2608.25512‘. The model adapter, tool registry and agent loop are all plugins. Any layer can be replaced.

The harness is not locked to DeepSeek models. The provider guide：https://deepseek-harness.github.io/deepseek-harness/guide/providers covers third-party providers and custom OpenAI-compatible endpoints. The repository has passed 240,000 GitHub stars and 29,000 forks.

dsh also doubles as DeepSeek’s evaluation rig. The API changelog：https://api-docs.deepseek.com/updates/ says Code Agent benchmarks ran on ‘DeepSeek Harness minimal mode.’ DeepSeek-V4-Flash-0731 scored 82.7 on Terminal Bench 2.1 in that setup.

Sessions run in 1 of 4 modes, per 36Kr’s hands-on：https://eu.36kr.com/en/p/3998199345500040 and the release notes:

The v0.2.1-alpha.1 build：https://github.com/deepseek-ai/deepseek-harness/releases/tag/dsh-v0.2.1-alpha.1 adds an experimental Claude Code Mods compatibility layer. DeepSeek frames it as a test of whether the Mods API is broadly a subset of dsh plugins. It does not promise full compatibility. The build also adds a ‘Let Agent create a plugin’ entry, an optional Developer Tools bundle and a --public-url flag for reverse proxies. It removes runtime invariant plugins, a breaking change for some extensions.

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DeepSeek Harness v0.2 đã phát hành ứng dụng máy tính chính thức, và Agent Harness mã nguồn mở đã bước vào bản xem trước dành cho nhà phát triển

Michal Sutter is a data science professional with a Master of Science in Data Science from the University of Padova. With a solid foundation in statistical analysis, machine learning, and data engineering, Michal excels at transforming complex datasets into actionable insights.

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