Tianyi Cui 16d86cfba7 test: decouple the translation prompt snapshot from live documents
The snapshot embedded five live bilingual document pairs as reviewed
examples, so editing any of them (README, development guide, i18n docs)
churned the snapshot. Replace them with three synthetic fixture pairs
(product, rules, agent-note shapes) under scripts/fixtures; the prompt
examples stay representative without tracking real document content.
2026-08-13 13:07:57 +08:00
2026-08-13 06:14:27 +08:00
2026-08-13 02:58:32 +08:00
2026-08-13 01:35:47 +08:00

DeepSeek Harness

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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.

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-plugin topic to your plugin repository for discoverability.

Contributing

See CONTRIBUTING.md.

Development

Start with the development guide and architecture documentation.

For agents, follow AGENTS.md.

License

BSD 3-Clause

Third-party dependencies and their licenses are disclosed in THIRD_PARTY_NOTICES.md.

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