imccyu d5be1d62c9 feat(release): count publish progress against the whole release set
A dsh publication uploads 221 packages one at a time, spaced apart, and
the log gave no way to tell how far along a run was: every line named a
package, none said where that package sat in the set.

Each per-package line now carries [n/total]. Every entry in the order
settles as either published or already present, so the counter is both
"packages settled" and "position in the publish order", and the closing
summary names the member count alongside the published and skipped
totals.
2026-08-14 16:10:06 +08:00
2026-08-13 15:32:38 +08:00
2026-08-13 15:32:17 +08:00
2026-08-13 13:07:24 +08:00
2026-08-13 15:32:13 +08:00
2026-08-13 13:07:24 +08:00
2026-08-13 18:37:45 +08:00
2026-08-13 18:37:45 +08:00
2026-08-13 18:29:09 +08:00
2026-08-13 01:35:47 +08:00

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

Contributing

See CONTRIBUTING.md.

Development

Start with the development guide and architecture documentation.

For agents, follow AGENTS.md.

License

MIT

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

S
Description
No description provided
Readme MIT
145 MiB
Languages
TypeScript 97.2%
CSS 1.4%
Python 0.7%
JavaScript 0.6%