mirror of
https://github.com/deepseek-ai/deepseek-harness.git
synced 2026-09-13 04:03:30 +00:00
creatixchu
c530de9edc
master introduced AttachmentStore.saveImages as the batch admission (count/aggregate-byte/media-type limits, validate-all-before-save, ordered commit). admitEncodedImages narrows to the shared wire entry: canonical-base64 enforcement plus delegation to saveImages, keeping one home for batch policy while both wire endpoints (prompt RPC and the command executor) still call one function. Test doubles gain saveImages; batch-limit error texts follow saveImages' wording.
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, 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.