Tianyi Cui
e105557046
Sequential corpus migration waits for each Session to finish I/O and publication verification before starting the next. Use a bounded queue with one shared persistence Context, defaulting to available CPU count capped at 16. Expert --jobs overrides accept any positive safe integer. Stable input indices and separate completion counts keep interleaved progress useful for large corpora without opening every log simultaneously. A concurrently upgraded child can invalidate its parent evidence. Preserve the backend revision checks and defer only the explicit source-change error for one serial retry after initial work drains. Corruption, unsupported formats and writer locks remain failures; historical files and existing V4 data remain unchanged. Deterministic scheduler tests cover 10,000 inputs, bounded overlap and retry ordering, while real raw/zstd corpora verify parent catalogs and serial-equivalent output. Performance timing was stopped at user request because the host has competing workloads.
DeepSeek Harness
English | 中文
DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI.
It is built on an everything-is-a-plugin architecture and powered by Cordis, whose design is described in A Programming Paradigm for Spatiotemporal Composability.
Documentation: https://deepseek-harness.github.io/deepseek-harness/
Developer preview
DeepSeek Harness is in developer preview and iterating rapidly. THERE WILL BE COMPATIBILITY-BREAKING CHANGES.
Review the safety notice before running the project.
Run
Run from npm
Install Node.js, then run:
npx @deepseek-ai/dsh web
The command starts the Web UI at http://127.0.0.1:3080 by default and opens it in the default browser for a local launch. An SSH launch only prints the host URL because the SSH client or editor owns the local forwarded address. Pass --no-open to run the server without opening a browser. 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
pnpm run build prepares the repository artifacts. pnpm dsh web uses those built artifacts without rebuilding.
Community and support
- 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.
Citation
@misc{deepseek-harness2026,
title={DeepSeek Harness: Everything is a Plugin},
author={DeepSeek-AI},
year={2026},
publisher={GitHub},
howpublished={\url{https://github.com/deepseek-ai/deepseek-harness}},
}
License
Third-party dependencies and their licenses are disclosed in THIRD_PARTY_NOTICES.md.