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DeepSeek Harness (deepseek-ai/dsh) hit 31.2k stars on day one — DeepSeek is now fighting for the agent runtime

DeepSeek open-sourced its own agent harness. One day: 31.2k stars, 2.3k forks, 309 points on the HackerNews front page. MIT licensed, 12,293 commits already in the repo.

What it actually is

An agent runtime you run locally, not a model. npx @deepseek-ai/dsh web starts a Web UI on 127.0.0.1:3080 and you’re talking to an agent. The slogan is “Everything is a Plugin,” and they mean it literally — the model adapter, the tool registry, the session log, the sandbox, the UI, and the agent loop itself are all plugins on top of Cordis, DeepSeek’s spatiotemporal composability framework. Swap the loop from a config file. That’s the pitch.

The plugin SDK is the point

Write a plugin and you register your own tools, your own model provider, your own storage backend. Point it at a local model, wire in an internal API, replace the scheduler. Build from source with pnpm if you want to hack the core.

It’s a developer preview and DeepSeek warns loudly about breaking changes. Doesn’t matter much. The signal is that a Chinese frontier lab stopped shipping only weights and started shipping the layer that runs them — the same layer Anthropic and OpenAI have been quietly locking down.


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