DeepSeek Ships DeepSeekHarness Desktop: Plugin Core, Agent Teams, and DSec Training Sandbox
赛博禅心 · wechat · 2026-09-29
DeepSeek released DeepSeekHarness desktop for Windows and Mac, preloaded for office and coding tasks with built-in Node/Python runtimes, common libraries, and LibreOffice.
Hands-on highlights:
- Local-folder workspace with file operations; a 5-slide PPT test took 3 minutes, 660K tokens, 96% cache hit, with automatic retry via PDF rendering
- Full session timeline of prompts and tool calls; sessions support resume, fork, and replay
- Cordis plugin kernel: models, tools, and even the UI are plugins; install via npm package name in a management page, plus a dsh CLI
- Four modes including PTC (model writes TypeScript to chain tool calls) and a creative mode that generates plugins from conversation
- Experimental plugins: scheduled automation, agent teams (3 parallel researchers, 5 min/1.6M tokens in test), model-based authorization review, voice input
- 60% of users have tried third-party plugins per official stats
Training side: DeepSeek also published the DSec (DeepSeek Elastic Compute) sandbox infrastructure report on arXiv — all DeepSeek-V4 training/eval runs inside DSec, whose three-layer image architecture avoids rebuilding all images on toolkit updates; from V4.1 the agent execution loop runs outside the GPU training pod so preempted training doesn't halt agents.
Related event: DeepSeek Quietly Launches Harness Desktop GUI(2 posts)→
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