Understand DeepSeek Harness
8 min Agent = Model + Harness and the problem DSH solves.
Goal
By the end of this chapter you can explain DeepSeek Harness (DSH) to a teammate in one minute — including why it is not “just another model”.
The problem coding agents hit
Large language models are strong at reasoning and drafting code, but they do not automatically see your repo, run shell commands, or keep a durable session with tool results. Without a harness, every product reinvents file access, tool calling, permissions, logging, and UI.
Agent = Model + Harness
- Model: plans, writes, and decides.
- Harness (DeepSeek Harness / DSH / DS Harness): connects the model to the real world — files, terminal, skills, sandboxes, storage, scheduling, and the Web UI.
DSH’s distinctive claim is everything is a plugin: those capabilities are Cordis plugins composed in configuration, not a single hard-coded binary.
What this site covers vs official sources
This independent community portal rewrites install paths, architecture, modes, and comparisons for SEO-friendly learning. For release tags and CLI flags, always verify deepseek-ai/deepseek-harness and the official Harness page.
Aliases people search
Queries like “DeepSeek Harness”, “DSH”, “DS Harness”, and “deepseek-harness” usually mean the same project. Generic “harness” alone is ambiguous — we always bind it to DeepSeek / coding-agent context.
Next
Continue to Install & environment so you can launch the Web UI safely.
Continue with DeepSeek Harness
Return to install steps, explore run modes, or open the plugin directory when this chapter references extensions.