DeepSeek Harness: Everything Is a Plugin

DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI. The model thinks; the harness acts. In this framework, models, tools, skills, sessions, sandboxes, storage, agent loops, schedulers — even the UI — are all plugins.

Key facts

What it is An open-source agent harness (runtime) that connects LLMs to real work: files, tools, shell commands, permissions, long-running tasks.
Core idea Model + Harness = Agent. Everything is a plugin, powered by the Cordis plugin meta-framework.
Status v0.1 developer preview released August 13, 2026, under the MIT license. Rapid iteration; breaking changes expected.
Four modes Standard (everyday tasks), Minimal (benchmarking, shell + file editing only), PTC (programmatic tool calling), Creative (experiment with plugins in-memory).
Official links deepseek.com/harness · github.com/deepseek-ai/deepseek-harness

Quickstart install

Requires Node.js (22.19+ on 22.x, or 24+; check the official README). Then run:

npx @deepseek-ai/dsh web

Open http://127.0.0.1:3080 in your browser. To build from source:

git clone https://github.com/deepseek-ai/deepseek-harness.git
cd deepseek-harness
pnpm install
pnpm run build
pnpm dsh web

Note: the harness itself is free (MIT), but you will still need to configure a model service for agents to execute tasks. See the Chinese install guide for troubleshooting tips.

More from this site (Chinese)

What is DeepSeek Harness?

Architecture, Model + Harness = Agent, the four modes, and core capabilities — in Chinese.

Plugin ecosystem

How the plugin system works, where to find community plugins, and how to publish your own.

vs Claude Code / Codex

Open-source plugin architecture versus polished closed-source products: an objective comparison.

FAQ

Free? MCP relationship? Model support? Production readiness? Quick answers.

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