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DeepSeek Harness official website launched

DeepSeek launched the developer preview of DeepSeek Harness, an open-source agent harness built on Cordis's plugin system, with source code available on GitHub. The harness treats every capability—models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and UI—as swappable plugins and records all model interactions in an append-only session log for traceability. Developers can start with `npx @deepseek-ai/dsh web` or clone the repository, and the preview supports four runtime modes: Standard, Code, Minimal, and Creator.

read3 min views1 publishedAug 13, 2026

DeepSeek Harness developer preview

DeepSeek Harness is now in developer preview for agent harness developers worldwide — source code included.

Every capability is a plugin that can be swapped or recomposed: models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI.

$ npx @deepseek-ai/dsh web
bash
$ git clone https://github.com/deepseek-ai/deepseek-harness

Harness #

keeps agents working in real-world environments

The model is the soul of an agent.

A harness lets an agent understand its environment, use tools, and keep working in real-world settings.

Everything is a plugin. Every run is traceable. #

Everything is a plugin

DeepSeek Harness is built on Cordis's plugin system. Plugins provide every agent capability, including models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI. Cordis services and events let the plugins work together. Developers can select, swap, or extend any capability in configuration without changing the DeepSeek Harness source code.

Every run is traceable

Everything the model sees is recorded in an append-only session log: system prompts, reasoning, tool calls and results, subagent scheduling, and every context injection. In the Trajectory view, you can inspect these records by source. Resume, fork, search, and replay all operate on the same event stream.

Multiple runtime modes

Standard mode includes the full toolset. Code mode uses model-generated code to orchestrate multiple rounds of tool calls. Minimal mode keeps only a shell tool and a file editor for benchmarking models in a minimal environment. Creator mode lets you inspect the current runtime, test Cordis plugins in memory, and combine them into new modes.

Everything is a plugin. Every run is traceable. #

Everything is a plugin

DeepSeek Harness is built on Cordis's plugin system. Plugins provide every agent capability, including models, tools, skills, sessions, sandboxes, storage, loops, scheduling, and the UI. Cordis services and events let the plugins work together. Developers can select, swap, or extend any capability in configuration without changing the DeepSeek Harness source code.

Every run is traceable

Everything the model sees is recorded in an append-only session log: system prompts, reasoning, tool calls and results, subagent scheduling, and every context injection. In the Trajectory view, you can inspect these records by source. Resume, fork, search, and replay all operate on the same event stream.

Multiple runtime modes

Standard mode includes the full toolset. Code mode uses model-generated code to orchestrate multiple rounds of tool calls. Minimal mode keeps only a shell tool and a file editor for benchmarking models in a minimal environment. Creator mode lets you inspect the current runtime, test Cordis plugins in memory, and combine them into new modes.

Customize your DeepSeek Harness #

Try it now or install from source #

Quick start

Install Node.js, then launch the Web UI with npx.

$ npx @deepseek-ai/dsh web

Install from source

Clone the full source and follow the setup instructions in the repository.

$ git clone https://github.com/deepseek-ai/deepseek-harness

Join the DSH plugin ecosystem #

DeepSeek Harness remains in developer preview and is still being tested by developers building agent harnesses. Its core plugins and APIs will continue to evolve. We look forward to exploring the limits of intelligence with developers worldwide using open-source infrastructure that is reusable and composable.

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