DeepSeek Agent Starts with Harness
Download and launch DeepSeek Harness (DSH), configure a model and workspace, extend it with plugins, and run your first Agent.
Independent DeepSeek AI Agent guide — not affiliated with or endorsed by DeepSeek.
What is DeepSeek Harness?
DeepSeek Harness (DSH) is DeepSeek's official open-source agent harness. It is not a new model; it is the runtime that helps models understand environments, use tools, and keep working on tasks.
Models, tools, skills, sessions, sandboxes, storage, agent loops, and the UI are all plugins that can be swapped and recomposed.
$ npx @deepseek-ai/dsh web
How to Use DeepSeek Harness
Launch the DeepSeek Harness Web UI, configure a model and API key, then choose a workspace and runtime mode for your first task.
- Step 1
Launch DeepSeek Harness
With Node.js installed, run npx @deepseek-ai/dsh web and the Web UI opens in your browser. Use the community DSH Desktop installer if you prefer a bundled runtime.
- Step 2
Configure a model and API key
Open Models, add a provider, enter its API key, and choose a model. Use a built-in provider or add a custom service with its base URL, protocol, and model ID.
- Step 3
Choose a workspace and run a task
Create a session, choose a workspace, model, and Standard, Code, Minimal, or Creator mode, then enter your task. Install plugins and compose a Profile when you need more capabilities.
DeepSeek Harness Plugins and Themes
Once Harness is running, extend its capabilities with plugins and personalize its interface with installable themes.
See what people are building with DeepSeek Harness
Explore reviewed Agents and presets built on DeepSeek Harness—from research and writing to engineering and specialist workflows.

codsh
A terminal coding Agent composed on DeepSeek Harness, with a /ship workflow that turns one-line requirements into approved specs, implementation slices and verified code.

deepseek-aix
A DeepSeek Harness fork with an aixlab preset for conversational, multi-source scholarly literature research.

Vibe Mathematics
Two native DSH presets that explore, solve and cross-check mathematical problems with resumable multi-agent workflows.

Multi-Factor Stock-Selection Researcher
An A-share-oriented factor research preset with a methodology skill and deterministic Rust statistics core.
Keep learning after your first run
Follow the current release, audit Agent usage, and configure V4.1 Flash correctly.
DeepSeek Harness v0.1.7-alpha.2
Review session recovery, Agent Team guidance, token-aware truncation, and reconnect fixes.
Read guide →DeepSeek Harness v0.1.7-alpha.1
Migrate Session V4, Messages API, plugin-based Presets, and Profile settings.
Read guide →Agent Harness Context Privilege Escalation
Trace how tool output can become privileged memory, skills, and cross-project context.
Read guide →DeepSeek Harness v0.1.6-alpha.2
Review Plugin Manager, sidebar previews, vision fixes, Sub-agent bounds, and migration changes.
Read guide →
DeepSeek Harness questions
The essentials before installing, extending, or building with DSH.

