Description
DeepSeek Harness (dsh) is an open-source agent harness developed by DeepSeek AI, designed to provide a flexible and customizable environment for building AI agents. The core concept of dsh is that everything is a plugin, allowing users to swap out capabilities and integrate various models seamlessly. This plugin-based architecture enables developers to create agents that can adapt to different tasks and workflows, making it a powerful tool for teams looking to maintain control over their agent runtime.
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The harness operates on a framework called Cordis, which manages the mounting and unmounting of plugins, ensuring that the agent can utilize various tools and models effectively. With dsh, users can create a workspace that includes a tool registry, sandboxing capabilities, and an append-only session log that tracks all interactions. This allows for a detailed audit trail and the ability to resume or fork sessions as needed.
DeepSeek Harness is particularly beneficial for teams that prefer to own their agent runtime rather than relying on closed systems. It is ideal for plugin authors who want to build and publish capabilities, as well as for internal platforms that require an inspectable agent loop behind their own user interfaces. However, it is not recommended for production deployments that require API stability, as the core plugins and APIs are still evolving.
The installation process is straightforward, requiring just a few commands to set up the Web UI and configure the necessary models. Users can start with a local instance and expand their capabilities by integrating various plugins from the community. The harness supports multiple operating systems, including Linux, macOS, and Windows, and is built using TypeScript, running on Node.js.
Overall, DeepSeek Harness (dsh) represents a significant step forward in the development of customizable AI agents, providing a robust framework for experimentation and deployment in diverse environments.
- CategoryAI Agent Builders
- Pricing ModelOpen source
- DeploymentSelf-hosted
- PlatformsLinux, macOS, Windows
DeepSeek Harness (dsh)'s Core Features
Open Source
Plugin-based architecture
MIT licensed
Supports Node.js 22.19+ or 24+
Built on Cordis framework
Append-only session log
Customizable agent runtime
Supports multiple operating systems
How to use DeepSeek Harness (dsh)?
Start the Web UI: Run 'npx @deepseek-ai/dsh web' to launch the local interface.
Configure models: Enter your DeepSeek API key in the settings to enable model routes.
Choose a workspace: Select a project directory to make the session composer available.
Install plugins: Use 'dsh plugin add <package>' to extend your agent's capabilities.
DeepSeek Harness (dsh)'s Use Cases
- Custom AI Agents
- Plugin Development
- Internal Platforms
- Model Evaluation
- Flexible Task Execution
