DeepSeek Harness is an open-source agent runtime built specifically for developers and AI engineers seeking modular control over their AI systems. Operating under the core philosophy that everything is a plugin, this platform delivers granular control for building, testing, and deploying custom AI agents.
With DeepSeek Harness, developers can customize and swap virtually any component in the architecture. Models, tools, prompts, storage mechanisms, the core agent execution loop, and even the user interface itself function as modular plugins. This composable setup allows developers to assemble highly tailored agent presets and custom profiles to suit specific project needs.
Beyond customization, the framework provides robust features for programmatic tool calling and session management. By keeping a comprehensive event log of all actions, developers can easily recover and replay agent sessions, making the testing and debugging process significantly more streamlined.
DeepSeek Harness is an open-source agent runtime designed for developers and AI engineers, allowing them to construct AI agents utilizing a highly composable, plugin-based architecture.
Virtually every system component can be configured as a plugin, including models, tools, prompts, storage systems, the core agent execution loop, and the user interface.
Yes. DeepSeek Harness maintains a comprehensive event log of all actions, enabling developers to easily recover and replay agent sessions during testing and debugging.
The platform supports programmatic tool calling, allowing for the seamless execution and integration of external tools alongside your configured agent presets.
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