DeepSeek has released DeepSeek Harness v0.1, an AI agent harness.



Chinese AI startup DeepSeek has released ' DeepSeek Harness, ' a harness designed to ensure the safe and reliable operation of its AI agents. The codebase is also open source under the MIT license.



DeepSeek Harness developer preview: Everything is a plugin
https://deepseek.com/harness/en/

GitHub - deepseek-ai/deepseek-harness: DeepSeek Harness: Everything is a Plugin. · GitHub
https://github.com/deepseek-ai/deepseek-harness

An AI agent that not only processes given tasks but also makes autonomous decisions and operates while utilizing tools as appropriate consists of an AI model and a harness. The AI model part corresponds to the 'brain' that performs reasoning and decision-making, while the harness includes all the elements surrounding the model, such as the tools and workspace necessary for the brain to move towards task processing, and memory to store past contexts.

What is an AI Agent Harness? | Databricks Blog
https://www.databricks.com/blog/ai-harness

'DeepSeek Harness' is based on the meta-framework Cordis and is built around the core idea that 'everything is a plugin.' Models, tools, skills, sessions, sandboxes, file systems, loops, collaborations, and UI are all implemented as plugins, which can be freely rearranged, replaced, and extended.

Furthermore, 'all execution is traceable,' meaning that all information recognized by the model, from prompts to inference, tool calls and results, sub-agent scheduling, and all context additions are recorded in an append-only session log. In 'Trajectory,' you can review the recorded content source by source.



DeepSeek Harness has multiple execution modes: Standard mode includes the full toolset; Code mode uses the code generated by the model to coordinate multiple tool calls; Minimal mode provides only shell tools and a file editor for benchmarking the model in a minimal environment; and Creator mode allows you to check the current execution environment, test Cordis plugins in memory, and combine them to create new modes.



in AI, Posted by logc_nt