dsh-weneed

In the DeepSeek Harness ecosystem, the reasoning style of agents significantly impacts task performance. Traditional reasoning may lack structured guidance, leading to unclear or less actionable thinking processes. The dsh-weneed plugin addresses this by seamlessly injecting the 'we need' mode's chain-of-thought guidance into agent reasoning. Derived from the open-source project oh-we-need, this guidance emphasizes first-person, task-oriented thinking, making agent outputs more focused and executable.

The plugin's core capability lies in its three flexible integration methods: via the weneed tool or /weneed command, users can toggle the guidance injection on or off with a single click; the WeNeed agent-preset allows permanent assembly into new sessions for consistent reasoning styles. This design suits both quick trials and long-term deployments, enhancing agent reasoning quality without complex configuration.

Whether you're a DeepSeek Harness developer, AI researcher, or end-user aiming to optimize agent performance, dsh-weneed offers a lightweight solution. It is especially valuable for scenarios requiring complex task planning, traceable reasoning, and structured thinking styles. With simple controls, you can enable agents to decompose problems and formulate steps more efficiently under the 'we need' mode, thereby improving overall interaction effectiveness.