Based on what I've read today, DeepSeek Harness seems to be similar to Pi Coding Agent in design. Both are barebones to start out and rely heavily on plugins. However, 3 things make DSH stand out. 1. Plugins in DSH are required to have cleanup handlers, so I guess you could clean up plugins that are no longer used mid-session and prevent it from interfering with the current task? (unsure about this) 2. DeepSeek V4 models are post-trained on DSH. Given how cheap DS V4 is compared to OpenAI and Anthropic models, running DS V4 in DSH could be much more cost-effective while barely losing performance. 3. It's utilized and maintained by a large lab dedicated to open source AI. It's always nice to get new open source tools from large labs so that we are not always relying on small teams doing the heavy lifting.