dsh-fusion

In DeepSeek Harness, users often juggle multiple sessions, leading to fragmented and repetitive conversation contexts that are hard to integrate. dsh-fusion addresses this by fusing the current model surfaces of two or more sessions into one independently titled, durable, and continuable conversation, enabling seamless consolidation of dialogue history to boost productivity and tracking.

Key capabilities include supporting 2–32 session fusions with chronological or source-based ordering, intelligent deduplication of shared fork prefixes, and projection of user and assistant text messages. It offers optional intelligent agent planning that evaluates fusion value, prunes, groups, and sorts content, while inheriting caller settings like working directory and model options. These features make the process flexible and reliable, supporting both manual and automated modes.

dsh-fusion is ideal for DeepSeek Harness developers, researchers, and team collaboration scenarios. Whether managing complex projects, consolidating research notes, or handling multi-threaded discussions, it provides an efficient way to aggregate content. By creating a unified session, users can more easily track progress, avoid information fragmentation, and leverage conversation history for ongoing discussions or analysis.