dsh-asc: A DeepSeek Harness Plugin That Lets the Model Decide Context Compression

# Introduction Long conversations are an inevitable challenge in agent development: with multi-round tool calls and a large accumulation of intermediate results in the context, the window quickly fills up after a few rounds. The common approach is to set a threshold; upon triggering, the system performs automatic summarization—the model itself has no say in what is discarded or retained, which is entirely determined by external rules. dsh-asc follows a different approach: it allows the model to decide when and what to compress. Every compression is executed as a replacement of events with persistent session logs, making the process replayable, searchable, and reversible. DSH's philosophy is "everything is a plugin," and compression is no exception. Below, we introduce the positioning, operation, installation steps, and considerations for this plugin. # What is it The full name of dsh-asc is DeepSeek Harness Agentic Surface...