Long-running agent sessions eventually hit the same problem: the model keeps accumulating chat history, tool outputs, intermediate decisions, and execution traces until the prompt becomes expensive or unstable. AIClaw has a built-in answer for that problem. It does not simply drop old messages. It compresses the middle of the conversation into a structured summary and keeps the parts that still matter for the next step.
This is not a new release post. It is a deeper look at one existing AIClaw runtime feature: context compression.
The Problem
AIClaw is designed for tool-using work, not short chatbot replies. A single task can include:
multiple rounds of shell or browser tool calls
