Inside the xAgent Agent Harness, Part 1: How Sessions Understand Task Changes
Many Agent systems describe a harness as one loop: send a user message to a model, execute the Tool Call returned by the model, and send the result back. That loop matters, but it does not answer an earlier question. Does the user's next message continue the current task, change the phase within the same Session, or fall outside the responsibility of this specialist Session?
xAgent handles that question before the business Agent loop. The original input first becomes a Session fact. One constrained semantic call then returns a task relationship together with Skill, Tool, and Memory recall terms. Brain applies a deterministic state transition, and Orchestrator adds capabilities only when the task is first established or its phase changes.
This task-understanding, AI agent tool selection, and environment-preparation path shipped in 0.0.10.beta. This article explains its responsibility boundaries and execution order inside the Harness.