The term "agentic harness" refers to the underlying infrastructure that enables a Large Language Model (LLM) to function as an agent. This harness includes the tools the LLM can access, such as function calling for external context, and the loop mechanism that allows the agent to self-evaluate its progress towards a goal. Essentially, the harness is the invisible plumbing that manages the agent's execution, separate from the user interface. AI
IMPACT Clarifies the technical definition of an "agentic harness," crucial for understanding how LLMs operate as autonomous agents.
RANK_REASON This item explains a technical concept related to AI agents, rather than announcing a new release or significant industry event.
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