Unverified50% confidenceFactExact time
In an Agent, the large model is only responsible for receiving messages and outputting messages; what actually performs operations such as file reading and command execution is the Agent Harness.
1
Sources
50%
Confidence
Long-term
Relevance
10/25/2026
First Seen
Sources
Build an Agent Yourself: The Best Path to Understanding AI Agents
bilibili奈月躲猫猫10/25/2026
Related Entities
Related Claims
UnverifiedIn Agent engineering, a harness refers to the core loop that drives the Agent: receiving input, calling the model, parsing output, executing tools, and returning results.75% similarUnverifiedContext refers to all the information that the model receives in a single request after the Agent sends it to the large model.75% similarVerifiedAn Agent's Action capability relies on standardized interfaces such as Function Calling or Tool Use to convert the model's text output into executable API calls.74% similarUnverifiedWithout Function Calling, an Agent can only generate text; with it, the model can proactively obtain real-time information and operate business systems.73% similarUnverifiedAgents driven by large language models do not have cross-session memory; at the start of each task, the context contains only the system prompt, the user task, and the files they are asked to read.73% similar
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