Verified65% confidenceFactExact time
In the era of large models, within an Agent architecture, the LLM acts as the brain responsible for reasoning and decision-making, tools act as the limbs responsible for interacting with the external world, and the memory module stores conversation history and intermediate states.
3
Sources
65%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Related Claims
VerifiedModern agents typically use large language models as the decision-making brain, combined with reasoning paradigms such as ReAct and Chain-of-Thought81% similarVerifiedAn Agent in the LLM context typically has four core components: perception, planning, action, and memory78% similarUnverifiedWithin an Agent, the LLM serves as the core brain, responsible for understanding natural language, analyzing task requirements, and formulating execution plans.77% similarUnverifiedCombining LLMs with tool calling, memory mechanisms, and planning capabilities forms an Agent with autonomous action capabilities.77% similarPartially VerifiedMainstream Agent frameworks such as LangChain, AutoGen, and CrewAI are all built around the perception-decision-execution loop.76% similar
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