Unverified50% confidenceFactExact time
Mainstream agent frameworks typically use a large language model as the brain, working in conjunction with three major components: tool calling, a memory module, and task planning.
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50%
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Long-term
Relevance
10/7/2026
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Verified智能体范式引入了工具调用、记忆、规划与反思四大核心模块79% similarUnverifiedEmbodied intelligence is giving rise to a brain-plus-cerebellum technical architecture: large language models or vision-language models handle high-level task planning, while motion policies trained via reinforcement learning handle low-level motion control.78% similarUnverifiedThe paper's framework is built on a general agent architecture, describing agent behavior as a combination of cognitive functions organized around long-term memory containing evolved knowledge.77% similarUnverifiedPlanning capability relies on large language model Chain-of-Thought (CoT) reasoning, tool invocation is implemented via Function Calling or plugin mechanisms, and the orchestration layer plays the role of a workflow engine.75% similarUnverifiedThe core architecture of programming agents typically includes a perceive-plan-execute-reflect loop mechanism.74% similar
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