Unverified60% confidenceFactExact time
In the MAS paradigm of the LLM era, each Agent uses an LLM as its core reasoning engine, and is capable of dynamically planning action sequences, invoking external tools, and negotiating with other Agents.
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60%
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Long-term
Relevance
7/20/2026
First Seen
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Related Claims
UnverifiedThe architecture that combines explicit flows with LLM reasoning is often called a hybrid Agent or orchestrated Agent, with the orchestration layer responsible for passing data and control flow between the two.78% similarUnverifiedIn the era of large models, each Agent can be a specialized LLM instance with domain-specific knowledge and task capabilities.77% similarUnverifiedThis Agent adopts a hybrid strategy: using explicit flows for predictable tasks and LLM reasoning for ambiguous requests.76% similarUnverifiedCombining LLMs with tool calling, memory mechanisms, and planning capabilities forms an Agent with autonomous action capabilities.76% similarUnverified现代LLM Agent的核心逻辑可归结为一个循环：接收目标、调用LLM、解析输出、执行工具、重复迭代75% similar
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