Unverified50% confidenceFactExact time
Large language models such as Doubao and DeepSeek can serve as the brain of an Agent, responsible for understanding requirements, decomposing tasks, and making decisions.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/18/2026
First Seen
Valid until: 12/17/2026
Sources
Related Entities
Related Claims
UnverifiedModern agents typically use large language models as the decision-making brain, combined with reasoning paradigms such as ReAct and Chain-of-Thought78% similarUnverifiedWithin an Agent, the LLM serves as the core brain, responsible for understanding natural language, analyzing task requirements, and formulating execution plans.74% similarUnverifiedIn 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.74% similarVerifiedMainstream Agent architectures typically use a large language model as the brain, combined with memory modules, planning modules, and tool interfaces to accomplish complex tasks73% similarUnverifiedAfter the rise of large language models, each Agent possesses natural language understanding and generation capabilities, enabling it to dynamically interpret task instructions and invoke external tools.71% similar
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