Expired50% confidenceFactExact time
State-based Agents draw on the concept of finite state machines (FSM) and are widely applied in frameworks such as LangGraph.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
7/10/2026
First Seen
This claim has expired. It is kept for the record and no longer describes the current state.
Valid until: 10/8/2026(expired)
Sources
Related Claims
UnverifiedState-based Agents draw on the concept of finite state machines to manage multi-step workflows by explicitly defining state nodes and transition conditions, and are widely applied in frameworks such as LangGraph.85% similarUnverifiedThe Agent Loop can be modeled from a computer science perspective as a Finite State Machine, where each node represents a state and edges represent state transition conditions.70% similarUnverifiedAgent frameworks compensate for the inherent limitations of large language models through tool calling, retrieval-augmented generation (RAG), memory management systems, and planning and reflection mechanisms.68% similarUnverifiedThe Planning module of an Agent is typically implemented based on reasoning frameworks such as Chain-of-Thought (CoT) or ReAct.66% similarUnverifiedLLM-based Agent可以通过自然语言反思在极少次尝试中实现策略优化，这被学术界称为'反思型Agent'（Reflexion）架构66% similar
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