Expired50% confidenceFactExact time
State-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.
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 (FSM) 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.82% similarUnverifiedThe classic paradigm of Agent workflows is the separation of the planning layer and the execution layer, where the planning layer is responsible for understanding goals, decomposing tasks, and generating execution plans, while the execution layer handles actual operations via dedicated tools or smaller models.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.70% similarUnverifiedAgent本质上是一个有状态、有边界、能追踪的工作流70% similar
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