Unverified50% confidenceBenchmarkExact time
Using FSM states as context for a next-step prediction task outperformed Agent Workflow Memory (AWM) on every dataset with ground-truth matches.
1
Sources
50%
Confidence
Long-term
Relevance
9/12/2026
First Seen
Sources
Related Entities
Related Claims
Unverified对于LLM推理场景，最务实的策略是通过FFM委托C层执行计算密集型任务，而非依赖Vector API74% similarUnverifiedLangGraph将FSM的状态概念扩展为可携带任意数据的TypedDict对象，每个节点执行后返回状态的增量更新，由框架负责合并72% similarUnverifiedThe core model of an FSM consists of five elements: a set of states, an input alphabet, a transition function, an initial state, and an accept state.67% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/911586API
curl https://kongchang.com/api/v1/knowledge/claims/911586MCP
get_claim(id=911586)