Unverified50% confidenceSolutionExact time
Long-horizon agents require persistent storage of intermediate states in order to resume progress after an unexpected interruption
1
Sources
50%
Confidence
Long-term
Relevance
9/23/2026
First Seen
Sources
Related Entities
Related Claims
Unverified持久化记忆是实现人工介入（Human-in-the-Loop）和断点续传的核心机制，Agent 暂停时状态被持久化，审批完成后可从中断处恢复73% similarUnverified持久化执行引擎将工作流状态序列化到持久存储，即使进程崩溃或服务重启也能从最后一个检查点精确恢复执行70% similarUnverifiedThe state of long-running agents encompasses two dimensions—conversation/memory state and filesystem state—whose persistence mechanisms, recovery speeds, and cost models all differ.70% similarUnverifiedThe checkpoint mechanism allows an agent to save its state at critical steps, so that on error it can recover from the most recent checkpoint rather than starting over.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/944185API
curl https://kongchang.com/api/v1/knowledge/claims/944185MCP
get_claim(id=944185)