Unverified50% confidenceSolutionExact time
An Agent Loop's memory is not unlimited; when the task chain is very long, memory needs to be managed through summary compression, external vector database retrieval, or sub-Agent isolation to cope with context window overflow.
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50%
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Long-term
Relevance
10/24/2026
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Related Claims
VerifiedAn agent's long-term memory can be subdivided into three categories: episodic memory, semantic memory, and procedural memory.74% similarUnverifiedWhat information goes into the context window, what is persisted to external storage, and what is simply discarded—this decision about the boundary between state and memory directly affects the Agent's performance on long tasks.73% similarUnverifiedIn an agentic loop, the full historical state must be fed back to the model every round, and since the context window is limited and attention decays with length, the longer the loop, the more easily the model forgets what it has done and what remains.73% similarUnverified在Agent Loop中如果只将工具结果塞回messages而漏掉assistant消息，模型会陷入无限循环，不断重复调用工具73% similarUnverifiedThe memory system injects long-term rules and the current task through separate channels, structurally alleviating the dual losses of the context window being filled up and lost in the middle.72% similar
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