Unverified50% confidenceSolutionExact time
The adaptive agent memory system adopts a dual-store structure: the fast layer is an append-only episodic log (preserving immutable evidence), the slow layer is semantic/procedural storage that consolidates recurring content, and migration between the two layers is determined by measured future utility.
1
Sources
50%
Confidence
Long-term
Relevance
10/16/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe state of long-running agents encompasses two dimensions—conversation/memory state and filesystem state—whose persistence mechanisms, recovery speeds, and cost models all differ.77% similarUnverifiedProduction-grade agent memory architecture can be divided into three layers: working memory (active context), persistent state (checkpoints and recovery), and long-term memory (cross-session retrieval), each with different storage, retention, and access patterns.76% similarUnverifiedThe core operations of long-term memory revolve around three actions: storage, retrieval, and update.75% similarUnverifiedCurrent mainstream implementations of long-horizon agents include thought-action loops based on the ReAct framework and augmented architectures combined with external memory storage.75% similarUnverifiedBecause large model context windows are limited, long-horizon agents need to be designed with external memory mechanisms, encompassing three levels: short-term memory, long-term memory (vector database retrieval), and working memory.75% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1044512API
curl https://kongchang.com/api/v1/knowledge/claims/1044512MCP
get_claim(id=1044512)