Unverified50% confidenceSolutionExact time
Because 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.
1
Sources
50%
Confidence
Long-term
Relevance
9/24/2026
First Seen
Sources
Related Entities
Related Claims
VerifiedThe memory system is divided into three levels: short-term memory, long-term memory, and working memory, with working memory typically implemented through a Scratchpad mechanism.79% similarVerifiedAn agent's long-term memory can be subdivided into three categories: episodic memory, semantic memory, and procedural memory.77% similarUnverifiedThe autonomous memory management system consists of three core backend components: the ledger (an append-only immutable raw log), the view (a parseable data layer), and the policy node (the control brain of the memory pipeline).76% 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% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/946496API
curl https://kongchang.com/api/v1/knowledge/claims/946496MCP
get_claim(id=946496)