Unverified50% confidenceFactExact time
Even stronger models remain highly dependent on external scaffolding, such as memory systems, structured map-state inputs, and manually defined sub-goal decompositions.
1
Sources
50%
Confidence
Medium-term (~90 days)
Relevance
9/28/2026
First Seen
Valid until: 12/27/2026
Sources
Related Entities
Related Claims
UnverifiedLarge models are inherently stateless, so the Harness needs to build a memory system to maintain continuity across conversations and tasks.69% 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.68% similarUnverifiedOne of the core bottlenecks in multi-agent systems is not model capability itself, but information routing and memory management—that is, determining which portion of the parent thread each agent can see.67% similarUnverifiedRelevance retrieval and timeliness management are two mechanisms that need to be designed in conjunction, yet most existing Agent memory implementations only address the former.67% similarUnverified解决帧间不一致的主流方案包括引入时序注意力机制或3D卷积，以及在推理阶段通过外部结构信号提供运动约束66% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/955706API
curl https://kongchang.com/api/v1/knowledge/claims/955706MCP
get_claim(id=955706)