Unverified50% confidenceFactExact time
The two datasets of HiCoMER are designed to cover agent teams of different scales and different frequencies of memory updates
1
Sources
50%
Confidence
Long-term
Relevance
9/28/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe research team constructed two new datasets oriented toward collaborative scenarios and based on memory-grounded QA to evaluate HiCoMER73% similarUnverified共享记忆在多智能体系统中通常通过向量数据库实现，将经验转化为高维向量嵌入存储于 Pinecone、Weaviate、Chroma 等向量数据库中，供其他智能体通过语义相似度检索调用63% similarVerifiedMainstream industry solutions for long-term memory include embedding-based vector retrieval, knowledge-graph-based structured storage, and hybrid architectures combining both.59% similarUnverifiedCosmonapse 通过围绕模型调用的 recall（召回）和 imprint（写入）钩子实现记忆管理，对应 RAG 管道向量数据库的相似度检索与嵌入写入两个核心操作58% similarVerifiedThere are generally two approaches to implementing persistent memory: the vector database approach (retrieving by semantic similarity) and the structured storage approach (saving in key-value pair format).57% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/955605API
curl https://kongchang.com/api/v1/knowledge/claims/955605MCP
get_claim(id=955605)