Unverified85% confidenceFactTime unknown
Hermes Agent使用数据库的FTS5扩展做全文索引进行历史对话检索
1
Sources
85%
Confidence
Long-term
Relevance
6/3/2026
First Seen
Sources
Related Entities
Related Claims
Partially VerifiedHermes Agent uses vector databases (such as ChromaDB or Qdrant) to convert conversation history and knowledge fragments into high-dimensional vectors for storage and semantic retrieval73% similarUnverifiedHermes's memory system comprises a base layer of Memory.md and User.md, a session database using SQLite with FTS5 full-text search, and 8 optional external memory providers.63% similarUnverifiedAgentChat同时集成了Milvus向量数据库和ElasticSearch全文搜索引擎实现混合检索61% similarUnverifiedGraph databases (such as Neo4j and Amazon Neptune) use nodes and edges as their native data structures, allowing multi-hop queries without the need for expensive table join operations.60% similarUnverifiedMainstream graph database products include Neo4j and Amazon Neptune, which use the Cypher query language, as well as Weaviate, which is optimized for AI scenarios.59% similar
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