 Open-source embedding database with Chroma Cloud and an official MCP server MCPOpenAPIllms.txt | vector-db+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Open-source memory engine that builds a queryable knowledge graph from documents, code, and conversations MCPOpenAPIllms.txt | agent-memory+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Stateful agent runtime where memory is the agent — self-editing core memory, archival recall, and a REST API MCPOpenAPIllms.txt | agent-memory+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Managed memory layer that extracts, dedupes, and retrieves long-term memories per user, agent, or session MCPOpenAPIllms.txt | agent-memory+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Serverless Postgres with instant branching, autoscaling, and a remote MCP server MCPOpenAPIllms.txt | database+4 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Managed vector database with serverless indexes, integrated embedding, and an assistant MCP server MCPOpenAPIllms.txt | vector-db+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Open-source vector search engine with managed cloud and an official MCP server MCPOpenAPIllms.txt | vector-db+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Postgres with pgvector, auth, storage, edge functions, and a remote MCP server MCPOpenAPIllms.txt | database+4 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Serverless Redis, Vector, and QStash with per-request pricing and an official MCP server MCPOpenAPIllms.txt | redis+4 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Temporal knowledge-graph memory (Graphiti) with bi-temporal validity, so agents can query what was true when MCPOpenAPIllms.txt | agent-memory+3 | MCP+2 | — | api-key, Memory | 5/5 | | |
 Reactive TypeScript backend with a built-in agent and durable workflow components MCPOpenAPIllms.txt | database+3 | MCP+2 | — | api-key, Memory | 4/5 | | |
 Embedded and cloud multimodal vector store built on the Lance columnar format OpenAPI | vector-db+3 | OpenAPI | — | api-key, Memory | 4/5 | | |
 LangChain memory SDK for extracting, updating, and retrieving semantic, episodic, and procedural memories | agent-memory+3 | — | — | api-key, Memory | 4/5 | | |
 Serverless Postgres with a remote MCP server for provisioning and querying databases MCPOpenAPIllms.txt | database+3 | MCP+2 | — | api-key, Memory | 4/5 | | |
 Redis-backed working and long-term memory service for agents, with REST and MCP interfaces MCPOpenAPIllms.txt | agent-memory+4 | MCP+2 | — | api-key, Memory | 4/5 | | |
 Memory API and MCP server for coding and chat agents, with document ingestion and semantic recall MCPOpenAPIllms.txt | agent-memory+3 | MCP+2 | — | api-key, Memory | 4/5 | | |
 Object-storage-native vector and full-text search, priced for very large, mostly-cold indexes OpenAPIllms.txt | vector-db+3 | OpenAPI+1 | — | api-key, Memory | 4/5 | | |
 Distributed SQLite with per-tenant databases and edge replication OpenAPIllms.txt | database+3 | OpenAPI+1 | — | api-key, Memory | 4/5 | | |
 Open-source vector database with hybrid search, agents, and a managed cloud tier MCPOpenAPIllms.txt | vector-db+3 | MCP+2 | — | api-key, Memory | 4/5 | | |
 Managed Milvus vector database for billion-scale similarity search MCPOpenAPIllms.txt | vector-db+3 | MCP+2 | — | api-key, Memory | 4/5 | | |