Vector DBs, stores, agent memory
Open-source embedding database with Chroma Cloud and an official MCP server
Open-source memory engine that builds a queryable knowledge graph from documents, code, and conversations
Stateful agent runtime where memory is the agent — self-editing core memory, archival recall, and a REST API
Managed memory layer that extracts, dedupes, and retrieves long-term memories per user, agent, or session
Serverless Postgres with instant branching, autoscaling, and a remote MCP server
Managed vector database with serverless indexes, integrated embedding, and an assistant MCP server
Open-source vector search engine with managed cloud and an official MCP server
Postgres with pgvector, auth, storage, edge functions, and a remote MCP server
Serverless Redis, Vector, and QStash with per-request pricing and an official MCP server
Temporal knowledge-graph memory (Graphiti) with bi-temporal validity, so agents can query what was true when
Reactive TypeScript backend with a built-in agent and durable workflow components
Read and write Notion pages and databases via API or the remote MCP server — durable agent knowledge base
Serverless Postgres with a remote MCP server for provisioning and querying databases
Redis-backed working and long-term memory service for agents, with REST and MCP interfaces
Memory API and MCP server for coding and chat agents, with document ingestion and semantic recall
Object-storage-native vector and full-text search, priced for very large, mostly-cold indexes
Distributed SQLite with per-tenant databases and edge replication
Open-source vector database with hybrid search, agents, and a managed cloud tier
Managed Milvus vector database for billion-scale similarity search
Same query as JSON: /api/v1/services?category=remember&has_llms_txt=trueAdd to Claude Code:claude mcp add botfriendly …