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
Structured records over REST with a remote MCP server agents can read and write
Reactive TypeScript backend with a built-in agent and durable workflow components
Embedded and cloud multimodal vector store built on the Lance columnar format
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
Same query as JSON: /api/v1/services?category=rememberAdd to Claude Code:claude mcp add botfriendly …