"memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Exact, shared memory for multiple AI agents. Azquo is a hierarchical database: each fact is stored once in hierarchies that always total correctly, every write is attributed to the agent and person behind it, and any figure can be traced back to the file and cell it came from. There is no schema to design first - agents build and reorganise the structure themselves - and people work with the same data live in Microsoft Excel. Suited to finance and insurance work, where figures must stand up to review.
Ultra-fast (<2ms) persistent memory workspace with strict tenant isolation, cryptographic provenance, and cross-session synchronization for AI agents in Claude, Cursor, and custom agent fleets.
Persistent knowledge graph for AI-augmented teams. Store decisions, findings, and standing rules across agent sessions with semantic search and typed connections. Includes cross-session memory, audit trail, workspace isolation, and secret detection. Built for teams running agents that need to remember. Free until launch with team tier as default, anon trial available.
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
PostgreSQL, MySQL, OpenAPI/Swagger, and shared Agent Memory with scoped access.
Shared memory for AI agents, as a graph in your own Postgres. Writes never call an LLM.
VaultCrux Memory Core — 32 tools: knowledge, decisions, constraints, signals, coverage
Versioned agent memory in your own Postgres: portable context, permissioned, audit trail.
Persistent agent memory via ACMI — Profile/Signals/Timeline. 16 tools on Upstash Redis.
