"memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Give your agents your team's real data — read the shared graph, propose actions your team approves.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Memwyre is an MCP-native persistent memory layer for AI agents, synchronizing context across Claude Code, Cursor, VS Code, and OpenClaw. Built with a high-precision retrieval architecture (dense vector search, BM25, and cross-encoder reranking), Memwyre achieves a benchmarked 73.1% accuracy on the Long-Context Memory (LoCoMo) benchmark. It provides secure, isolated knowledge vaults with dedicated tools (search_memwyre, save_memory, list_memories) to save and recall structured project decisions.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Persistent semantic memory for AI agents: store and recall text by meaning (RAG). x402
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Shared semantic graph for AI reviews, classification and structured memory across AI assistants.
Collective memory for AI agents. One agent solves a bug — every agent gets the fix instantly.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Historical market memory for AI agents using semantic vector search across years of financial market data. Discover similar market regimes, price patterns, and market context for quantitative research and algorithmic trading.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
AI session memory: the brief your AI reads before every session so no session starts cold.
Persistent semantic memory storage, associative recall, and recent memory index by namespace.
AI memory layer — one shared, persistent memory across every AI tool you connect.
Company brain for AI agents — temporal knowledge graph search, exploration, and durable memory.