"Memory" matching MCP connectors:
GET /v1/connectors – MCP directory API referenceMatching Connector Tools:
Engram is a persistent, long-term memory layer for AI agents and assistants. Claude, ChatGPT, Grok, Cursor and any MCP client share one memory, stored as plain markdown notes: your knowledge base, second brain and AI context in one place. No extraction step: the memory is the note itself, so you can read exactly what your AI remembers and fix it. Edit your memory in Obsidian (real-time sync), the web app, or on your phone. Hybrid keyword + semantic search (RAG over your notes) finds exact strings like error messages, config keys and IDs. Remote MCP server over Streamable HTTP with OAuth 2.1; notes encrypted at rest. Https://engram.page https://youtu.be/rwnPeZ-8Lqo?is=NI-N7BduydGAiZlF https://github.com/engram-app/Engram
graphrag-ts is a TypeScript GraphRAG engine on PostgreSQL/pgvector, served as a Streamable HTTP MCP endpoint. Public read tier needs no credentials (20 req/min per IP): integrity_paper_status, retraction_propagation, integrity_evidence_audit. A bearer key unlocks graph query, global map-reduce, index jobs and memory writes. Free browser demo: https://huggingface.co/spaces/ashesborn6/retraction-status
A second brain for your AI agent. Shared memory for your team's AI agents, plus public and private knowledge bases — works with ChatGPT, Claude, Cursor and any MCP client.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Document reader for AI agents: PDF text and tables, Word paragraphs, metadata, and OCR for scanned files and images. Runs in memory and stores nothing. Requires a Bearer token.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Recall memories, entity profiles and source notes from your Locul cloud brain in any AI chat.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
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.
Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Long-term memory for AI assistants. Isolated per-user storage, recall across conversations.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
Agent-first resource directory for AI agents: protocols, security, RAG, memory, evals, and more.
Self-hosted AI workspace: semantic RAG document search, long-term memory, and AI chat via MCP.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Shared persistent memory for AI agents to read, verify, continue, and connect knowledge.
Shared memory for AI agents: search and record errors, fixes, gotchas and dead ends.
Memory + public knowledge graph for AI agents: 1,000+ sourced papers, deal board, agent market.
Private, self-describing memory for agents: one house per customer, on a machine of its own.
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.
Team memory for coding agents: rules you approve, served to every agent, and which ones it cited.
Long-term memory for AI agents: learns what is true about each person and answers with sources.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Atlaso, the AI memory layer: one shared, persistent memory for every AI tool you connect.
Shared cross-LLM long-term memory over MCP: semantic recall, sessions, and media (pgvector).
Free MCP: relationship_memory validate, store (local), retrieve — portable interlocutor cards v1.
Persistent cloud memory for Ai coding assistants. 33 MCP tools, 85% accuracy on LoCoMo benchmark. Semantic search, auto-skills, knowledge graph, quantum-safe encryption. Works with Claude Code, Cursor, Windsurf, and any MCP client.
