"Information about 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
Bring your saved preferences, project decisions, and useful context into your next AI conversation.
Recall memories, entity profiles and source notes from your Locul cloud brain in any AI chat.
Patent-pending semantic memory for AI agents: quality-gated writes, conflict tracking. Free trial.
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Give your agents your team's real data — read the shared graph, propose actions your team approves.
Search and inspect signed scientific claims, methods, observations, artifacts, provenance, contradictions, retractions, and reproducible admission receipts from a shared memory for AI agents.
Persistent memory and knowledge graphs for AI agents. Hybrid search, context checkpoints, and more.
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.
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.
Cross-vendor AI memory over MCP. One semantic store, readable and writeable from every MCP client.
Per-project memory for AI agents: decisions, attempts, tasks, ranked recall. Paid per call via x402.
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.
shared AI-context layer for teams — persistent memory your agents search and update over MCP
Project memory, semantic code search, and grounded agent context.
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.
AI session memory: the brief your AI reads before every session so no session starts cold.
