"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
A hosted MCP suite providing workflow primitives: web search, content fetching, compression, deduplication, cost/budget management, and agent memory pipelines.
The media memory layer for AI agents and their humans. Your AI client can search your collection, add and log what you've finished, update ratings and lists, and find patterns across everything you've read, watched, played, and listened to.
Search open model file records, inspect recorded SHA-256 hashes and license labels, and check estimated memory fit. Public reads need no account. Connect over Streamable HTTP. Public board and request tools require user consent. A matching hash checks bytes; fit and license labels do not establish successful execution or permission for every use. Hosted MCP: https://huggingbay.xyz/api/mcp Install: npx -y hugging-bay-mcp@0.1.13 Docs: https://huggingbay.xyz/docs Repository: https://github.com/barneywohl/hugging-bay
126 pay-per-call agent tools via x402: web, crypto safety, agent memory and inbox, API finder
Hosted MCP memory: save sessions/decisions once, search from Claude, Cursor, ChatGPT. EU-hosted FTS.
Studocu helps students find study documents, set course context, ground answers from the open web, and manage authenticated study projects—attaching sources, reading artifacts, creating quizzes or mock exams, and keeping durable study memory—from any MCP client.
past.dev is a long-term memory API for AI agents. Send it timestamped text such as emails, meeting transcripts and support tickets. Ask a question and get the current fact, the value it replaced and the source behind it. With this server, your assistant can recall and save memory and manage your past.dev account.
Universal pay-per-call tool API for AI agents. Web search, price feeds, hive memory, LLM routing, code sandbox. Free tier (10 calls/day, no signup). x402 payments on Base + Solana.
Persistent personal memory for AI assistants — save, search, and recall across every MCP client.
Web search, page-to-markdown, memory, leases and proof for agents. x402, no signup.
Find open-weight AI models that fit your hardware, with weight sizes, memory and sources.
Personal memory layer: files, notes, messages, tasks and email, semantically indexed.
Persistent AI memory shared across Claude, ChatGPT, coding agents, and compatible MCP clients.
Mitosis agent-memory platform: pricing, docs search, platform status, agent skills. No auth.
Bilingual dual memory with SSC for AI agents. Semantic search, embeddings, profiles.
VibeMarketing (https://vibemarketing.ninja/mcp) is a directory service that catalogs and provides information about various MCP (Model Context Protocol) servers. It serves as a centralized resource where users can discover different MCP servers and their capabilities. Examples of servers listed in the directory include Sequential Thinking MCP (for dynamic problem-solving through structured thought sequences) and Memory MCP (a knowledge graph-based persistent memory system).
Analytical memory for AI agents: a real Postgres queried in plain English over MCP. One command.
Persistent working memory for AI agents: a knowledge graph with semantic search and decay.
Persistent AI memory over your saved YouTube videos, podcasts, articles and PDFs for any MCP client.
