"Super User" matching MCP servers:

Gives AI assistants a persistent memory across conversations, allowing them to remember user preferences, notes, and facts between chats.

Multi-user, file-backed MCP memory server enabling isolated namespaces and persistent memory across sessions and AI clients.

Enables LLM agents to use associative memory with key/value graph-based retrieval, supporting multi-hop traversal and human-like associative leaps beyond embedding similarity.

Provides brain-inspired long-term memory for MCP clients, enabling persistent user understanding across sessions with Chinese-optimized hybrid retrieval and evolving user profiles.

Central user-state database MCP server with durable profile facts and live virtual sensors (stress, room intensity) with configurable smoothing, readable by any agent or smart-home service.

Enables LLM agents to persist, search, update, forget, summarize, and manage user cognitive memories through MCP tools.

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This MCP server provides persistent memory integration for chat applications by utilizing a local knowledge graph to remember user information across interactions.

Enhances user interaction through a persistent memory system that remembers information across chats and learns from past errors by utilizing a local knowledge graph and lesson management.

A basic implementation of persistent memory using a local knowledge graph. This lets Claude remember information about the user across chats.

Fireproof ledger database with multi-user sync

🧠 A high-performance PostgreSQL-backed MCP server acting as a super memory, task tracker, and dynamic database manager for AI agents. Features built-in connection pooling, a professional tasks schema, and a unique shared multi-agent coordination hub to prevent coding conflicts in real-time.

Equips AI coding agents with 62 production-grade tools across 28 modules for persistent memory, live GitHub scouting, UI/UX design, DevOps, security, performance auditing, and SEO/AEO/GEO optimization, enabling automated, development workflows.

A TypeScript-based MCP server that implements a simple notes system, allowing users to create, access, and generate summaries of text notes through Claude Desktop.

This server provides a note storage system with a custom URI scheme, allowing users to add and summarize notes, with adjustable summary detail levels.

Provides persistent memory for AI agents via MCP, enabling agents to store and access notes, files, and session context across sessions and clients while under user control.

Enables chatting with an AI waifu character through MCP tools, with user management and dialog history.

Persistent memory MCP server for Claude Code — self-hosted, n8n + PostgreSQL + pgvector. Team memory for AI agents with multi-user roles, multi-project namespacing, and hybrid vector + keyword search. No cloud required.

A portable, user-owned memory for MCP-capable agents in VS Code, enabling cross-agent recall and memory creation.

A local memory and awareness layer for AI agents, allowing them to remember approved context and operate under user-governed boundaries.