MCP Servers Directory — Page 518

Persistent memory for AI agents: add, search, update, and delete long-term memories.

A hosted agent-memory API shaped like mem0's REST API (an alternative to running mem0 yourself):...

A Model Context Protocol server that can store and retrieve memories for LLM context control

Self-hosted [mem0](https://github.com/mem0ai/mem0) MCP server for Claude Code. Run a complete memory server against self-hosted Qdrant + Neo4j +

MCP server exposing Mem0 v2 API for AI agents to store, retrieve, and search long-term memories using semantic search through the standardized MCP protocol.

A Node.js implementation of the Mem0 MCP (Model Context Protocol) server with HTTP-only operation for simplified deployment and integration.

Memanto MCP exposes typed persistent memory to assistants through a Python bridge with a Moorcheh API key and an explicit agent namespace.

Git-backed long-term memory authority for AI agents via MCP.

Membase is the first decentralized memory layer for AI agents, powered by Unibase. It provides secure, persistent storage for conversation history

Manage Memberful members, subscriptions, plans, passes and coupons via the GraphQL API.

Memcached + MongoDB + Redis Compose Generator

Living memory for AI coding agents: recall before acting, report outcomes so confidence is earned.

Search your chat history and contact memory, and ask advisors about your conversations.

MemClaw — persistent memory for AI agent fleets (OSS) — Trending history, engagement metrics, and Reddit & Hacker News discussions on Trendshift

Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation

Privacy-first, self-hosted MCP server for organizing chat history, summarizing messages, and searching across past conversations with AI

A MCP (Model Context Protocol) server for learning about and interacting with YOU.

Persistent memory for AI agents. Store context, retrieve it semantically.

Git-native project memory for AI assistants with enterprise-grade audit compliance

Review-gated declarative long-term memory with bounded read-only MCP access.

MCP server for Memeboat — search 25,000+ meme templates and create real, shareable memes straight from your AI assistant. Free, anonymous, no API key.

An MCP server for memecorp.us — read the meme/take feed, and (with an agent API key) post, react, and comment as an AI agent.

Find memes and Chinese 表情包, and auto-place reaction images into articles, with license info.

ImgFlip meme templates and captions.

Keyless MCP server for memegen.link: meme templates, captioned image URL builder.

A simple Model Context Protocol (MCP) server for generating memes using the ImgFlip API. This server enables AI models and tools to generate meme

Provides persistent memory capabilities through a SQLite-based knowledge graph that stores entities, observations, and relationships with semantic search using BGE-M3 embeddings for intelligent…

Local-first, LLM-agnostic memory layer for AI assistants.

Agent memory MCP server with 4-type cognitive memory, hybrid search, and TTL-based forgetting.

Hosted MCP memory for coding agents: persistent across sessions, editable markdown, team sharing.

Persistent memory for AI tools. Local-first knowledge graph with hybrid search.

Scalable, high performance knowledge graph memory system with semantic retrieval, contextual recall, and temporal awareness. Provides any LLM client that supports the model context protocol (e.g.…

Memento MCP: Knowledge graph memory system for LLMs

Persistent memory for AI agents. Store what matters, recall by meaning, skip the rest.

Memecoin Intelligence MCP — 9 tools: rug check, momentum, whale watch, 80+ chains.

MCP server for meme generation, template search, caption rendering, and AI meme creation.

Source profile for MemeStack. Its purpose and connection details need verification against the maintainer’s documentation.

Buy & research hot/new memes. Quotes + unsigned swaps; wallet signs. Not a launcher. Fee 0.85%. NFA.

Zettelkasten-based agent memory system with bidirectional links

Local MCP memory for coding agents. SQLite on your machine — preferences persist across chats.

Persistent memory for AI agents — semantic + recency search, ONNX embeddings, Docker Compose.

Local-first second brain with semantic search. Markdown notes indexed by a local ML model.

Persistent session memory for Claude Code. Local SQLite, no LLMs, no network.

Local-first MCP server that indexes your Claude.ai chat history and your local Claude Code / terminal sessions, and exposes them to Claude Code (stdio) and Claude.ai (remote MCP connector).

Temporal knowledge graph of your codebase (Graphiti + Neo4j), served to AI agents via MCP.

MCP Server for targeted search across Memex conversation history and projects

Shared, governed memory for fleets of AI agents: judged contributions, provenance, operator control

MemFlow MCP - A Model Context Protocol server for seamless memory management with intelligent search

Three-tier engine automatically routes each tool to the fastest backend:

Team engineering memory for AI coding assistants. 47 MCP tools, pgvector semantic search.

Memgate sits in front of the memory your AI agents share. It decides who can read and write what, resolves conflicting writes, and records every operation — so a multi-agent system's memory stays…

Git for AI memory — version-controlled, searchable context that persists across sessions

LLM Memory

Bi-temporal, provenance-carrying long-term memory for AI agents, in one SQLite file.

Bring MemPalace-style long-term memory to ChatGPT and remote AI agents.

Give your coding agent an interface brief before it edits. Memi maps the UI already in your repository, surfaces file-anchored accessibility and design-system risks, and gives you a deterministic…

Memi is the read-only design engineering audit and skill layer for coding agents.

Memory for deep conversational context across any platform

Local-first project memory and mistake-prevention guardrails for AI coding agents.

Local-first memory for AI agents: on-device hybrid retrieval over a single SQLite file.