mnemoverse

MCP Memory Server — AI skill for Claude Code

AI community

Hosted persistent memory for AI agents over MCP.

How to install MCP Memory Server

This entry records only its repository, not the path inside it, so there is no exact command to give. Open mnemoverse/mcp-memory-server and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

What MCP Memory Server does

Hosted persistent memory for AI agents over MCP. Tell it a recalled memory helped or misled, and it re-ranks what comes back next. One key across Claude Code, Cursor, VS Code and ChatGPT. MIT, in the official MCP Registry.

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README

Mnemoverse Memory

`@mnemoverse/mcp-memory-server` — the MCP server for the Mnemoverse memory engine.

[![npm version](https://img.shields.io/npm/v/@mnemoverse/mcp-memory-server.svg?color=cb3837&label=npm)](https://www.npmjs.com/package/@mnemoverse/mcp-memory-server) [![npm downloads](https://img.shields.io/npm/dm/@mnemoverse/mcp-memory-server.svg?color=blue&label=downloads)](https://www.npmjs.com/package/@mnemoverse/mcp-memory-server) [![MCP Registry](https://img.shields.io/badge/MCP_Registry-listed-0ea5e9)](https://registry.modelcontextprotocol.io/v0/servers?search=mnemoverse) [![License: MIT](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT) [![Research: SLoD arXiv](https://img.shields.io/badge/Research-arXiv%3A2603.08965-b31b1b)](https://arxiv.org/abs/2603.08965) [![Glama quality](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server/badges/score.svg)](https://glama.ai/mcp/servers/mnemoverse/mcp-memory-server)

What is Mnemoverse Memory?

Mnemoverse is a hosted memory engine for AI agents, reached over the Model Context Protocol. Mnemoverse stores what your agents learn — decisions, preferences, lessons — and returns it in any connected tool, so one memory follows you across Claude Code, Cursor, VS Code and ChatGPT with a single API key. Mnemoverse re-ranks recall from outcomes: report that a recalled memory helped and a Rescorla-Wagner update on the prediction error raises it, report that it misled and it sinks — a different mechanism from similarity scoring, usable alongside it.

How it compares

Most agent memory today lives in one of three places. Per-tool instruction files — `CLAUDE.md`, `.cursorrules`, `AGENTS.md` — are versioned and readable, but each copy belongs to one repo and one tool, and nothing follows you to the next window. A vector store behind RAG retrieves by similarity, and similarity never changes because advice helped or misled. Local-first memory servers win on privacy and latency, and as