Every MCP memory server for AI conversation management — compared, reviewed, and ready to install. Give your AI assistant persistent memory with the Model Context Protocol.
The official MCP server from AI Memory. Provides tools for searching, creating, and managing AI conversation memories. Dual transport modes (stdio and HTTP) ensure compatibility with every MCP client.
pip install aimemory-mcp-serverMem0 provides an enterprise-grade MCP memory server backed by 54K GitHub stars and $24M in funding. Best suited for developers building memory into production applications.
npx @mem0ai/mem0-mcp-serverA simple, file-based MCP memory server published on npm. Stores memories as JSON files on disk. The easiest way to add persistent memory to Claude Desktop with minimal setup.
npx @anthropic/mcp-server-memoryAn official MCP reference server that stores memories as a knowledge graph. Entities and relationships are automatically extracted, enabling powerful semantic queries across your conversation history.
npx @anthropic/knowledge-graph-memory-serverSupermemory MCP combines knowledge graph and vector search for intelligent memory retrieval. Open source and self-hostable, it offers AI-powered summarization to keep memories concise and relevant.
npx supermemory-mcpMemory Plugin MCP bridges Claude Desktop with the MemoryPlugin cloud service. Captures and stores conversation memories automatically, with a web dashboard for browsing and managing your stored knowledge.
npx memory-plugin-mcpThe Model Context Protocol is the open standard for connecting AI assistants to external tools. Here's why MCP is the best way to add persistent memory to your AI workflows.
MCP is an open standard supported by 100+ AI tools. A single MCP memory server works with Claude Desktop, Cursor, Windsurf, Continue, and more — no vendor lock-in.
MCP memory servers run on your machine. Your conversation memories never leave your computer unless you choose a cloud-based server. No third-party data collection.
MCP servers provide real-time tool access during conversations. Your AI assistant can search, create, and update memories instantly — no API delays or batch processing.
Mix and match MCP servers for different needs. Use a knowledge graph server for entities, a vector server for semantic search, and a file server for raw data — all simultaneously.
Write your memories once, access them everywhere. An MCP memory server configured for Claude Desktop also works in Cursor, VS Code extensions, and any MCP-compatible client.
MCP is fully open source. Build custom memory servers, extend existing ones, or contribute to the ecosystem. The protocol is simple enough for any developer to implement.
| Server | Transport | Storage | Search | Setup |
|---|---|---|---|---|
| AI Memory ⭐ | Stdio + HTTP | Local SQLite | FTS5 Full-Text | pip install |
| Mem0 | Stdio | Cloud API | Semantic | npx |
| Server Memory | Stdio | JSON Files | Basic | npx |
| KG Memory | Stdio | Graph JSON | Graph Query | npx |
| Supermemory | Stdio | Vector DB | Vector + Graph | npx |
| Memory Plugin | Stdio | Cloud API | Cloud | npx |
An MCP memory server is a tool that implements the Model Context Protocol (MCP) to provide persistent memory capabilities to AI assistants like Claude Desktop. It allows AI models to store, search, and retrieve information from past conversations, giving them long-term memory across sessions. MCP memory servers run locally on your machine and expose tools that any MCP-compatible client can use.
To install an MCP memory server for Claude Desktop, edit your Claude Desktop configuration file (claude_desktop_config.json) and add the server command. For example, for aimemory-mcp-server: add {"mcpServers": {"ai-memory": {"command": "python", "args": ["-m", "aimemory_mcp_server"]}}} to your config. For npm-based servers like mcp-server-memory, use {"command": "npx", "args": ["@anthropic/mcp-server-memory"]}. Restart Claude Desktop after saving.
The best MCP memory server depends on your needs. AI Memory MCP Server (aimemory-mcp-server) is recommended for most users — it offers dual transport modes (stdio + HTTP), FTS5 full-text search, cross-platform support, and local-first privacy. Mem0 is best for enterprise/B2B use cases. Knowledge Graph Memory Server is ideal if you want entity-relationship storage. MCP Server Memory is the simplest option for quick setup with Claude Desktop.
AI Memory MCP Server — free, local-first, and works with every MCP client.
pip install aimemory-mcp-server