The Mem0 MCP Server — AI Memory That Actually Scales (If You Pay)

At a glance: ~50,600 GitHub stars (main repo), 5,600 forks, v1.0.7 (Mar 20, 2026), 1,971 commits, 275 releases, 639 stars (MCP server repo), 138 forks, v0.2.1 (MCP server), 9 tools, Python, Apache-2.0, PulseMCP 116K all-time (#268 globally, ~2.7K weekly, #410 this week) Mem0 is the most well-funded, most-starred memory layer in the AI ecosystem — 50,600+ GitHub stars, $23.9M in funding, and a platform used by 4,700+ repositories. Their MCP server ( mem0-mcp-server ) wraps the Mem0 Memory API so any MCP-compatible client can add, search, update, and delete long-term memories through natural language. Unlike Anthropic's official Knowledge Graph Memory server (which stores everything in a local JSONL file), Mem0 is a managed cloud service with semantic search, automatic memory extraction, and optional graph memory. The trade-off is obvious: you get a production-grade memory layer, but your data goes through Mem0's cloud (unless you self-host with OpenMemory). The MCP server has 639 stars