Memorymesh

MemoryMesh is a persistent, zero-dependency AI memory server and embeddable Python library that enables large language models and MCP-compatible AI tools (like Claude, Cursor, Gemini, and Ollama) to remember key facts, preferences, and decisions across sessions and tools. It is privacy-first—storing all semantic memories locally in SQLite with optional encryption, structured recall, and seamless cross-tool integration. Developers and power users who want their AI assistants to leverage long-term, portable, local-first memory without vendor lock-in or external infrastructure would use this solution.