In Memoria is an open-source, local-first Model Context Protocol (MCP) server designed to provide persistent memory for AI coding assistants. It connects to tools like Claude and GitHub Copilot, learning from your real codebase to remember coding patterns, styles, architectural choices, and decisions across coding sessions. It enables instant, context-rich AI assistance, smart file routing, semantic code search, and session continuity, dramatically reducing repetitive onboarding and ensuring consistent, personalized suggestions for every AI session. Ideal for software developers and teams who want more personalized, context-aware AI coding help.
Visit In Memoria's official website for product details and getting started.
Comprehensive guides and API references for integrating and utilizing In Memoria.
Explore practical examples and use cases of In Memoria in different coding scenarios.
Updates and insights on features, use cases, and best practices for In Memoria.