Cuba Memorys

Cuba Memorys

Long-term, multi-modal AI memory server for coding agents

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About Cuba Memorys

Cuba Memorys is an open-source Model Context Protocol (MCP) server designed to provide long-term, multi-modal memory for AI coding agents. By employing knowledge graphs and supporting four types of memory (semantic, episodic, procedural, and working), it enables agents to search, reason over, and correct their knowledge of a codebase across sessions. The system is written in Rust, backed by PostgreSQL with pgvector, offers hybrid search and local claim verification with ONNX-based models, and is suitable for developers seeking persistent, reliable, and verifiable contextual memory for code agents.

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Product Website

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Documentation

Comprehensive API reference and guides for using Cuba Memorys.

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Blog

Insights and updates related to the development and usage of Cuba Memorys.

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