Neural Memory is an open source memory and reasoning module designed to give AI agents persistent, human-like memory capabilities. Instead of a typical vector database, it uses a graph-based neural approach, storing interconnected memories and enabling multi-hop reasoning, life-cycle management (consolidation, decay), and explicit relationships between concepts (like CAUSED_BY, RESOLVED_BY). It's ideal for developers building autonomous AI agents or LLM-powered applications that require context persistence, reasoning, and advanced recall across sessions, with robust local and cloud-sync options.
Visit Neural Memory's official website for product details and getting started.
Comprehensive API reference and user guides for integrating Neural Memory into projects.
Engage with other users and developers to share insights, issues, and solutions related to Neural Memory.