Unlock the true potential of AI memory with AgenticMemory! Traditional AI agents struggle with continuity; they forget past interactions and decisions. AgenticMemory revolutionizes this by offering a robust binary graph format that captures every cognitive event as a node.
Key Features:
- Comprehensive Knowledge Graph: Each .amem file seamlessly holds your agent’s entire knowledge.
- Speed & Efficiency:
- 276 ns to add a node
- 3.4 ms to traverse 5 levels deep in a 100K-node graph
- 9 ms for similarity searches across 100K nodes
- Compact Storage: A year of daily use fits in under 24 MB, with a lifetime of memory under 1 GB.
- Zero Dependencies: Built in Rust, with easy integration via Python SDK.
Join the future of AI memory-building and improve your projects today!
🔗 Explore more and share your thoughts below! 🚀 #ArtificialIntelligence #TechInnovation #AgenticMemory
