Inspiration
In nature, we don't compute harder. We structure smarter.
What it does
OV-Memory is a revolutionary multi-tier memory system for AI agents featuring:
4-Factor Priority Equation: Semantic resonance × Centrality × Recency × Intrinsic weight Metabolic Engine: Budget-aware context injection with adaptive thresholds Centroid Indexing: Fast hub-based entry point discovery JIT Context Retrieval: Just-in-time memory access with safety guardrails Distributed Architecture: Multi-node synchronization with consistent hashing GPU Acceleration: CUDA-optimized batch operations Adaptive Learning: RL-based alpha (threshold) tuning
How I built it
I have done research and with Gemini cli I vibe coded it
Challenges I ran into
In research nothing and even in code Gemini took care
Accomplishments that I'm proud of
How fast from research to real implementation
What I learned
I learned that I think differently
What's next for OV-Memory
Just want to help
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