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HMLR (Hierarchical Memory Lookup & Routing) is an open-source, state-aware long-term memory architecture that gives AI agents true "living" memory but without massive context windows or fragile RAG.
It delivers verified multi-hop reasoning, temporal conflict resolution, and cross-topic persistence
Ideal for building reliable agentic AI that remembers forever, cheaply.
Feedback, stars, and contributions welcome!
HMLR Living memory system for AI agents
Sean VanWinkleleft a comment
Hi Product Hunt! I'm Sean, the maker behind HMLR, an open-source memory system designed to give AI agents persistent, reliable long-term memory, and also completly free! Tired of agents forgetting facts across conversations or failing on multi-hop/policy tests? HMLR solves that with hierarchical routing, fact scrubbing, and validated retrieval, achieving perfect scores on benchmarks that stump...
HMLR Living memory system for AI agents
