Show HN: Memoripy – AI Memory Layer with Short- & Long-Term Memory, Clustering

github.com

6 points by cutout11 10 hours ago

Hey HN! I built Memoripy, a memory layer for AI that adds short-term, long-term, and semantic memory capabilities to enhance LLM applications. It helps AI systems retain and prioritize past interactions, adapt over time, and respond with greater context and personalization. Memoripy uses semantic clustering to retrieve relevant memories, along with adaptive memory decay and reinforcement, so interactions stay fresh and context-aware. It’s designed for easy integration with OpenAI, Ollama, and other platforms—giving your AI applications dynamic memory management with minimal setup.

Would love to hear your thoughts and feedback!

gusye 4 hours ago

Cool project, looks neat!

I'm curious how the adaptive memory decay is implemented and how is it different from mem0?

lunarcave 10 hours ago

Congrats on launching! Looks pretty neat.

I like the fact that BaseStorage is abstract. `sqlite-vec` had been pretty good at what it does, in case you're looking for a good built-in vector search.

  • cutout11 10 hours ago

    Thank you! Will look into that