OP here.

I built this because I felt standard IPFS is too "static" for the AI era. It's great for storage, but terrible for discovery.

IPFRS attempts to solve this by embedding HNSW Vector Search and a Logic Programming layer directly into the node. This allows you to query the DAG not just by hash (CID), but by meaning (Semantic Search).

I wrote a detailed breakdown of the architecture and the "Why" behind it here: https://medium.com/@kitasanio/beyond-static-storage-why-i-bu...

I'd love to hear your thoughts on this approach.