Knowledge Representations+MORK (MeTTa Optimized Reduction Kernel)

Responsible: Adam Vandervorst, Luke Peterson, Remy Clarke

MORK is an ultra-high-performance hypergraph engine achieving 1000x-1000000x speedups via optimized Trie-Map structures. Its zipper-based multi-threaded VM navigates complex reasoning paths with near-instant access, and uses WASM for seamless external code integration.

GitHub

</> Example Implementation

Trie-Map traversal

Demonstrates MORK's optimized Trie-Map structure for ultra-fast hypergraph insertion and querying.

; MORK high-performance hypergraph ops ; Zipper-based navigation !(mork-insert (Edge "is-a" "Cat" "Animal")) !(mork-insert (Edge "is-a" "Dog" "Animal")) !(mork-query (Edge "is-a" $x "Animal")) ; => ["Cat", "Dog"] ; 1000x faster than naive graph search

Technical Deep Dive: MORK Full — PathMap formalism, selectivity theorem, ZAM execution model, four-layer architecture, known limitations, and implementation findings.