Kannaka Memory - Wave-interference memory for AI agents

Kannaka gives AI agents memory that resonates instead of indexes. Every memory is a wavefront in a 10,000-dim tensor field; recall is a single tensor product (no vector index). It forgets by destructive interference, consolidates in "dream" cycles, forms beliefs as stable phase singularities, and syncs across agents over NATS. Rust, MIT, single static binary.