Kannaka Memory

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.

Artificial IntelligenceGitHub
👍 2 💬 5 comments 🕐 July 26, 2026
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Launched
July 26, 2026
Upvotes
2
Comments
5
Source
Public data
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