Kannaka Memory

Kannaka gives digital agents dynamic memory capabilities. Key features include: • Memory represented as wavefronts in a tensor field • Rapid recall through single tensor products • Forgetting via destructive interference • Memory consolidation during "dream" cycles • Formation of stable beliefs as phase singularities • Cross-agent synchronization over NATS This platform reimagines how computational entities retain and process information. Instead of relying on traditional indexing, Kannaka's system leverages a "resonance" mechanism, allowing for more fluid and context-rich information retrieval. The framework supports a sophisticated memory paradigm where information is not merely stored but actively integrated and transformed, mirroring biological memory processes. Built in Rust as a single static binary under the MIT license, Kannaka offers a robust and transparent foundation for developing advanced agentic systems. It allows for seamless deployment and integration, providing a powerful backbone for distributed operations requiring collaborative memory. This system is ideal for engineers and researchers building complex, adaptive digital agents that require nuanced memory management beyond conventional data storage, fostering emergent behaviors and sophisticated decision-making processes.