Cognitive memory system for AI agents with FSRS-6 spaced repetition and neural dashboard
Cognitive engine based on 130 years of memory research. Features FSRS-6 spaced repetition learning, predictive error gating, and synaptic tagging across 29 brain modules with 3D neural visualization, all in a single 22MB Rust binary. Fully local.
Long-term memory for AI assistants — Chatbots and AI agents retain conversation history and learned information across sessions while maintaining user-specific context.
Adaptive learning platforms — Systems that present review questions at optimal timing based on learner comprehension and forgetting curves.
Knowledge base management — AI recognizes important information and relationships, strengthening high-priority memories through synaptic tagging.