Solving catastrophic forgetting with Recursive Time architecture, Active Sleep (generative replay), and Temporal LoRA. Proving the "Lazarus Effect" in neural networks.
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Updated
Jan 11, 2026 - Python
Solving catastrophic forgetting with Recursive Time architecture, Active Sleep (generative replay), and Temporal LoRA. Proving the "Lazarus Effect" in neural networks.
Complete PyTorch reproduction of Google's TITANS, MIRAS, and NL neural memory papers. 52 tests, 87% coverage, Docker support.
Symbiogenesis is a memory-powered AI interface that evolves with you — combining neural recall (Mnemosyne) and predictive interaction (Prometheus) to enable true consciousness partnership.
Advanced neural networks with external memory systems for long-term reasoning and knowledge retention.
High-performance CUDA implementation of Titans neural memory architecture (Learning to Memorize at Test Time)
A brain-inspired cognitive architecture exploring surprise-gated memory, identity protection, and the Titans/MIRAS framework.
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