5-layer persistent memory, coherence, and identity architecture for OpenClaw agents. AI amnesia solved. 353 sessions of proof.
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Updated
Mar 9, 2026 - Python
5-layer persistent memory, coherence, and identity architecture for OpenClaw agents. AI amnesia solved. 353 sessions of proof.
A non-Transformer hierarchical recurrent network with differentiable Gumbel-Softmax routing and bounded memory slots. Runs 7B+ parameter models layer-by-layer on low-budget GPUs.
🦀 The transformer is a brilliant hack scaled past its limits. DREX is what comes next — tiered memory 🧠, sparse execution ⚡, and a learned controller that knows what to remember 💾✨
A viewer whose perception evolves with each image—stateful, memory-carrying VLM reflections across a gallery.
🌟 Build efficient models with Transformer Hierarchical Layers for powerful text processing and enhanced performance in natural language tasks.
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