Solving the Clive Wearing Problem: One-Shot Episodic Memory for Frozen Transformers

Tommi Niemi / Rotko Networks

Hidden-state episodic memory for frozen transformers. No gradients.
Teach via one forward pass, recall via cosine similarity + logit injection.
200-line Python reproduction included.

pip install transformers torch numpy && python python/epimem.py

.gitignore

@@ -0,0 +1,2 @@
+models/*.onnx
+models/*.onnx.data