A local research instrument for connecting separate, provenance-preserving neural graphs through an artificial trainable routing layer. The working package includes typed sparse graphs, CSV and human-matrix importers, recurrent graph encoders, sparse synthetic grafts, a delayed-memory benchmark with matched controls, validated inference checkpoints, a persistent live 3D navigation and continuous-learning workspace (python -m neurograft live), and a differentiable interface to frozen Qwen backbones. The pretrained model is an optional dependency and is not downloaded automatically. Current evidence: the circuit implementation runs and trains locally. The OpenWorm source has been acquired and…