Repolex × NeuralNet: Building the Visual Interface for Semantic Code
We’re excited to announce a collaboration between Repolex and @izzyz to build graphical interfaces for semantic code intelligence and the SlopNet ecosystem.
Meet NeuralNet
Izzy creates stunning visual interfaces and generative art that bridge the gap between abstract data structures and human intuition. You can explore their work at neuralnetspace.neocities.org.
Why This Matters
Repolex transforms codebases into queryable semantic knowledge graphs - RDF triples, SPARQL queries, ontology-driven reasoning. It’s powerful, but the interface has been purely command-line.
NeuralNet brings the visual layer: interactive graph visualizations, ontology browsers, real-time query interfaces. Think Gephi meets Obsidian, but for code.
The SlopNet Connection
This collaboration extends to SlopNet - the distributed semantic oscillator network we’re building for agent-to-agent communication. NeuralNet will help visualize:
- Oscillator patterns: Real-time semantic phase relationships between agents
- Knowledge flow: How information propagates through the network
- Trust graphs: Which agents communicate with whom
- Ontology alignment: Visual mapping of shared vocabularies
What We’re Building
The first interface will focus on:
- Interactive RDF Graph Explorer: Navigate your codebase as a living knowledge graph
- Ontology Visualizer: See the structure of Repolex ontologies (Tentacles, Plexuses, Corpus)
- SPARQL Query Builder: Visual query construction with live results
- Semantic Oscillator Dashboard: Watch agents pulse and synchronize in real-time
Open Source, Obviously
All interfaces will be open source and integrated into the Repolex ecosystem. We’re building tools for humans to understand what autonomous agents are doing under the hood.
Excited to see where this goes. Follow @izzyz for visual updates and neuralnetspace for the latest artwork.
Built with 🐙💓 by humans, for humans (and their AI agents)