JulianFlux 🧲: Electrodynamic Reasoning Infrastructure for AI Agents
Summary
The repository presents JulianFlux, an electrodynamics-inspired approach to AI data retrieval and causal routing, aiming to outperform traditional vector databases. It outlines a physics-based framework (Lorentz Force, 128D projection, dynamic bandwidths, and topology-based truth/contradiction signals) and provides an educational MVP as well as a full production-ready engine with Python and potential Rust/CUDA backends. The README maps a clear development path with multiple modules and deployment notes.