LoopOver includes TypeScript scoring estimators and model snapshots informed by public Gittensor scoring behavior and documentation from entrius/gittensor.
- Upstream project:
entrius/gittensor - Upstream license observed locally: MIT
- Use in LoopOver: no Python modules are vendored into the Worker backend; LoopOver stores normalized model constants and implements deterministic advisory estimators in TypeScript.
Any optional local MCP score preview may invoke a user-configured local Gittensor checkout. That checkout remains separate from this repository.