Drop in any model. Get a harness. Offline-first CLI + TUI that detects model type, runs the right harness, serves HTTP, and scaffolds plugins — for tabular, embeddings, LLMs, vision, diffusion, computer use, and more.
Local end-to-end testing lab for any MCP server: coding agents role-play real users, drive your tools over multiple turns, score runs, and render/interact with MCP Apps ui:// widgets.
a python linter which evaluates how difficult AI generated code is to read, understand, test, maintain, and safely modify. It gives coding agents actionable and easy to reason about feedback on design problems that traditional linters, type checkers, and tests cannot detect.
