alinaqi/maggy
A Python FastAPI server and React dashboard that transforms Claude Code into an autonomous multi-model engineering system with TDD enforcement and 67 skill protocols.

Maggy adds multi-model routing across 13 AI providers (Claude, DeepSeek, Kimi, Gemini, Codex) to Claude Code via a local harness with a web dashboard. It includes intent-driven execution protocols, skill orchestration, persistent memory across sessions, and TDD enforcement with 1100+ tests. The system serves solo engineers and teams seeking autonomous AI coding assistance with cost-aware model selection and quality gates.
Frequently asked
- What is alinaqi/maggy?
- A Python FastAPI server and React dashboard that transforms Claude Code into an autonomous multi-model engineering system with TDD enforcement and 67 skill protocols.
- Is maggy open source?
- Yes — alinaqi/maggy is open source, released under the MIT license.
- What language is maggy written in?
- alinaqi/maggy is primarily written in Python.
- How popular is maggy?
- alinaqi/maggy has 701 stars on GitHub.
- Where can I find maggy?
- alinaqi/maggy is on GitHub at https://github.com/alinaqi/maggy.