LarsCowe/bmalph — Unified AI Development Framework - BMAD phases with Ralph execution loop

Description and use

LarsCowe/bmalph is an open‑source unified AI development framework that structures projects into BMAD (Build‑Model‑Analyze‑Deploy) phases while providing a “Ralph” execution loop to orchestrate and automate each stage. It streamlines the workflow for machine‑learning experimentation, model management, and deployment, offering developers a cohesive set of tools for building, testing, and releasing AI solutions.

Problem

LarsCowe/bmalph helps add AI capability without starting from a blank model stack.

Outcome

Early or unclear: treat as research material until maintenance, releases, docs, and issue activity are verified.

Workflow

• prototype AI features
• build RAG or agent workflows
• evaluate model tooling

Evidence

Unified AI Development Framework - BMAD phases with Ralph execution loop

Source