# BMAD-METHOD Project Brief ## Overview BMAD-METHOD is a universal human-AI collaboration platform that amplifies human potential through specialized AI agents. The project consists of three main components: - **BMAD-CORE**: The foundational Collaboration Optimized Reflection Engine that orchestrates specialized agents - **BMM (BMad Method)**: Flagship agile development framework for software and game development - **BMB (BMad Builder)**: Tools for creating custom agents, workflows, and modules - **CIS (Creative Intelligence Suite)**: Innovation and creativity workflows (beta) ## Current Version **v6 Alpha** - Under active development on `v6-alpha` branch - Previous stable: v4.x - Installation: `npx bmad-method@alpha install` ## Core Philosophy: C.O.R.E. - **C**ollaboration: Human-AI partnership leveraging unique strengths - **O**ptimized: Refined processes for maximum effectiveness - **R**eflection: Guided thinking that unlocks better solutions - **E**ngine: Powerful framework orchestrating specialized agents ## Project Structure ``` bmad-method/ ├── bmad/ # All BMAD components │ ├── core/ # Core framework (always installed) │ ├── bmm/ # BMad Method module │ ├── bmb/ # BMad Builder module │ ├── bmd/ # BMad Development module │ ├── cis/ # Creative Intelligence Suite (shared) │ └── _cfg/ # User customizations ├── src/ # Source code for CLI tools ├── tools/ # Build and development tools ├── docs/ # Documentation └── .kilocode/ # Kilocode AI configuration ``` ## Key Agents - **BMad Master**: Central orchestrator and workflow executor - **PM**: Product planning and requirements - **Analyst**: Research and business analysis - **Architect**: Technical architecture and design - **Scrum Master**: Sprint planning and story management - **Developer**: Implementation with senior review - **BMad Builder**: Custom agent and workflow creation ## Mission Transform how humans and AI work together by providing structured workflows, specialized agents, and reflective processes that bring out the best in both—replacing AI-driven answers with AI-guided discovery.