b9431d6d99
* bmad-spec: make the memlog canonical, SPEC.md a derived view Replace the bespoke .decision-log.md with the shared memlog script (_bmad/scripts/memlog.py, same location as resolve_customization.py). The append-only memlog becomes the single source of truth; SPEC.md and spec-authored companions are re-derived from it (plus cited sources for raw content) on each run instead of hand-patched. This makes bmad-spec the sole writer of the spec and lets the surrounding steps (PRD, UX, architecture, epics) feed one spec in any order without merge drift. - New "Memory and derivation" section: memlog canonical, SPEC.md a projection, single-writer rule, append/init via the shared script, no status field (terminal moments are event entries). - Operation reads the prior memlog (not the rendered SPEC.md) as the authority on decisions and capability IDs on update. - Conflict-surfacing: live sources/companions that disagree on a field are raised to the user, resolution logged as a new entry. - Rename .decision-log.md -> .memlog.md across SKILL.md and assets. * core: add shared canonical memlog.py in src/scripts Single source-of-truth memlog: append-only, chronological working-memory log for skills. Installs to _bmad/scripts/memlog.py via the existing src/scripts sync (beside resolve_customization.py), so any skill can call it at runtime — bmad-spec is the first consumer. Merges the neutral API (--workspace, free-form --type/--by, generic set) with crash-safe fsync atomic writes. No lifecycle status by design: a memory log records completion as an event entry, never a frontmatter flag. Also accepts --path for callers that hold the file path directly. 30 tests. * bmad-spec: include event in memlog --type list The documented append --type set omitted event while the next line requires --type event for terminal moments. Align the list. * Fix memlog Python floor and exclude tests from install - memlog.py: add 'from __future__ import annotations' so PEP 585/604 hints stay lazy; the script runs on Python 3.8+ instead of crashing below 3.10. Correct the requires-python header to >=3.8. - installer.js: filter tests/, __pycache__/, .pytest_cache/, and *.pyc out of _installSharedScripts so dev-only files never ship to users. |
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| .augment | ||
| .claude-plugin | ||
| .github | ||
| .husky | ||
| .vscode | ||
| docs | ||
| evals/bmm-skills/bmad-product-brief | ||
| src | ||
| test | ||
| tools | ||
| web-bundles | ||
| website | ||
| .coderabbit.yaml | ||
| .gitignore | ||
| .markdownlint-cli2.yaml | ||
| .npmignore | ||
| .npmrc | ||
| .nvmrc | ||
| .prettierignore | ||
| AGENTS.md | ||
| CHANGELOG.md | ||
| CNAME | ||
| CONTRIBUTING.md | ||
| CONTRIBUTORS.md | ||
| LICENSE | ||
| README.md | ||
| README_CN.md | ||
| README_VN.md | ||
| SECURITY.md | ||
| TRADEMARK.md | ||
| Wordmark.png | ||
| banner-bmad-method.png | ||
| bmad-modules.yaml | ||
| eslint.config.mjs | ||
| package-lock.json | ||
| package.json | ||
| prettier.config.mjs | ||
| removals.txt | ||
README.md
Build More Architect Dreams — An AI-driven agile development module for the BMad Method Module Ecosystem, the best and most comprehensive Agile AI Driven Development framework that has true scale-adaptive intelligence that adjusts from bug fixes to enterprise systems.
100% free and open source. No paywalls. No gated content. No gated Discord. We believe in empowering everyone, not just those who can pay for a gated community or courses.
Why the BMad Method?
Traditional AI tools do the thinking for you, producing average results. BMad agents and facilitated workflows act as expert collaborators who guide you through a structured process to bring out your best thinking in partnership with the AI.
- AI Intelligent Help — Invoke the
bmad-helpskill anytime for guidance on what's next - Scale-Domain-Adaptive — Automatically adjusts planning depth based on project complexity
- Structured Workflows — Grounded in agile best practices across analysis, planning, architecture, and implementation
- Specialized Agents — 12+ domain experts (PM, Architect, Developer, UX, and more)
- Party Mode — Bring multiple agent personas into one session to collaborate and discuss
- Complete Lifecycle — From brainstorming to deployment
Learn more at docs.bmad-method.org
🚀 What's Next for BMad?
V6 is here and we're just getting started! The BMad Method is evolving rapidly with optimizations including Cross Platform Agent Team and Sub Agent inclusion, Skills Architecture, BMad Builder v1, Dev Loop Automation, and so much more in the works.
📍 Check out the complete Roadmap →
Quick Start
Prerequisites: Node.js v20.12+ · Python 3.10+ · uv
npx bmad-method install
Want the newest prerelease build? Use
npx bmad-method@next install. Expect higher churn than the default install.
Follow the installer prompts, then open your AI IDE (Claude Code, Cursor, etc.) in your project folder.
Non-Interactive Installation (for CI/CD):
npx bmad-method install --directory /path/to/project --modules bmm --tools claude-code --yes
Override any module config option with --set <module>.<key>=<value> (repeatable). Run --list-options [module] to see locally-known official keys (built-in modules plus any external officials cached on this machine):
npx bmad-method install --yes \
--modules bmm --tools claude-code \
--set bmm.project_knowledge=research \
--set bmm.user_skill_level=expert
Not sure what to do? Ask
bmad-help— it tells you exactly what's next and what's optional. You can also ask questions likebmad-help I just finished the architecture, what do I do next?
Modules
BMad Method extends with official modules for specialized domains. Available during installation or anytime after.
| Module | Purpose |
|---|---|
| BMad Method (BMM) | Core framework with 34+ workflows |
| BMad Builder (BMB) | Create custom BMad agents and workflows |
| Test Architect (TEA) | Risk-based test strategy and automation |
| Game Dev Studio (BMGD) | Game development workflows (Unity, Unreal, Godot) |
| Creative Intelligence Suite (CIS) | Innovation, brainstorming, design thinking |
Web Bundles
V4 shipped web bundles. V6 brings them back, new and improved.
Web bundles package selected BMad skills for installation as Google Gemini Gems and ChatGPT Custom GPTs. Use them to do the upfront planning work (brainstorming, product briefs, PRDs, PRFAQs, UX specs, market and industry research) in your web LLM subscription, then bring the polished artifacts into your IDE for implementation. Planning runs on a flat-rate subscription instead of metered IDE tokens, which is a meaningful cost saver on longer engagements. Choose the best model available to you in Gemini or ChatGPT.
Current shelf: brainstorming, product brief, PRFAQ, PRD, UX, market & industry research.
Browse and install at bmadcode.com/web-bundles. One card per bundle, inline install steps for Gemini and ChatGPT, one-click ZIP download. See the web bundles guide for the concept.
Documentation
BMad Method Docs Site — Tutorials, guides, concepts, and reference
Quick links:
Community
- Discord — Get help, share ideas, collaborate
- YouTube — Tutorials, master class, and more
- X / Twitter
- Website
- GitHub Issues — Bug reports and feature requests
- Discussions — Community conversations
Support BMad
BMad is free for everyone and always will be. Star this repo, buy me a coffee, or email contact@bmadcode.com for corporate sponsorship.
Contributing
We welcome contributions! See CONTRIBUTING.md for guidelines.
License
MIT License — see LICENSE for details.
BMad and BMAD-METHOD are trademarks of BMad Code, LLC. See TRADEMARK.md for details.
See CONTRIBUTORS.md for contributor information.