Growth Lab is an open-source agentic growth workspace that connects product understanding, market research, execution, measurement, and iteration. It uses Codex or Claude Code as the runtime and treats natural-language conversations as the control surface. Collectors gather product, market, content, and channel evidence, while executor skills help create, publish, review, and coordinate growth work. Each growth model follows an observe-act-review loop and keeps persistent memory of evidence, actions, results, and recommended next steps. The project currently includes workflows for SEO page growth and Xiaohongshu content research, creation, compliance checks, and review. Product data and operational memory stay in the user's own workspace rather than a proprietary hosted format.
Features
- Natural-language growth workflow control
- Product and market research collectors
- Persistent growth-model memory
- SEO content growth workflows
- Content research and creation tools
- Result review and iterative optimization