Browser-Use vs RasaGPT
Side-by-side comparison of two AI agent tools
Short answer
- RasaGPT has had no commit in 41 months; Browser-Use is actively maintained (526 commits in the last 90 days).
- Browser-Use is growing faster: +5,123 GitHub stars in the last 30 days vs +0 for RasaGPT.
- Pick Browser-Use for: make websites accessible for AI agents. Pick RasaGPT for: headless LLM chatbot platform built on Rasa and LangChain for indexing, retrieval, and context injection.
From GitHub data refreshed daily.
Browser-Useopen-source
🌐 Make websites accessible for AI agents. Automate tasks online with ease.
RasaGPTopen-source
Headless LLM chatbot platform built on Rasa and LangChain for indexing, retrieval, and context injection
Metrics
| Browser-Use | RasaGPT | |
|---|---|---|
| Stars | 117.0k | 2.5k |
| Star velocity /mo | 5.1k | 0.47619047619047616 |
| Commits (90d) | 526 | 0 |
| Releases (6m) | 10 | 0 |
| Overall score | 0.8872522508336602 | 0.15359045579284894 |
Pros
- +高度流行且活跃的开源项目,拥有84,000+GitHub星标和活跃社区支持
- +提供云端服务选项,支持快速、可扩展且具备隐蔽功能的浏览器自动化
- +与主流AI编程助手无缝集成,如Cursor和Claude Code等工具
- +开箱即用的完整解决方案,解决了 Rasa 与 LLM 集成的所有技术痛点,包括库冲突、元数据传递等问题
- +提供完整的技术栈集成,包括 FastAPI 后端、文档上传训练管道、Docker 支持和多平台部署能力
- +实现了自定义 pgvector 集成和多租户架构,比使用 Langchain 原生方案更加灵活可控
Cons
- -依赖Chromium浏览器,需要额外的系统资源和安装步骤
- -要求Python 3.11及以上版本,对环境有一定技术要求
- -作为相对新兴的工具,可能在某些复杂网站交互场景中存在兼容性限制
- -作者明确表示这不是生产级代码,存在 prompt injection 和多种安全漏洞风险
- -作为概念验证项目,缺乏企业级的安全性、稳定性和性能优化
- -学习成本较高,需要同时掌握 Rasa、Langchain 和 FastAPI 等多个框架
Use Cases
- •AI代理自动化网页数据采集和信息提取任务
- •自动化Web应用程序测试和质量保证流程
- •构建智能客服机器人进行网站表单填写和在线服务交互
- •企业内部知识库问答系统,需要结合传统规则对话和 LLM 生成能力的客服场景
- •多渠道聊天机器人部署,特别是需要同时支持 Telegram、Slack 等平台的应用
- •需要文档索引和检索功能的智能助手,如技术文档查询、产品说明书问答等场景
FAQ
- Which is more popular, Browser-Use or RasaGPT?
- Browser-Use has more GitHub stars (116,992 vs 2,464).
- Which is more actively developed, Browser-Use or RasaGPT?
- Browser-Use had more commits in the last 90 days (526 vs 0).
- Should I use Browser-Use or RasaGPT?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.