Which is more popular, PraisonAI or RasaGPT?

PraisonAI has more GitHub stars (9,128 vs 2,464).

Which is more actively developed, PraisonAI or RasaGPT?

PraisonAI had more commits in the last 90 days (4,702 vs 0).

Should I use PraisonAI 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.

PraisonAI vs RasaGPT

Side-by-side comparison of two AI agent tools

Short answer

RasaGPT has had no commit in 41 months; PraisonAI is actively maintained (4,702 commits in the last 90 days).
PraisonAI is growing faster: +535 GitHub stars in the last 30 days vs +0 for RasaGPT.
Pick PraisonAI for: low-code multi-agent AI framework for planning, research, coding, and cross-platform delivery. Pick RasaGPT for: headless LLM chatbot platform built on Rasa and LangChain for indexing, retrieval, and context injection.

From GitHub data refreshed daily.

PraisonAIopen-source

Low-code multi-agent AI framework for planning, research, coding, and cross-platform delivery

RasaGPTopen-source

Headless LLM chatbot platform built on Rasa and LangChain for indexing, retrieval, and context injection

Metrics

	PraisonAI	RasaGPT
Stars	9.1k	2.5k
Star velocity /mo	535.1052631578948	0.4736842105263158
Commits (90d)	4.7k	0
Releases (6m)	10	0
Overall score	0.8668031328867173	0.14408998147900343

Pros

+极高性能：智能体实例化时间仅3.77微秒，为大规模多智能体系统提供了出色的响应速度和扩展能力
+全面的平台集成：原生支持Telegram、Discord、WhatsApp等主流通信平台，实现真正的全渠道AI助手
+低代码友好：既提供Python SDK满足开发者深度定制需求，又支持YAML配置让非技术用户也能快速上手

+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

-学习曲线较陡：多智能体系统的概念和配置对新手来说可能比较复杂，需要时间理解handoffs和协作模式
-文档完整性：作为相对较新的框架，某些高级功能的文档和最佳实践案例可能还不够详细

-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

•构建24/7运行的智能客服系统，在多个社交平台同时提供自动化支持和问题解决
•开发自动化研究助手，让AI智能体团队协作完成市场调研、竞品分析和数据收集任务
•创建代码开发助手，利用多智能体协作进行需求分析、代码编写和测试验证的完整开发流程

•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

View PraisonAI Details View RasaGPT Details

FAQ

Which is more popular, PraisonAI or RasaGPT?: PraisonAI has more GitHub stars (9,128 vs 2,464).
Which is more actively developed, PraisonAI or RasaGPT?: PraisonAI had more commits in the last 90 days (4,702 vs 0).
Should I use PraisonAI 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.