datawhalechina/hello-agents vs didilili/ai-agents-from-zero
Compare datawhalechina/hello-agents and didilili/ai-agents-from-zero using the current verified snapshot: positioning, license, deployment, use cases, limitations, and original sources.
datawhalechina/hello-agents
A theory-and-practice tutorial for building AI Native Agents from scratch, covering classic paradigms, multi-agent applications, and agentic reinforcement learning. The primary content is authored in Chinese and covers integrations with several low-code platforms and frameworks.
- License
- License pending
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A · Automation · Learning & Education
- Updated
- 2026-07-17T05:46:20Z
didilili/ai-agents-from-zero
A systematic, open-source Python tutorial covering the full LLM application development stack from basics to enterprise-level Agent and RAG projects. It targets developers who want runnable code examples, practical enterprise use cases, and an interview question bank without relying on paid bootcamps.
- License
- MIT
- Deployment
- Refer to project documentation
- Use cases
- Knowledge Q&A · Search & Research · Data Analysis · Learning & Education
- Updated
- 2026-07-17T03:28:47Z
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