Understand the project
Practical overview
When it fits
Use it for a structured path from AI-agent concepts through source-code examples and practical projects, or for combining implementation study with interview preparation.
Who it is for
- Beginners learning AI agents and large-language-model applications
- Python developers studying agent frameworks
- Engineers exploring RAG, MCP, deployment or fine-tuning
- Learners preparing for AI-application and agent-development interviews
Documented uses
- Learn AI-agent and LLM application fundamentals
- Study LangChain and LangGraph implementation patterns
- Explore Coze, Dify, MCP, tool use and RAG
- Work through project-oriented examples
- Review interview questions organized around AI-development skills
Before you choose
Requirements & limits
The repository is publicly accessible on GitHub and is MIT licensed. The evidence does not document account, pricing or service-availability requirements.
- The material is in Chinese.
- The primary development focus is Python, LangChain and LangGraph.
- The repository also covers Coze, Dify, MCP, RAG, deployment and fine-tuning.
- It combines tutorials, runnable source code, projects and an interview question bank.
- A hosted browser execution environment is not demonstrated.
Check current requirements in the official documentation. Source-based guidance does not mean OpenViST has run or independently tested this project.
Evidence and transparency
Sources & review
Source record details
- Source availability
- Active
- Sources checked
- 1 October 2026
- Original website title
- didilili/ai-agents-from-zero · Official homepage title · retained in its source language