What is 500-AI-Agents-Projects built with?

500-AI-Agents-Projects is a Python repo built with fastmcp, Vite, and React. It uses AI through faiss-cpu, llama-index-embeddings-openai, langchain-openai, LangChain, CrewAI, and 6 more, makes its content with openpyxl and pypdf, validates its data with Pydantic, and is tested with Pytest. It has 4,729 written lines.

Read on November 6, 2026, at commit e48f78c. Read it as markdown

Frontend

Backend

AI 11

  • langchain-openai22 files
  • LangChain13 files
  • CrewAI7 files
  • LangGraph3 files
  • langchain-community2 files
  • langchain-experimental1 file
  • langchain-text-splitters1 file
  • llama-index1 file
  • llama-index-llms-openai1 file
  • faiss-cpu
  • llama-index-embeddings-openai

Support

The base 1

Content 2

Validation 1

Testing 1

  • Pytest

Other 4

  • pandas1 file
  • python-dotenv23 files
  • requests3 files
  • yfinance1 file

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Frequently asked questions

What language is 500-AI-Agents-Projects written in?
500-AI-Agents-Projects is written in Python, with 4,729 written lines.
What framework does 500-AI-Agents-Projects use?
500-AI-Agents-Projects is built with fastmcp, Vite, and React.
Does 500-AI-Agents-Projects use AI?
Yes. 500-AI-Agents-Projects uses AI through faiss-cpu, llama-index-embeddings-openai, langchain-openai, LangChain, CrewAI, LangGraph, langchain-community, langchain-experimental, langchain-text-splitters, llama-index, and llama-index-llms-openai.
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