DemoGPT

Why we included this project

You describe the agent you want in plain language and DemoGPT builds a working app from it, generating the LangChain pipeline and a Streamlit interface instead of making you wire them up yourself. That is a real time-saver for teams who want a clickable demo without first learning LangChain inside out. The AgentHub layer adds ready-made tools like search, weather, Wikipedia, and Python execution, along with agent templates such as tool-calling and ReAct, so you can assemble an agent in a few lines of code. Developers wondering whether a prompt can become a real product can validate the idea quickly, and small teams can treat the generated code as a starting point to refine. There is also a knowledge hub of models and documentation that keeps prompts, frameworks, and model choices in one place.