Awesome Llm Apps — AI Agent Review & Live Stats

Live GitHub stats, community sentiment, and trend data for Awesome Llm Apps. TrendingBots tracks star velocity, fork activity, and what developers are saying — updated from real data sources.

GitHub data synced: Apr 1, 2026 • Sentiment updated: Unknown

GitHub Statistics

Why Awesome Llm Apps Stands Out

Awesome LLM Apps is different from alternatives because it provides a curated collection of LLM apps with AI Agents and RAG, allowing developers to build a wide range of applications. The repository features models from OpenAI, Anthropic, Gemini, and open-source models, making it a one-stop shop for developers. The project solves the problem of having to search for and integrate multiple models and agents, making it easier for developers to build LLM-powered applications. The fact that it has a large community of contributors and users, with 104042 stars and 15175 forks, demonstrates its value and popularity.

Built With

Build a research agent that reads 50 papers and writes a literature review — Awesome LLM Apps enables it by providing a curated collection of LLM apps with AI Agents and RAG, Build a chatbot that uses OpenAI and Anthropic models to generate human-like responses — Awesome LLM Apps provides a starter kit for building such chatbots, Build a voice agent that can understand and respond to voice commands — Awesome LLM Apps features a Gemini Multimodal Agent that can be used for this purpose, Build a web scraping AI agent that can extract data from websites — Awesome LLM Apps provides a Web Scraping AI Agent that can be used for this purpose, Build a medical imaging agent that can analyze medical images — Awesome LLM Apps features an AI Medical Imaging Agent that can be used for this purpose

Getting Started

  1. Install the required dependencies by running `pip install -r requirements.txt`
  2. Configure the AI agent by running `python configure_agent.py`
  3. Train the model by running `python train_model.py`
  4. Deploy the agent by running `python deploy_agent.py`
  5. Try running the AI Blog to Podcast Agent to verify that it works

About

Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.

Official site: https://www.theunwindai.com

Category & Tags

Category: memory

Tags: agents, llms, python, rag