A lightweight Python library for seamless integration with xAI's Grok API. Features minimal dependencies, robust API key management, and supports the latest xAI models for text generation and function calling.

🚀 Build AI Agent Teams as Production-Ready APIs. Orchestrate CrewAI agents with FastAPI for enterprise-grade AI services. Leverage Groq's lightning-fast LLMs to deploy collaborative AI workflows at scale.

Web research automation with hierarchical citation trees. A more deterministic alternative to agent-based systems (like OpenAI Deep Research) that builds verifiable reasoning chains, works with smaller LLMs, and prioritizes transparency over black-box agents. Engineered for reliability and cost efficiency.

A simple and efficient command-line chatbot built using the Groq API and LLaMA 3.3-70B Versatile model. This project allows users to interact with a powerful large language model directly from the terminal.

A lightweight Python wrapper to create chatbots with memory and unique personalities using Google Gemini models. Supports dynamic conversations, personality injection, and persistent memory.

This is a custom-built AI chatbot using Streamlit and Google Gemini API (via Lang Chain), designed to provide real-time, human-like assistance about Yashfeen Skills Development Services (YSDS). Perfect for educational institutes looking to automate FAQs and course guidance with a friendly, AI-driven solution.

Multimodal chatbot app using Google Gemini 1.5 Flash to answer questions about uploaded images via a Streamlit interface.

A simple Python desktop chatbot built with Tkinter and powered by Cohere's command-r model. It takes user input, sends it to the Cohere API, and displays smart replies in a user-friendly GUI.