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AutoGroq is a groundbreaking tool that revolutionizes the way users interact with Autogen™ and other AI assistants. By dynamically generating tailored teams of AI agents based on your project requirements, AutoGroq eliminates the need for manual configuration and allows you to tackle any question, problem, or project with ease and efficiency.
Python SDK for agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen
AutoGen AGI: Advancing AI agents using AutoGen towards AGI capabilities. Explore cutting-edge enhancements in group chat dynamics, decision-making, and complex task proficiency. Join our journey in shaping AI's future!
An advanced AI assistant that leverages the capabilities of ChatGPT API, Gemini Pro, AutoGen, and open-source LLMs, enabling it both to engage in conversations and to execute computing tasks on local devices.
Started out as Dynamic Function Calling for OAI. Upon reviewing a research paper released (LATM) This is/has become a implementation of such system using: OpenAI and Autogen
This repository holds enhanced Agents, built for the Microsoft AutoGen Framework. Debuting with a MemoryEnabledAgent with improvements in context/token control, portability, and PnP functionality.
This repository demonstrates how a simple iterative coding loop, with history and resume capability, can be can be implemented in the AutoGen Framework.
FreeGenius AI, an advanced AI assistant that can talk and take multi-step actions. Supports numerous open-source LLMs via Llama.cpp or Ollama or Groq Cloud API, with optional integration with AutoGen agents, OpenAI API, Google Gemini Pro and unlimited plugins.