Utilizing state-of-the-art AI-driven components, MemoGen handles the writing, outlining, and reviewing of memos. The final output is a detailed and well-structured document in DOCX format.
-
Updated
Jun 11, 2024 - Python
Utilizing state-of-the-art AI-driven components, MemoGen handles the writing, outlining, and reviewing of memos. The final output is a detailed and well-structured document in DOCX format.
Python SDK for agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks like CrewAI, Langchain, and Autogen
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.
Scripts to install Miniforge3, create development environment, auto-generate C++ code, etc.
A compilation of the best multi-agent papers
🚀Large language model automation and Autonomous Language Agents development framework. Build your LLM Agent Application in a pythonic way!
An overlay containing Gentoo/Funtoo ebuilds and autogens for the applications and libraries part of the UntitledDesktop project
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.
A radically simple, reliable, and high performance template to enable you to quickly get set up building multi-agent applications
Agent Cloud is like having your own GPT builder with a bunch extra goodies. The GUI features 1) RAG pipeline which can natively embed 260+ datasources 2) Create Conversational apps (like GPTs) 3) Create Multi Agent process automation apps (crewai) 4) Tools 5) Teams+user permissions. Get started fast with Docker and our install.sh
Learn to build and customize multi-agent systems using the AutoGen. The course teaches you to implement complex AI applications through agent collaboration and advanced design patterns.
Web UI for AutoGen (A Framework Multi-Agent LLM Applications)
A Python-based chatbot project built on the autogen and tinygrad foundation, utilizing advanced agents for dynamic conversations and function orchestration, enhancing and expanding traditional chatbot capabilities.
Aitino is a platform that allows for the creation of crews of AI Agents to help you automate tasks and solve complex problems.
A comprehensive AI companion leveraging advanced semantic analysis, sentiment detection, and voice processing to provide personalized and context-aware interactions using Autogen, semantic-router, and VoiceProcessingToolkit.
Add a description, image, and links to the autogen topic page so that developers can more easily learn about it.
To associate your repository with the autogen topic, visit your repo's landing page and select "manage topics."