This repository provides a collection of projects and tutorials focused on leveraging AutoGen for various AI applications, particularly within SaaS product development. It aims to demystify AutoGen's functionality, offering practical examples of prompts, agent configurations, and integration patterns for developers and researchers exploring multi-agent AI systems.

How It Works

The project utilizes AutoGen, a framework for building applications with multiple LLM agents. It demonstrates how to configure agents for specific tasks, manage conversational flows, and integrate with local LLM providers like Ollama and LM Studio. Key examples include using GPT-4 Vision, implementing conversational memory with Vector DBs, and orchestrating agent hierarchies for complex workflows.

Quick Start & Requirements

• Installation: No explicit installation command is provided, but the project relies on Python.
• Prerequisites: Requires installation of Ollama or LM Studio for local LLM hosting, FFmpeg for Whisper AI integration, and potentially Python IDEs like PyCharm or VS Code. .NET SDK is also mentioned.
• Resources: Local LLM setup and FFmpeg installation are necessary.
• Links:
  • Ollama: https://ollama.com/
  • LM Studio: https://lmstudio.ai/
  • FFmpeg (macOS): https://superuser.com/questions/624561/install-ffmpeg-on-os-x
  • FFmpeg (Windows): https://phoenixnap.com/kb/ffmpeg-windows

Highlighted Details

• Demonstrates AutoGen with GPT-4 Vision and a screenshotting library for web analysis.
• Includes examples of AutoGen teams for specialized task delegation and execution.
• Features integrations with Airtable and explores CrewAI with multiple examples and custom tools.
• Showcases a Fitness Tracker bot using multiple models and LM Studio for local LLM inference.

Maintenance & Community

The repository is actively updated, with recent additions including frontend code, .NET examples, Airtable integration, and extensive CrewAI examples. There are no explicit mentions of community channels or notable contributors.

Licensing & Compatibility

The repository does not specify a license.

Limitations & Caveats

Function calling with LM Studio is noted as problematic, requiring specific UserAgent configurations. MemGPT requires an openai_key to function correctly with the OpenAI API. FFmpeg is a mandatory dependency for Whisper AI functionality.