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Framework for orchestrating, optimizing, and automating LLM workflows with multi-agent systems.
AI Agents Frameworks
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AG2 Overview
AG2 is an open-source framework that simplifies the creation of complex multi-agent conversation systems. It enables developers to define specialized agents with specific roles and capabilities, and orchestrate their interactions to achieve collective goals. AG2 leverages advanced LLMs like GPT-4 while addressing their limitations through integration with humans and tools
AG2 Key Features
Customizable and conversable agents
Automated agent-to-agent communication
Human-in-the-loop integration
Tool integration for enhanced capabilities
Real-time knowledge graph support (via FalkorDB integration)
Swarm-based agent orchestration
AG2 Use Cases
Solving complex math problems
Automated coding and debugging
Question answering systems
Decision-making in text-based environments
Supply chain optimization
Trip planning with context-aware recommendations
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