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AG2

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Framework for orchestrating, optimizing, and automating LLM workflows with multi-agent systems.

Workflow optimization
Multi-agent orchestration
Llm automation

About AG2

Launched Jan 11, 2025

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Introduction Video

Description

Framework for orchestrating, optimizing, and automating LLM workflows with multi-agent systems.

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 website

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

Pros

  • Simplifies creation of complex multi-agent conversation systems.
  • Open-source framework, fostering community collaboration and transparency.
  • Enables developers to define specialized agents with specific roles and capabilities.
  • Facilitates orchestration of agent interactions to achieve collective goals.
  • Integrates advanced LLMs like GPT-4 to enhance conversation abilities.
  • Addresses LLM limitations through integration with humans and tools.

Cons

  • Potentially steep learning curve for developers new to multi-agent systems.
  • Dependence on advanced LLMs like GPT-4 could increase operational costs.
  • The framework may require extensive customization for specific use cases.
  • Integration complexities might arise, needing skilled personnel.

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