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AG2: Build Systems, Not Prompts

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AG2 is an open-source Python framework for building, orchestrating, and scaling multi-agent AI systems. It enables the creation of an AI workforce by connecting specialized agents into cohesive teams. AG2 offers enterprise-ready solutions for AI-native organizations, moving beyond simple prompt engineering to system development.

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AG2 presents itself as an open-source, enterprise-ready multi-agent AI framework designed for building and scaling AI systems. The core philosophy is to enable users to "Build Systems, Not Prompts," shifting the focus from individual prompt crafting to the orchestration and evolution of AI agent networks.

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At the heart of AG2 is AgentOS, a universal runtime that breaks down silos between different AI intelligences. This platform allows specialized agents to function as a cohesive team, fostering interoperability and cross-platform coordination. AG2 supports the integration of agents from various frameworks, including AG2 itself, Google ADK, OpenAI, and LangChain, enabling the assembly of dynamic teams with specialized personas.

The framework emphasizes unified state management, creating a "shared brain" across task lifecycles for seamless collaboration. It also incorporates standardized protocols like A2A and MCPs, with enterprise-grade security built-in. AG2 is backed by award-winning research and has been adopted by millions of developers, building on the success of projects like AutoGen and StateFlow.

The AG2 platform is structured into three key components: the Orchestrator, Studio, and Applications. The Orchestrator is responsible for managing and coordinating the agents, ensuring they work together effectively. The Studio likely provides tools for designing and developing these agent systems, while Applications represent the end-user solutions built upon the AG2 framework.

Customer results indicate significant improvements, with workflows becoming up to 70% faster and productivity gains of up to 5x. The system also offers full decision auditability, providing transparency into the AI's operations. AG2 aims to empower organizations to become AI-native by providing a robust and scalable infrastructure for their AI workforce.

  • CategoryAI Agent Builders
  • Pricing ModelOpen Source
  • DeploymentEnterprise-ready
  • PlatformsWeb

  • Open-source Python framework

  • Multi-agent AI system orchestration

  • Scalable AI workforce development

  • Universal AgentOS runtime

  • Interoperability with AG2, Google ADK, OpenAI, LangChain agents

  • Cross-platform agent coordination

  • Unified state management for agents

  • Standardized A2A and MCP protocols

  • Enterprise-grade security

  • Up to 70% faster workflows

  • Up to 5x productivity gain

  • Full decision auditability

  1. Orchestrate: Define and connect your specialized AI agents within the AG2 AgentOS.

  2. Integrate: Connect agents from AG2, Google ADK, OpenAI, and LangChain into cohesive teams.

  3. Coordinate: Assemble dynamic teams of specialized personas for cross-platform tasks.

  4. Manage State: Utilize unified state management for a shared 'brain' across task lifecycles.

  5. Deploy: Build and scale your AI workforce with enterprise-ready solutions.

  6. Evolve: Continuously improve and adapt your AI systems for optimal performance.

  • AI Workforce Development
  • Cross-Platform Agent Coordination
  • System Building
  • Workflow Automation
  • Productivity Enhancement
  • Auditable AI Operations

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