About AG2
AG2 (formerly AutoGen) is an open-source framework for building AI agent systems. It enables complex multi-agent conversations and task automation.
AG2 is the community-driven evolution of Microsoft's AutoGen framework.
Capabilities & Features
Common Use Cases
automation-ai
research
coding
Pros & Cons
Active community
Backward compatible
Enhanced features
Newer project
Evolving documentation
Alternatives
View allAutoGen
Microsoft multi-agent framework
AutoGen is a framework developed by Microsoft for building multi-agent conversational systems. It enables multiple agents to collaborate and solve tasks through conversation.
Anthropic Console
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Relevance AI
Build and deploy custom AI agents and workflows
Relevance AI is a platform designed to create AI workforces by combining LLM agents, tasks, and data pipelines. It provides an intuitive low-code workspace to build autonomous agents that execute multi-step operations.
LangChain
Build context-aware reasoning applications
The most popular framework for developing applications powered by large language models, including agents and RAG.
Ultravox.ai
Speech-native voice AI agents
Ultravox.ai builds speech-native voice AI agents for real-time conversational interactions. It enables developers to integrate advanced voice capabilities into applications with low latency. The platform supports multiple languages and custom voice models for diverse use cases.
Salt Security
Secure the APIs behind AI agents.
Salt Security provides runtime protection for APIs, specifically securing AI agents and their interactions. It detects and prevents attacks targeting API-driven AI systems.
Compare AG2 with Alternatives
Side-by-side feature, pricing, and pros & cons breakdowns
