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Agent Frameworks

A guide to frameworks and platforms for building AI agents that can perform complex, multi-step tasks and coordinate with other agents.

Available Frameworks

A2A (Agent to Agent)

An open protocol from Google that enables AI agents to communicate and collaborate regardless of their platform or creator.

LangGraph

LangChain's framework for building, deploying and managing complex generative AI agent workflows with observability tools.

CrewAI

A framework for orchestrating role-playing, autonomous AI agents to work together as a crew on complex tasks.

Mastra

A modern framework for building AI agents with TypeScript, built-in integrations and workflow management.

Explore each framework to find the right approach for your agent development needs. Consider factors like team coordination, workflow complexity, platform integration, and observability requirements when choosing a framework.

How to choose

  • Need inter-agent communication protocols? → A2A
  • Building complex multi-step workflows? → LangGraph
  • Want role-based agent teams? → CrewAI
  • Need modern framework using TypeScript? → Mastra