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📖 The AI Tool Bible

A2A Protocol vs LangGraph

A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.

 A2A Protocol logo
A2A Protocol
Agents
LangGraph logo
LangGraph
Agents
TaglineOpen standard for letting AI agents from different frameworks talk to each other.Stateful, graph-based agent orchestration from LangChain.
CategoryAgentsAgents
PricingFree· Free and open source (Apache 2.0)Freemium· Developer: $0 / seat · Plus: $39 / seat · Enterprise: Custom pricing
Model—BYO (Claude / GPT / open)
Editorial score7.1 / 108.8 / 10
Use cases
multi-agent-systemsagent-interopcross-framework-agentsagent-orchestration
stateful agentshuman-in-loopproduction
Pros
  • Backed by Linux Foundation with AWS, Google, Microsoft, IBM and others on the TSC
  • Official SDKs in Python, JS, Java, .NET, Go and Rust
  • Cleanly complements MCP rather than competing with it
  • Apache 2.0, no vendor lock-in or hosted dependency
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Cons
  • A spec, not a product - you still have to build the agents
  • Standard is young and surface area is still evolving
  • Requires both ends to implement A2A to get value
  • Adoption outside founding vendors is still early
  • Steeper learning curve than CrewAI
  • Verbose to set up
Websitea2a-protocol.orgwww.langchain.com
Pick A2A Protocol if
  • ✅ Backed by Linux Foundation with AWS, Google, Microsoft, IBM and others on the TSC
  • ✅ Official SDKs in Python, JS, Java, .NET, Go and Rust
  • ✅ Cleanly complements MCP rather than competing with it
  • ✅ Apache 2.0, no vendor lock-in or hosted dependency
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
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