📖 The AI Tool Bible

Agno (formerly Phidata) vs LangGraph

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

 
Agno (formerly Phidata)
Agents
LangGraph
Agents
TaglineOpen-source Python framework for building multi-agent systems, paired with a production runtime that ships in your own cloud.Stateful, graph-based agent orchestration from LangChain.
CategoryAgentsAgents
PricingFreemium· Framework free/OSS; AgentOS paid (see pricing page)Freemium· Free open-source; LangGraph Platform paid
ModelMulti-modelBYO (Claude / GPT / open)
Editorial score—8.8 / 10
Use cases
stateful agentshuman-in-loopproduction
Pros
  • Open-source framework with 40K+ GitHub stars and active community
  • Supports 30+ model providers, so no lock-in to one LLM vendor
  • AgentOS runs in your own cloud — good for regulated data
  • Interops with LangGraph, DSPy, and Claude Agent SDK
  • Ships auth, RBAC, audit logs, and approval workflows out of the box
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Cons
  • AgentOS is proprietary despite the open-source framework
  • Python-only — no first-class TypeScript/Node story
  • Younger project than LangChain; smaller docs surface area
  • Self-hosting AgentOS still means you own the infra
  • Steeper learning curve than CrewAI
  • Verbose to set up
Websitewww.agno.comwww.langchain.com
Pick Agno (formerly Phidata) if
  • ✅ Open-source framework with 40K+ GitHub stars and active community
  • ✅ Supports 30+ model providers, so no lock-in to one LLM vendor
  • ✅ AgentOS runs in your own cloud — good for regulated data
  • ✅ Interops with LangGraph, DSPy, and Claude Agent SDK
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
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