📖 The AI Tool Bible

LangGraph vs Vellum

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

 
LangGraph
Agents
Vellum
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Personal AI assistant with persistent memory across email, calendar, and chat channels.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFreemium· Free tier + API costs; paid plans available
ModelBYO (Claude / GPT / open)Multi-model (Claude-class LLMs)
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
personal assistantemail triagecalendar managementmeeting prepresearchtask automation
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • Persistent multi-type memory across sessions
  • Works across Mac, Web, iOS, Slack, Telegram, phone, CLI
  • Managed OAuth into Gmail, Calendar, Slack
  • Open-source with self-host option
  • Fast onboarding (sub-30-second setup)
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • Requires broad access to inbox and calendar
  • Pricing tiers not publicly itemized
  • Young product in a crowded assistant space
  • Relies on third-party LLM costs on top of plan
Websitewww.langchain.comvellum.ai
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick Vellum if
  • ✅ Persistent multi-type memory across sessions
  • ✅ Works across Mac, Web, iOS, Slack, Telegram, phone, CLI
  • ✅ Managed OAuth into Gmail, Calendar, Slack
  • ✅ Open-source with self-host option
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