📖 The AI Tool Bible

LangGraph vs OpenHands

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

 
LangGraph
Agents
OpenHands
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Open-source autonomous coding agent that plans, edits, and ships changes across real codebases.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFreemium· Free OSS tier; paid Team plan; Enterprise quote
ModelBYO (Claude / GPT / open)Multi-model (Claude, Gemini, GPT/Codex)
Editorial score8.8 / 10—
Use cases
stateful agentshuman-in-loopproduction
autonomous-codingpr-reviewbug-fixinglegacy-migrationincident-triage
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • Fully open source with a large, active GitHub community
  • Model-agnostic — swap Claude, Gemini, GPT/Codex per task
  • Ships enterprise features: RBAC, audit logs, cost controls
  • Real integrations with GitHub, GitLab, Slack, PagerDuty
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • Autonomous runs can rack up token spend on big repos
  • Output quality still bounded by the chosen underlying LLM
  • Self-hosting the OSS version has real ops overhead
Websitewww.langchain.comwww.all-hands.dev
Pick LangGraph if
  • ✅ Reliable, debuggable agent graphs
  • ✅ Built-in persistence + HITL
  • ✅ Production-grade
  • ✅ Tight LangSmith integration
Pick OpenHands if
  • ✅ Fully open source with a large, active GitHub community
  • ✅ Model-agnostic — swap Claude, Gemini, GPT/Codex per task
  • ✅ Ships enterprise features: RBAC, audit logs, cost controls
  • ✅ Real integrations with GitHub, GitLab, Slack, PagerDuty
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