📖 The AI Tool Bible

LangGraph vs OpenSandbox

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

 
LangGraph
Agents
OpenSandbox
Agents
TaglineStateful, graph-based agent orchestration from LangChain.Open-source sandbox infrastructure for running AI-generated code, agents, and browsers in isolated Docker or Kubernetes environments.
CategoryAgentsAgents
PricingFreemium· Free open-source; LangGraph Platform paidFree· Open source (Apache 2.0); managed pricing not disclosed
ModelBYO (Claude / GPT / open)Model-agnostic
Editorial score8.8 / 10
Use cases
stateful agentshuman-in-loopproduction
code-executionagent-sandboxingbrowser-automationremote-developmentrl-environments
Pros
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
  • Apache 2.0 licensed and self-hostable on Docker or Kubernetes
  • First-class SDKs for Python, JS/TS, Java/Kotlin, Go, and C#/.NET
  • Built for agent workloads: Claude Code, Gemini CLI, browser automation, RL
  • Full lifecycle API: provision, pause/resume, renew, terminate, stream logs
Cons
  • Steeper learning curve than CrewAI
  • Verbose to set up
  • No public pricing or managed tier details on the landing page
  • Younger and less battle-tested than E2B or Daytona
  • Operational burden falls on you if you self-host on Kubernetes
Websitewww.langchain.comopen-sandbox.ai
Pick LangGraph if
  • Reliable, debuggable agent graphs
  • Built-in persistence + HITL
  • Production-grade
  • Tight LangSmith integration
Pick OpenSandbox if
  • Apache 2.0 licensed and self-hostable on Docker or Kubernetes
  • First-class SDKs for Python, JS/TS, Java/Kotlin, Go, and C#/.NET
  • Built for agent workloads: Claude Code, Gemini CLI, browser automation, RL
  • Full lifecycle API: provision, pause/resume, renew, terminate, stream logs