LangGraph vs OpenSandbox
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangGraph Agents | OpenSandbox Agents | |
|---|---|---|
| Tagline | Stateful, graph-based agent orchestration from LangChain. | Open-source sandbox infrastructure for running AI-generated code, agents, and browsers in isolated Docker or Kubernetes environments. |
| Category | Agents | Agents |
| Pricing | Freemium· Free open-source; LangGraph Platform paid | Free· Open source (Apache 2.0); managed pricing not disclosed |
| Model | BYO (Claude / GPT / open) | Model-agnostic |
| Editorial score | 8.8 / 10 | — |
| Use cases | stateful agentshuman-in-loopproduction | code-executionagent-sandboxingbrowser-automationremote-developmentrl-environments |
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| Website | www.langchain.com | open-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