LangGraph vs MemOS
A side-by-side look at pricing, capabilities, pros, cons, and our editorial scores.
LangGraph Agents | MemOS Agents | |
|---|---|---|
| Tagline | Stateful, graph-based agent orchestration from LangChain. | Memory operating system that gives LLM agents long-term, structured recall across sessions and models. |
| Category | Agents | Agents |
| Pricing | Freemium· Developer: $0 / seat · Plus: $39 / seat · Enterprise: Custom pricing | Freemium· 免费版: ¥0 元 · 入门版: ¥0 元原价 150元/月 · 专业版: ¥0 元原价 2000元/月 · 企业版: 灵活定价 |
| Model | BYO (Claude / GPT / open) | Multi-model |
| Editorial score | 8.8 / 10 | 6.9 / 10 |
| Use cases | stateful agentshuman-in-loopproduction | agent-memorylong-term-contextrag-infrastructurepersonalizationknowledge-graph |
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| Cons |
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| Website | www.langchain.com | memos.openmem.net |
Pick LangGraph if
- ✅ Reliable, debuggable agent graphs
- ✅ Built-in persistence + HITL
- ✅ Production-grade
- ✅ Tight LangSmith integration
Pick MemOS if
- ✅ Open-source core with a hosted managed option
- ✅ Structured memory plus dynamic knowledge graph, not just vector recall
- ✅ Cross-model memory sharing and MCP integration
- ✅ Self-host, on-prem, and hybrid deployment supported