LangGraph vs Stack AI
A direct comparison using the real catalog fields currently available for both products.
Last updated
LangGraph
LangChain
Stack AI
Stack AI
Open source and free. LangSmith Platform from $39/month for deployment. No separate LangGraph charge.
Free plan with limited runs. Starter $199/month. Teams $799/month. Enterprise custom.
Open source: data handling per configured LLM providers. LangSmith deployment: review LangChain data handling policy.
SOC 2 Type II. GDPR compliant. SSO and audit logs on enterprise plans. Private deployment for data sovereignty.
Data handling entirely through configured AI provider APIs. LangGraph itself does not transmit data. LangSmith deployment subject to LangChain's privacy policy.
Review Stack AI data handling policy. Enterprise private deployment keeps data within customer infrastructure.
- ✓Graph-based control flow enables iterative agent behaviour unavailable in simple chains
- ✓Persistent state enables truly stateful multi-session agents
- ✓Human-in-the-loop checkpoints essential for production agent safety
- ✓Deep LangChain ecosystem integration for developers already on that stack
- ✓No-code visual builder accessible to enterprise business teams without ML engineering
- ✓Document processing pipelines strong for legal, healthcare, and financial services
- ✓Enterprise governance features (SSO, audit logs, RBAC) meet corporate requirements
- ✓Private deployment option for data sovereignty requirements
- ✕Steeper learning curve than CrewAI for developers new to graph-based thinking
- ✕Complexity overkill for simple single-turn AI tasks
- ✕LangChain dependency may be limiting for teams using other frameworks
- ✕$199/month Starter plan is expensive relative to open source alternatives like Flowise
- ✕Most value in document processing rather than general AI application building
- ✕Less flexibility than coded frameworks for highly custom AI logic
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LangGraph best for
Stack AI best for
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