LangChain vs Stack AI
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
Stack AI
Visual AI agent builder for enterprise workflows and document processing
| Metric | LangChain | Stack AI |
|---|---|---|
| GitHub Stars | 131.9K | — |
| Contributors | 469 | — |
| Last Commit | Mar 31, 2026 | — |
| Open Issues | 509 | — |
| License | open-source | commercial |
| Pricing | open-source | freemium |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
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About LangChain
LangChain is the most widely adopted framework for building LLM-powered applications. It provides modular abstractions for chains, agents, memory, retrievers, and tools, enabling developers to compose complex pipelines from reusable components. Available in both Python and JavaScript/TypeScript, LangChain integrates with every major LLM provider, vector store, and data source. Its ecosystem includes LangSmith for observability and LangGraph for stateful, graph-based agent workflows.
View full listingAbout Stack AI
Stack AI is a visual platform for building enterprise AI workflows and agents. It provides drag-and-drop components for document processing, data extraction, chatbot creation, and multi-step automation. Targets enterprise teams that need AI-powered workflows with SOC2 compliance, SSO, and audit logging.
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