LangChain vs Rivet
Side-by-side comparison with live GitHub signals. Last updated April 1, 2026.
| Metric | LangChain | Rivet |
|---|---|---|
| GitHub Stars | 131.9K | 3.0K |
| Contributors | 469 | 30 |
| Last Commit | Mar 31, 2026 | Feb 15, 2026 |
| Open Issues | 509 | — |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| 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 Rivet
Rivet is a visual programming environment for building, testing, and debugging AI agent workflows. Created by Ironclad, it provides a node-based IDE where developers can visually compose LLM chains, tool calls, conditionals, and loops. Rivet supports all major LLM providers, includes a TypeScript runtime for production deployment, and offers collaborative features for team-based AI development.
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