--- title: "langchainjs vs langgraph" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchainjs-vs-langchain-ai-langgraph" tools: ["langchain-ai-langchainjs", "langchain-ai-langgraph"] --- # langchainjs vs langgraph *GraphCanon updated Aug 8, 2026* ## Verdict Pick langchainjs if langChain.js is a TypeScript-based tool designed for building AI agents. It simplifies the development process with its specific focus and ease of installation via popular package managers; pick langgraph if langGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. [langchainjs](https://docs.langchain.com/langchain/) reports 18k GitHub stars, 3.3k forks, and 475 open issues, last pushed Aug 7, 2026. [langgraph](https://docs.langchain.com/oss/python/langgraph/) has 38k stars, 6.5k forks, and 647 open issues, last pushed Jul 28, 2026. Figures are from public GitHub metadata via [langchainjs's repository](https://github.com/langchain-ai/langchainjs) and [langgraph's repository](https://github.com/langchain-ai/langgraph). | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [langgraph](/tools/langchain-ai-langgraph.md) | | --- | --- | --- | | Tagline | The agent engineering platform | Low-level orchestration framework for building stateful agents. | | Stars | 18,020 | 38,352 | | Forks | 3,298 | 6,458 | | Open issues | 475 | 647 | | Language | TypeScript | Python | | Adopt for | LangChain.js is a TypeScript-based tool designed for building AI agents. It simplifies the development process with its specific focus and ease of installation via popular package managers. | LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [langgraph](/tools/langchain-ai-langgraph.md) | | --- | --- | --- | | Open issues (now) | 475 | 647 | | Full report | [trust report](/tools/langchain-ai-langchainjs/trust.md) | [trust report](/tools/langchain-ai-langgraph/trust.md) | ## Shared compatibility - **LangChain**: [langchainjs](/tools/langchain-ai-langchainjs.md) - LangChain integration; [langgraph](/tools/langchain-ai-langgraph.md) - LangChain integration ## Decision facts: langchainjs - **Adopt for:** LangChain.js is a TypeScript-based tool designed for building AI agents. It simplifies the development process with its specific focus and ease of installation via popular package managers. ## Decision facts: langgraph - **Pricing:** freemium - LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for- - **Requirements:** Min 4 GB RAM; Requires Python environment - **Adopt for:** LangGraph is designed as an open-source orchestration framework to build stateful AI agents. It emphasizes durable execution and human-in-the-loop interventions, along with robust memory management capabilities. ## Choose when ### Choose langchainjs if… - langchainjs is primarily TypeScript; langgraph is Python. - Tags unique to langchainjs: typescript. - - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ### Choose langgraph if… - langgraph is primarily Python; langchainjs is TypeScript. - Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-. - Requirements: Min 4 GB RAM; Requires Python environment. - Tags unique to langgraph: agents, ai-agents, enterprise, framework. - When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ## When NOT to use langchainjs - - When the project or team lacks experience with TypeScript. Since LangChain.js is built on TypeScript, leveraging its full potential might be challenging without proficiency in this language. - - In scenarios requiring minimal dependencies where a lightweight setup is necessary. LangChain.js relies on specific installation methods and may not fit environments that restrict the use of package - managers like npm or yarn ## When NOT to use langgraph - LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. - For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools. ## Common questions ### What is the difference between langchainjs and langgraph? langchainjs: The agent engineering platform. langgraph: Low-level orchestration framework for building stateful agents.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchainjs over langgraph? Choose langchainjs over langgraph when langchainjs is primarily TypeScript; langgraph is Python; Tags unique to langchainjs: typescript; - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ### When should I choose langgraph over langchainjs? Choose langgraph over langchainjs when langgraph is primarily Python; langchainjs is TypeScript; Pricing: LangGraph is available under the MIT license and is free for both personal and commercial use. However, advanced features or services like deployment and debugging might depend on additional paid-for-; Requirements: Min 4 GB RAM; Requires Python environment; Tags unique to langgraph: agents, ai-agents, enterprise, framework; When you need a low-level framework that supports the development of long-running, stateful AI agents that require complex memory management. ### When should I avoid langchainjs? - When the project or team lacks experience with TypeScript. Since LangChain.js is built on TypeScript, leveraging its full potential might be challenging without proficiency in this language. - In scenarios requiring minimal dependencies where a lightweight setup is necessary. LangChain.js relies on specific installation methods and may not fit environments that restrict the use of package managers like npm or yarn ### When should I avoid langgraph? LangGraph is less suitable when you prefer a simpler setup. It demands more initial configuration and lower-level control than other agent-building frameworks such as Deep Agents. For projects requiring immediate quick-start capabilities, as LangGraph offers foundational support which involves more manual configuration versus quicker-to-prototype tools. ### Is langchainjs or langgraph more popular on GitHub? langgraph has more GitHub stars (38,352 vs 18,020). Stars measure visibility, not whether either tool fits your constraints. ### Are langchainjs and langgraph open source? Yes - both are open-source projects on GitHub (langchainjs: MIT, langgraph: MIT). ### Where can I find alternatives to langchainjs or langgraph? GraphCanon lists graph-backed alternatives at [langchainjs alternatives](/tools/langchain-ai-langchainjs/alternatives) and [langgraph alternatives](/tools/langchain-ai-langgraph/alternatives) ([langchainjs markdown twin](/tools/langchain-ai-langchainjs/alternatives.md), [langgraph markdown twin](/tools/langchain-ai-langgraph/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/langchain-ai-langchainjs-vs-langchain-ai-langgraph.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchainjs or langgraph? langchainjs: Very active. langgraph: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for langchainjs and langgraph? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchainjs trust report](/tools/langchain-ai-langchainjs/trust); [langgraph trust report](/tools/langchain-ai-langgraph/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchainjs`](/api/graphcanon/graph?tool=langchain-ai-langchainjs) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_