--- title: "langchain vs langchainjs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchain-vs-langchain-ai-langchainjs" tools: ["langchain-ai-langchain", "langchain-ai-langchainjs"] --- # langchain vs langchainjs *GraphCanon updated Jul 17, 2026* ## Verdict Pick langchain if langChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect; 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. [langchain](https://docs.langchain.com/langchain/) reports 142k GitHub stars, 24k forks, and 419 open issues, last pushed Jul 14, 2026. [langchainjs](https://docs.langchain.com/langchain/) has 18k stars, 3.3k forks, and 412 open issues, last pushed Jul 14, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/langchain-ai/langchain) and [langchainjs's repository](https://github.com/langchain-ai/langchainjs). | | [langchain](/tools/langchain-ai-langchain.md) | [langchainjs](/tools/langchain-ai-langchainjs.md) | | --- | --- | --- | | Tagline | The agent engineering platform. | The agent engineering platform | | Stars | 141,713 | 17,944 | | Forks | 23,545 | 3,257 | | Open issues | 419 | 412 | | Language | Python | TypeScript | | Adopt for | LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect | 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. | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | MIT | | Categories | AI Agents, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/langchain-ai-langchain.md) | [langchainjs](/tools/langchain-ai-langchainjs.md) | | --- | --- | --- | | Open issues (now) | 419 | 412 | | Full report | [trust report](/tools/langchain-ai-langchain/trust.md) | [trust report](/tools/langchain-ai-langchainjs/trust.md) | **Typed relationship:** langchain _(alternative)_ langchainjs These appear to be the same project under different guises, given both are described as 'The agent engineering platform', likely differing by language implementations. ## Shared compatibility - **LangChain**: [langchain](/tools/langchain-ai-langchain.md) - LangChain integration; [langchainjs](/tools/langchain-ai-langchainjs.md) - LangChain integration ## Decision facts: langchain - **Pricing:** freemium - LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI. - **Adopt for:** LangChain is an open-source platform designed specifically for building agents and applications that leverage large language models (LLMs). It provides a standard framework to develop interoperable components and connect - **License detail:** MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. ## 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. ## Choose when ### Choose langchain if… - langchain is primarily Python; langchainjs is TypeScript. - Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.. - These appear to be the same project under different guises, given both are described as 'The agent engineering platform', likely differing by language implementations. - Tags unique to langchain: agents, ai-agents, anthropic, chatgpt. - Also covers LLM Frameworks. - * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### Choose langchainjs if… - langchainjs is primarily TypeScript; langchain is Python. - These appear to be the same project under different guises, given both are described as 'The agent engineering platform', likely differing by language implementations. - Tags unique to langchainjs: typescript. - Also covers Developer Tools. - - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ## When NOT to use langchain - * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. - * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth - * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ## 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 ## Common questions ### What is the difference between langchain and langchainjs? langchain: The agent engineering platform.. langchainjs: The agent engineering platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over langchainjs? Choose langchain over langchainjs when langchain is primarily Python; langchainjs is TypeScript; Pricing: LangChain itself is open-source and free to use. However, it might rely on paid services or premium models from external platforms like OpenAI.; These appear to be the same project under different guises, given both are described as 'The agent engineering platform', likely differing by language implementations; Tags unique to langchain: agents, ai-agents, anthropic, chatgpt; Also covers LLM Frameworks; * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### When should I choose langchainjs over langchain? Choose langchainjs over langchain when langchainjs is primarily TypeScript; langchain is Python; These appear to be the same project under different guises, given both are described as 'The agent engineering platform', likely differing by language implementations; Tags unique to langchainjs: typescript; Also covers Developer Tools; - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ### When should I avoid langchain? * When working on smaller, less complex projects where full-scale integration with sophisticated components is not necessary as LangChain's extensive features might introduce unnecessary complexity. * If you are primarily focused on JavaScript or TypeScript development as the primary focus of LangChain is Python. Although there is a JS/TS equivalent (LangChain.js), it may not offer the same depth * For projects requiring heavy customization at lower levels, where a more granular control over individual components is required rather than working with an integrated framework. ### 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 ### Is langchain or langchainjs more popular on GitHub? langchain has more GitHub stars (141,713 vs 17,944). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and langchainjs open source? Yes - both are open-source projects on GitHub (langchain: MIT, langchainjs: MIT). ### Where can I find alternatives to langchain or langchainjs? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/langchain-ai-langchain/alternatives) and [langchainjs alternatives](/tools/langchain-ai-langchainjs/alternatives) ([langchain markdown twin](/tools/langchain-ai-langchain/alternatives.md), [langchainjs markdown twin](/tools/langchain-ai-langchainjs/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-langchain-vs-langchain-ai-langchainjs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or langchainjs? langchain: Very active. langchainjs: 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 langchain and langchainjs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/langchain-ai-langchain/trust); [langchainjs trust report](/tools/langchain-ai-langchainjs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchain`](/api/graphcanon/graph?tool=langchain-ai-langchain) - 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/_