--- title: "composio vs langchainjs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/composiohq-composio-vs-langchain-ai-langchainjs" tools: ["composiohq-composio", "langchain-ai-langchainjs"] --- # composio vs langchainjs *GraphCanon updated Aug 16, 2026* ## Verdict Pick composio if composio is a development toolkit and workbench that supports the creation of AI agents with features such as tool search, context management, authentication, and more. It operates in TypeScript under the MIT license; 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. [composio](https://docs.composio.dev) reports 30k GitHub stars, 4.7k forks, and 65 open issues, last pushed Aug 16, 2026. [langchainjs](https://docs.langchain.com/langchain/) has 18k stars, 3.3k forks, and 475 open issues, last pushed Aug 7, 2026. Figures are from public GitHub metadata via [composio's repository](https://github.com/ComposioHQ/composio) and [langchainjs's repository](https://github.com/langchain-ai/langchainjs). | | [composio](/tools/composiohq-composio.md) | [langchainjs](/tools/langchain-ai-langchainjs.md) | | --- | --- | --- | | Tagline | Build AI agents that turn intent into action. | The agent engineering platform | | Stars | 29,715 | 18,020 | | Forks | 4,706 | 3,298 | | Open issues | 65 | 475 | | Language | TypeScript | TypeScript | | Adopt for | Composio is a development toolkit and workbench that supports the creation of AI agents with features such as tool search, context management, authentication, and more. It operates in TypeScript under the MIT license. | 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 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [composio](/tools/composiohq-composio.md) | [langchainjs](/tools/langchain-ai-langchainjs.md) | | --- | --- | --- | | Open issues (now) | 65 | 475 | | Stars delta | +458 (30d) | Unknown | | Open issues delta | -6 (30d) | Unknown | | Full report | [trust report](/tools/composiohq-composio/trust.md) | [trust report](/tools/langchain-ai-langchainjs/trust.md) | ## Shared compatibility - **LangChain**: [composio](/tools/composiohq-composio.md) - LangChain integration; [langchainjs](/tools/langchain-ai-langchainjs.md) - LangChain integration - **Node.js**: [composio](/tools/composiohq-composio.md) - Node.js runtime; [langchainjs](/tools/langchain-ai-langchainjs.md) - Node.js runtime ## Decision facts: composio - **Adopt for:** Composio is a development toolkit and workbench that supports the creation of AI agents with features such as tool search, context management, authentication, and more. It operates in TypeScript under the MIT license. ## 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 composio if… - Tags unique to composio: agentic-ai, agents, function-calling, gpt-4. - - When you are developing AI agents and require robust functionalities like advanced tool search and context management within a sandboxed environment. - More GitHub stars (30k vs 18k) - visibility, not fit. ### Choose langchainjs if… - - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ## When NOT to use composio - - For projects that do not align with TypeScript, which could limit the utility of Composio’s specific development ecosystem. - - When the project's requirements extend beyond basic tool search and context management; other specialized frameworks may offer more tailored solutions for those needs. ## 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 composio and langchainjs? composio: Build AI agents that turn intent into action.. langchainjs: The agent engineering platform. See the comparison table for live GitHub stats and shared categories. ### When should I choose composio over langchainjs? Choose composio over langchainjs when Tags unique to composio: agentic-ai, agents, function-calling, gpt-4; - When you are developing AI agents and require robust functionalities like advanced tool search and context management within a sandboxed environment; More GitHub stars (30k vs 18k) - visibility, not fit. ### When should I choose langchainjs over composio? Choose langchainjs over composio when - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ### When should I avoid composio? - For projects that do not align with TypeScript, which could limit the utility of Composio’s specific development ecosystem. - When the project's requirements extend beyond basic tool search and context management; other specialized frameworks may offer more tailored solutions for those needs. ### 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 composio or langchainjs more popular on GitHub? composio has more GitHub stars (29,715 vs 18,020). Stars measure visibility, not whether either tool fits your constraints. ### Are composio and langchainjs open source? Yes - both are open-source projects on GitHub (composio: MIT, langchainjs: MIT). ### Where can I find alternatives to composio or langchainjs? GraphCanon lists graph-backed alternatives at [composio alternatives](/tools/composiohq-composio/alternatives) and [langchainjs alternatives](/tools/langchain-ai-langchainjs/alternatives) ([composio markdown twin](/tools/composiohq-composio/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/composiohq-composio-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, composio or langchainjs? composio: 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 composio and langchainjs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [composio trust report](/tools/composiohq-composio/trust); [langchainjs trust report](/tools/langchain-ai-langchainjs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=composiohq-composio`](/api/graphcanon/graph?tool=composiohq-composio) - 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/_