--- title: "langchainjs vs anything-llm" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchainjs-vs-mintplex-labs-anything-llm" tools: ["langchain-ai-langchainjs", "mintplex-labs-anything-llm"] --- # langchainjs vs anything-llm *GraphCanon updated Sep 20, 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 anything-llm if anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over. [langchainjs](https://docs.langchain.com/langchain/) reports 18k GitHub stars, 3.4k forks, and 558 open issues, last pushed Sep 6, 2026. [anything-llm](https://anythingllm.com) has 66k stars, 7.3k forks, and 315 open issues, last pushed Sep 17, 2026. Figures are from public GitHub metadata via [langchainjs's repository](https://github.com/langchain-ai/langchainjs) and [anything-llm's repository](https://github.com/Mintplex-Labs/anything-llm). | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Tagline | The agent engineering platform | Self-hosted AI agent experience | | Stars | 18,164 | 66,167 | | Forks | 3,356 | 7,349 | | Open issues | 558 | 315 | | Language | TypeScript | JavaScript | | 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. | anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License, allowing for free use, modification, and distribution. | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [anything-llm](/tools/mintplex-labs-anything-llm.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 558 | 315 | | Stars delta | +144 (30d) | +1.5k (30d) | | Open issues delta | +83 (30d) | -4 (30d) | | Full report | [trust report](/tools/langchain-ai-langchainjs/trust.md) | [trust report](/tools/mintplex-labs-anything-llm/trust.md) | ## 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: anything-llm - **Pricing:** freemium - Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure. - **Requirements:** Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment. - **Adopt for:** anything-llm is a self-hosted AI agent platform that supports multiple deployment methods, including Docker and cloud services, making it suitable for users who prefer local control over their AI workflows. - **License detail:** MIT License, allowing for free use, modification, and distribution. ## Choose when ### Choose langchainjs if… - langchainjs is primarily TypeScript; anything-llm is JavaScript. - 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 anything-llm if… - anything-llm is primarily JavaScript; langchainjs is TypeScript. - Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.. - Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.. - Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai. - Also covers Inference & Serving. - When you need a local-first AI agent experience that you can fully control and customize. ## 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 anything-llm - If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. - When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ## Common questions ### What is the difference between langchainjs and anything-llm? langchainjs: The agent engineering platform. anything-llm: Self-hosted AI agent experience. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchainjs over anything-llm? Choose langchainjs over anything-llm when langchainjs is primarily TypeScript; anything-llm is JavaScript; 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 anything-llm over langchainjs? Choose anything-llm over langchainjs when anything-llm is primarily JavaScript; langchainjs is TypeScript; Pricing: Free to use under the MIT License, but users may incur costs based on their chosen deployment method and infrastructure.; Requirements: Min 4 GB RAM; Requires Docker; Requires a local environment setup or a cloud service account for deployment.; Tags unique to anything-llm: agent-computer, agent-harness, agent-orchestration, agentic-ai; Also covers Inference & Serving; When you need a local-first AI agent experience that you can fully control and customize. ### 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 anything-llm? If you require a cloud-based solution with minimal setup and maintenance, as anything-llm requires self-hosting and local management. When you need a platform that does not offer extensive deployment flexibility, as anything-llm provides multiple deployment options which might be overwhelming for users seeking simplicity. ### Is langchainjs or anything-llm more popular on GitHub? anything-llm has more GitHub stars (66,167 vs 18,164). Stars measure visibility, not whether either tool fits your constraints. ### Are langchainjs and anything-llm open source? Yes - both are open-source projects on GitHub (langchainjs: MIT, anything-llm: MIT). ### Where can I find alternatives to langchainjs or anything-llm? GraphCanon lists graph-backed alternatives at [langchainjs alternatives](/tools/langchain-ai-langchainjs/alternatives) and [anything-llm alternatives](/tools/mintplex-labs-anything-llm/alternatives) ([langchainjs markdown twin](/tools/langchain-ai-langchainjs/alternatives.md), [anything-llm markdown twin](/tools/mintplex-labs-anything-llm/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-mintplex-labs-anything-llm.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchainjs or anything-llm? langchainjs: Very active. anything-llm: 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 anything-llm? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchainjs trust report](/tools/langchain-ai-langchainjs/trust); [anything-llm trust report](/tools/mintplex-labs-anything-llm/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/_