--- title: "langchainjs vs agents-from-scratch" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchainjs-vs-pguso-agents-from-scratch" tools: ["langchain-ai-langchainjs", "pguso-agents-from-scratch"] --- # langchainjs vs agents-from-scratch *GraphCanon updated Aug 12, 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 agents-from-scratch if agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external. [langchainjs](https://docs.langchain.com/langchain/) reports 18k GitHub stars, 3.3k forks, and 475 open issues, last pushed Aug 7, 2026. [agents-from-scratch](https://github.com/pguso/agents-from-scratch) has 954 stars, 240 forks, and 3 open issues, last pushed Jul 25, 2026. Figures are from public GitHub metadata via [langchainjs's repository](https://github.com/langchain-ai/langchainjs) and [agents-from-scratch's repository](https://github.com/pguso/agents-from-scratch). | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Tagline | The agent engineering platform | Build AI agents locally without relying on frameworks or cloud APIs. | | Stars | 18,020 | 954 | | Forks | 3,298 | 240 | | Open issues | 475 | 3 | | 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. | agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. | | 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) | [agents-from-scratch](/tools/pguso-agents-from-scratch.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Active (82%) | | Days since push | 0d | 18d | | Open issues (now) | 475 | 3 | | Owner type | Organization | User | | Full report | [trust report](/tools/langchain-ai-langchainjs/trust.md) | [trust report](/tools/pguso-agents-from-scratch/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: agents-from-scratch - **Requirements:** Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs. - **Adopt for:** agents-from-scratch is for those who want absolute control over their AI agent development using only local resources and Python, focusing on deep learning without relying on external frameworks or cloud dependencies. - **License detail:** MIT License: Permissive licensing allowing free use and distribution for both commercial and non-commercial purposes. ## Choose when ### Choose langchainjs if… - langchainjs is primarily TypeScript; agents-from-scratch 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 agents-from-scratch if… - agents-from-scratch is primarily Python; langchainjs is TypeScript. - Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.. - Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm. - You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ## 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 agents-from-scratch - You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. - If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ## Common questions ### What is the difference between langchainjs and agents-from-scratch? langchainjs: The agent engineering platform. agents-from-scratch: Build AI agents locally without relying on frameworks or cloud APIs.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchainjs over agents-from-scratch? Choose langchainjs over agents-from-scratch when langchainjs is primarily TypeScript; agents-from-scratch 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 agents-from-scratch over langchainjs? Choose agents-from-scratch over langchainjs when agents-from-scratch is primarily Python; langchainjs is TypeScript; Requirements: Min 8 GB RAM; Local large language model availability is critical as the tool does not utilize any cloud APIs.; Tags unique to agents-from-scratch: agent-architecture, ai-agents, llm, local-llm; You plan to teach yourself or others about the fundamentals of creating AI agents from ground zero with complete transparency into each layer of architecture. ### 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 agents-from-scratch? You are working on an application that needs to be deployed quickly. The tool's approach from first principles can be time-consuming compared to using established frameworks. If you need scalability or cloud capabilities such as easy scaling with demand, this tool will not provide these features since it strictly operates on local infrastructure. ### Is langchainjs or agents-from-scratch more popular on GitHub? langchainjs has more GitHub stars (18,020 vs 954). Stars measure visibility, not whether either tool fits your constraints. ### Are langchainjs and agents-from-scratch open source? Yes - both are open-source projects on GitHub (langchainjs: MIT, agents-from-scratch: MIT). ### Where can I find alternatives to langchainjs or agents-from-scratch? GraphCanon lists graph-backed alternatives at [langchainjs alternatives](/tools/langchain-ai-langchainjs/alternatives) and [agents-from-scratch alternatives](/tools/pguso-agents-from-scratch/alternatives) ([langchainjs markdown twin](/tools/langchain-ai-langchainjs/alternatives.md), [agents-from-scratch markdown twin](/tools/pguso-agents-from-scratch/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-pguso-agents-from-scratch.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchainjs or agents-from-scratch? langchainjs: Very active. agents-from-scratch: 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 agents-from-scratch? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchainjs trust report](/tools/langchain-ai-langchainjs/trust); [agents-from-scratch trust report](/tools/pguso-agents-from-scratch/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/_