--- title: "langchain vs notte" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchain-vs-nottelabs-notte" tools: ["langchain-ai-langchain", "nottelabs-notte"] --- # langchain vs notte *GraphCanon updated Jul 15, 2026* ## Verdict Pick langchain when license: langchain is MIT, notte is Other; pick notte when license: notte is Other, langchain is MIT. [langchain](https://docs.langchain.com/langchain/) reports 142k GitHub stars, 24k forks, and 419 open issues, last pushed Jul 14, 2026. [notte](https://www.notte.cc/) has 2.0k stars, 186 forks, and 18 open issues, last pushed Jul 13, 2026. Figures are from public GitHub metadata via [langchain's repository](https://github.com/langchain-ai/langchain) and [notte's repository](https://github.com/nottelabs/notte). | | [langchain](/tools/langchain-ai-langchain.md) | [notte](/tools/nottelabs-notte.md) | | --- | --- | --- | | Tagline | The agent engineering platform. | 🌸 Best framework to build web agents, and deploy serverless web automation functions on reliable browser infra. | | Stars | 141,713 | 1,986 | | Forks | 23,545 | 186 | | Open issues | 419 | 18 | | Language | Python | Python | | 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 | - | | Persona | - | - | | Runtime | - | - | | License | MIT License, allowing free use for both personal and commercial purposes under its stipulated terms. | Other | | Categories | AI Agents, LLM Frameworks | AI Agents, Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain](/tools/langchain-ai-langchain.md) | [notte](/tools/nottelabs-notte.md) | | --- | --- | --- | | Days since push | 0d | 1d | | Open issues (now) | 419 | 18 | | Full report | [trust report](/tools/langchain-ai-langchain/trust.md) | [trust report](/tools/nottelabs-notte/trust.md) | ## 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. ## Choose when ### Choose langchain if… - License: langchain is MIT, notte is Other. - 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.. - Tags unique to langchain: agents, ai-agents, chatgpt, deepagents. - * When aiming to build complex AI-powered agents or applications requiring high-level capabilities like planning, subagent interaction, and file system operations. ### Choose notte if… - License: notte is Other, langchain is MIT. - Tags unique to notte: agent, ai, automation, browser. - Also covers Inference & Serving. ## 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 notte - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between langchain and notte? langchain: The agent engineering platform.. notte: 🌸 Best framework to build web agents, and deploy serverless web automation functions on reliable browser infra.. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain over notte? Choose langchain over notte when License: langchain is MIT, notte is Other; 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.; Tags unique to langchain: agents, ai-agents, chatgpt, deepagents; * 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 notte over langchain? Choose notte over langchain when License: notte is Other, langchain is MIT; Tags unique to notte: agent, ai, automation, browser; Also covers Inference & Serving. ### 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 notte? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is langchain or notte more popular on GitHub? langchain has more GitHub stars (141,713 vs 1,986). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain and notte open source? Yes - both are open-source projects on GitHub (langchain: MIT, notte: Other). ### Where can I find alternatives to langchain or notte? GraphCanon lists graph-backed alternatives at [langchain alternatives](/tools/langchain-ai-langchain/alternatives) and [notte alternatives](/tools/nottelabs-notte/alternatives) ([langchain markdown twin](/tools/langchain-ai-langchain/alternatives.md), [notte markdown twin](/tools/nottelabs-notte/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-nottelabs-notte.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain or notte? langchain: Very active. notte: 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 notte? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain trust report](/tools/langchain-ai-langchain/trust); [notte trust report](/tools/nottelabs-notte/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/_