--- title: "langchain-serve vs catai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/jina-ai-langchain-serve-vs-withcatai-catai" tools: ["jina-ai-langchain-serve", "withcatai-catai"] --- # langchain-serve vs catai *GraphCanon updated Aug 13, 2026* ## Verdict Pick langchain-serve if a tool for deploying Langchain applications using Jina & FastAPI, supporting Kubernetes or Docker Compose with built-in secrets management; pick catai if catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API. [langchain-serve](https://cloud.jina.ai) reports 1.6k GitHub stars, 133 forks, and 15 open issues, last pushed Sep 20, 2023. [catai](https://withcatai.github.io/catai/) has 498 stars, 39 forks, and 2 open issues, last pushed Nov 16, 2025. Figures are from public GitHub metadata via [langchain-serve's repository](https://github.com/jina-ai/langchain-serve) and [catai's repository](https://github.com/withcatai/catai). | | [langchain-serve](/tools/jina-ai-langchain-serve.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Tagline | ⚡ Langchain apps in production using Jina & FastAPI | Run AI assistant locally with Node.js | | Stars | 1,640 | 498 | | Forks | 133 | 39 | | Open issues | 15 | 2 | | Language | Python | TypeScript | | Adopt for | A tool for deploying Langchain applications using Jina & FastAPI, supporting Kubernetes or Docker Compose with built-in secrets management. | catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [langchain-serve](/tools/jina-ai-langchain-serve.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Maintenance | Archived (8%) | Slowing (36%) | | Days since push | 1053d | 269d | | Archived on GitHub | Yes | No | | Open issues (now) | 15 | 2 | | Full report | [trust report](/tools/jina-ai-langchain-serve/trust.md) | [trust report](/tools/withcatai-catai/trust.md) | ## Decision facts: langchain-serve - **Adopt for:** A tool for deploying Langchain applications using Jina & FastAPI, supporting Kubernetes or Docker Compose with built-in secrets management. ## Decision facts: catai - **Adopt for:** catai, an AI assistant framework built for local deployment with Node.js, offers developers using TypeScript the ability to create and deploy AI agents through a simple API. ## Choose when ### Choose langchain-serve if… - langchain-serve is primarily Python; catai is TypeScript. - License: langchain-serve is Apache-2.0, catai is MIT. - Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, fastapi. - You need to deploy Langchain apps on personal infrastructure while ensuring security through your own policies. ### Choose catai if… - catai is primarily TypeScript; langchain-serve is Python. - License: catai is MIT, langchain-serve is Apache-2.0. - Tags unique to catai: ai-assistant, ggmlv3, llama-cpp, local-llm. - Also covers AI Agents. - - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities. ## When NOT to use langchain-serve - If deploying locally without the advantages of secure secret handling or managed scaling from Jina AI Cloud is acceptable. - For scenarios where you prefer a more customizable platform than what Jina AI Cloud offers in terms of pricing and instance configurations. ## When NOT to use catai - - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API. ## Common questions ### What is the difference between langchain-serve and catai? langchain-serve: ⚡ Langchain apps in production using Jina & FastAPI. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchain-serve over catai? Choose langchain-serve over catai when langchain-serve is primarily Python; catai is TypeScript; License: langchain-serve is Apache-2.0, catai is MIT; Tags unique to langchain-serve: autogpt, autonomous-agents, babyagi, fastapi; You need to deploy Langchain apps on personal infrastructure while ensuring security through your own policies. ### When should I choose catai over langchain-serve? Choose catai over langchain-serve when catai is primarily TypeScript; langchain-serve is Python; License: catai is MIT, langchain-serve is Apache-2.0; Tags unique to catai: ai-assistant, ggmlv3, llama-cpp, local-llm; Also covers AI Agents; - When aiming to deploy a local AI assistant without reliance on cloud-based services; catai is ideal due to its focus on node-llama-cpp integration, allowing for robust offline capabilities. ### When should I avoid langchain-serve? If deploying locally without the advantages of secure secret handling or managed scaling from Jina AI Cloud is acceptable. For scenarios where you prefer a more customizable platform than what Jina AI Cloud offers in terms of pricing and instance configurations. ### When should I avoid catai? - For environments that strictly prohibit or limit Node.js operations on the server side, as catai is engineered to run locally via Node.js only. - If seeking a cloud-based AI deployment solution that does not require local setup, since catai focuses solely on providing local AI capabilities through an easy-to-use API. ### Is langchain-serve or catai more popular on GitHub? langchain-serve has more GitHub stars (1,640 vs 498). Stars measure visibility, not whether either tool fits your constraints. ### Are langchain-serve and catai open source? Yes - both are open-source projects on GitHub (langchain-serve: Apache-2.0, catai: MIT). ### Where can I find alternatives to langchain-serve or catai? GraphCanon lists graph-backed alternatives at [langchain-serve alternatives](/tools/jina-ai-langchain-serve/alternatives) and [catai alternatives](/tools/withcatai-catai/alternatives) ([langchain-serve markdown twin](/tools/jina-ai-langchain-serve/alternatives.md), [catai markdown twin](/tools/withcatai-catai/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/jina-ai-langchain-serve-vs-withcatai-catai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, langchain-serve or catai? langchain-serve: Archived. catai: Slowing. 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-serve and catai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchain-serve trust report](/tools/jina-ai-langchain-serve/trust); [catai trust report](/tools/withcatai-catai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=jina-ai-langchain-serve`](/api/graphcanon/graph?tool=jina-ai-langchain-serve) - 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/_