--- title: "runanywhere-sdks vs catai" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/runanywhereai-runanywhere-sdks-vs-withcatai-catai" tools: ["runanywhereai-runanywhere-sdks", "withcatai-catai"] --- # runanywhere-sdks vs catai *GraphCanon updated Sep 20, 2026* ## Verdict Pick runanywhere-sdks if runAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations; 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. [runanywhere-sdks](https://www.runanywhere.ai) reports 10k GitHub stars, 380 forks, and 136 open issues, last pushed Sep 19, 2026. [catai](https://withcatai.github.io/catai/) has 500 stars, 39 forks, and 2 open issues, last pushed Nov 16, 2025. Figures are from public GitHub metadata via [runanywhere-sdks's repository](https://github.com/RunanywhereAI/runanywhere-sdks) and [catai's repository](https://github.com/withcatai/catai). | | [runanywhere-sdks](/tools/runanywhereai-runanywhere-sdks.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Tagline | Production ready toolkit to run AI locally | Run AI assistant locally with Node.js | | Stars | 10,297 | 500 | | Forks | 380 | 39 | | Open issues | 136 | 2 | | Language | C++ | TypeScript | | Adopt for | RunAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations. | 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 with additional terms for commercial use | MIT | | Categories | Inference & Serving | AI Agents, Inference & Serving | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [runanywhere-sdks](/tools/runanywhereai-runanywhere-sdks.md) | [catai](/tools/withcatai-catai.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 0d | 307d | | Open issues (now) | 136 | 2 | | Stars delta | -3 (30d) | +2 (30d) | | Open issues delta | +120 (30d) | 0 (30d) | | Full report | [trust report](/tools/runanywhereai-runanywhere-sdks/trust.md) | [trust report](/tools/withcatai-catai/trust.md) | ## Shared compatibility - **Node.js**: [runanywhere-sdks](/tools/runanywhereai-runanywhere-sdks.md) - Node.js runtime; [catai](/tools/withcatai-catai.md) - Node.js runtime ## Decision facts: runanywhere-sdks - **Requirements:** Min 2 GB RAM; Hexagon NPU for Snapdragon 8 Elite class or newer - **Adopt for:** RunAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations. - **License detail:** Apache 2.0 with additional terms for commercial use ## 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 runanywhere-sdks if… - runanywhere-sdks is primarily C++; catai is TypeScript. - License: runanywhere-sdks is Other, catai is MIT. - Requirements: Min 2 GB RAM; Hexagon NPU for Snapdragon 8 Elite class or newer. - Tags unique to runanywhere-sdks: android, cpp, diffusion-models, edge. - When deploying AI models that need to run locally across multiple platforms including Web, iOS, macOS, Android, React Native, and Flutter ### Choose catai if… - catai is primarily TypeScript; runanywhere-sdks is C++. - License: catai is MIT, runanywhere-sdks is Other. - Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp. - 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 runanywhere-sdks - If your deployment does not require support for older versions of Android below API level 24 or macOS earlier than version 14.0+ - In environments that do not meet the minimum hardware requirements, such as devices with less than 2 GB of RAM ## 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 runanywhere-sdks and catai? runanywhere-sdks: Production ready toolkit to run AI locally. catai: Run AI assistant locally with Node.js. See the comparison table for live GitHub stats and shared categories. ### When should I choose runanywhere-sdks over catai? Choose runanywhere-sdks over catai when runanywhere-sdks is primarily C++; catai is TypeScript; License: runanywhere-sdks is Other, catai is MIT; Requirements: Min 2 GB RAM; Hexagon NPU for Snapdragon 8 Elite class or newer; Tags unique to runanywhere-sdks: android, cpp, diffusion-models, edge; When deploying AI models that need to run locally across multiple platforms including Web, iOS, macOS, Android, React Native, and Flutter. ### When should I choose catai over runanywhere-sdks? Choose catai over runanywhere-sdks when catai is primarily TypeScript; runanywhere-sdks is C++; License: catai is MIT, runanywhere-sdks is Other; Tags unique to catai: ai-assistant, chatbot, ggmlv3, llama-cpp; 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 runanywhere-sdks? If your deployment does not require support for older versions of Android below API level 24 or macOS earlier than version 14.0+ In environments that do not meet the minimum hardware requirements, such as devices with less than 2 GB of RAM ### 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 runanywhere-sdks or catai more popular on GitHub? runanywhere-sdks has more GitHub stars (10,297 vs 500). Stars measure visibility, not whether either tool fits your constraints. ### Are runanywhere-sdks and catai open source? Yes - both are open-source projects on GitHub (runanywhere-sdks: Other, catai: MIT). ### Where can I find alternatives to runanywhere-sdks or catai? GraphCanon lists graph-backed alternatives at [runanywhere-sdks alternatives](/tools/runanywhereai-runanywhere-sdks/alternatives) and [catai alternatives](/tools/withcatai-catai/alternatives) ([runanywhere-sdks markdown twin](/tools/runanywhereai-runanywhere-sdks/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/runanywhereai-runanywhere-sdks-vs-withcatai-catai.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, runanywhere-sdks or catai? runanywhere-sdks: Very active. 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 runanywhere-sdks and catai? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [runanywhere-sdks trust report](/tools/runanywhereai-runanywhere-sdks/trust); [catai trust report](/tools/withcatai-catai/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=runanywhereai-runanywhere-sdks`](/api/graphcanon/graph?tool=runanywhereai-runanywhere-sdks) - 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/_