Comparison
runanywhere-sdks vs catai
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.
Markdown twin · runanywhere-sdks alternatives · catai alternatives
GraphCanon updated Sep 20, 2026
vs
Trust & integrity
| Signal | runanywhere-sdks | catai |
|---|---|---|
| Maintenance | Very active (0d since push) As of Sep 20, 2026 · github_public_v1 | Slowing (307d since push) As of Sep 20, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 | No lockfile (source not queried) As of Jul 15, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- runanywhere-sdks
- Production ready toolkit to run AI locally
- catai
- Run AI assistant locally with Node.js
Stars
- runanywhere-sdks
- 10k
- catai
- 500
Forks
- runanywhere-sdks
- 380
- catai
- 39
Open issues
- runanywhere-sdks
- 136
- catai
- 2
Language
- runanywhere-sdks
- C++
- catai
- TypeScript
Adopt for
- runanywhere-sdks
- RunAnywhere SDKs enable efficient cross-platform deployment of various AI models on local devices with support for specific hardware optimizations.
- catai
- 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
- runanywhere-sdks
- -
- catai
- -
Runtime
- runanywhere-sdks
- -
- catai
- -
License
- runanywhere-sdks
- Apache 2.0 with additional terms for commercial use
- catai
- MIT
Last pushed
- runanywhere-sdks
- Sep 19, 2026
- catai
- Nov 16, 2025
Categories
- runanywhere-sdks
- Inference & Serving
- catai
- AI Agents, Inference & Serving
Trust and health
Maintenance
- runanywhere-sdks
- Very active (96%)
- catai
- Slowing (36%)
Days since push
- runanywhere-sdks
- 0d
- catai
- 307d
Open issues (now)
- runanywhere-sdks
- 136
- catai
- 2
Stars delta
- runanywhere-sdks
- -3 (30d)
- catai
- +2 (30d)
Open issues delta
- runanywhere-sdks
- +120 (30d)
- catai
- 0 (30d)
Full report
- runanywhere-sdks
- Trust report
- catai
- Trust report
Shared compatibility
- Node.js · runanywhere-sdks: Node.js runtime · catai: Node.js runtime
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
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
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (RunanywhereAI/runanywhere-sdks) · observed Sep 20, 2026
- GitHub forks (RunanywhereAI/runanywhere-sdks) · observed Sep 20, 2026
- Last push (RunanywhereAI/runanywhere-sdks) · observed Sep 19, 2026
- License file (Other) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (withcatai/catai) · observed Sep 20, 2026
- GitHub forks (withcatai/catai) · observed Sep 20, 2026
- Last push (withcatai/catai) · observed Nov 16, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: runanywhere-sdks 10k · catai 500 (synced Sep 20, 2026).
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 and catai alternatives (runanywhere-sdks markdown twin, catai markdown twin), 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 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; catai trust report.