--- title: "oneflow vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/oneflow-inc-oneflow-vs-sickn33-antigravity-awesome-skills" tools: ["oneflow-inc-oneflow", "sickn33-antigravity-awesome-skills"] --- # oneflow vs agentic-awesome-skills *GraphCanon updated Jul 12, 2026* ## Verdict Pick oneflow if oneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [oneflow](http://www.oneflow.org) reports 9.4k GitHub stars, 1.0k forks, and 645 open issues, last pushed Dec 4, 2025. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 43k stars, 6.8k forks, and 2 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [oneflow's repository](https://github.com/Oneflow-Inc/oneflow) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [oneflow](/tools/oneflow-inc-oneflow.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient. | Library of agentic skills for various AI agents | | Stars | 9,409 | 42,843 | | Forks | 1,013 | 6,805 | | Open issues | 645 | 2 | | Language | C++ | Python | | Adopt for | OneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | MIT | | Categories | Model Training | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oneflow](/tools/oneflow-inc-oneflow.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 219d | 1d | | Open issues (now) | 645 | 2 | | Owner type | Organization | User | | Security scan | No lockfile | No criticals | | Full report | [trust report](/tools/oneflow-inc-oneflow/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: oneflow - **Adopt for:** OneFlow is a deep learning framework built for user-friendly, scalable, and efficient performance in model training, with support via CUDA installations. ## Decision facts: agentic-awesome-skills - **Pricing:** freemium - The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills. - **Requirements:** Min 2 GB RAM - **Adopt for:** Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. ## Choose when ### Choose oneflow if… - oneflow is primarily C++; agentic-awesome-skills is Python. - License: oneflow is Apache-2.0, agentic-awesome-skills is MIT. - Tags unique to oneflow: cuda, deep-learning, distributed, machine-learning. - Also covers Model Training. - OneFlow is preferable when you need a user-friendly framework for both CPU and CUDA installations, aiming to streamline the deep learning workflow. ### Choose agentic-awesome-skills if… - agentic-awesome-skills is primarily Python; oneflow is C++. - License: agentic-awesome-skills is MIT, oneflow is Apache-2.0. - Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.. - Requirements: Min 2 GB RAM. - Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools. - Also covers AI Agents, Developer Tools. - - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ## When NOT to use oneflow - Avoid OneFlow if your project requires extensive customization features not natively supported, as switching to another framework might offer better flexibility. - If the development environment lacks support for CUDA or Python3-based installation methods, consider an alternative framework that suits your hardware and software environment more closely. - OneFlow may not be ideal when working in regions with difficulty accessing external libraries due to dependency management tailored towards certain geographic locations. ## When NOT to use agentic-awesome-skills - - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ## Common questions ### What is the difference between oneflow and agentic-awesome-skills? oneflow: OneFlow is a deep learning framework designed to be user-friendly, scalable and efficient.. agentic-awesome-skills: Library of agentic skills for various AI agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose oneflow over agentic-awesome-skills? Choose oneflow over agentic-awesome-skills when oneflow is primarily C++; agentic-awesome-skills is Python; License: oneflow is Apache-2.0, agentic-awesome-skills is MIT; Tags unique to oneflow: cuda, deep-learning, distributed, machine-learning; Also covers Model Training; OneFlow is preferable when you need a user-friendly framework for both CPU and CUDA installations, aiming to streamline the deep learning workflow. ### When should I choose agentic-awesome-skills over oneflow? Choose agentic-awesome-skills over oneflow when agentic-awesome-skills is primarily Python; oneflow is C++; License: agentic-awesome-skills is MIT, oneflow is Apache-2.0; Pricing: The tool is primarily free and open-source under MIT license, though contributions are likely welcomed for more comprehensive or specialized skills.; Requirements: Min 2 GB RAM; Tags unique to agentic-awesome-skills: agent-skills, ai-agents, developer-tools; Also covers AI Agents, Developer Tools; - When you need to enhance a specific domain's functionality with dedicated plugins provided by the library. This tool excels when your AI agent is expected to perform specialized tasks. ### When should I avoid oneflow? Avoid OneFlow if your project requires extensive customization features not natively supported, as switching to another framework might offer better flexibility. If the development environment lacks support for CUDA or Python3-based installation methods, consider an alternative framework that suits your hardware and software environment more closely. OneFlow may not be ideal when working in regions with difficulty accessing external libraries due to dependency management tailored towards certain geographic locations. ### When should I avoid agentic-awesome-skills? - If you are only interested in a few specific skills or plugins available through other dedicated repositories that offer more tailored services. - When your project specifically requires integration with platforms not supported by 'agentic-awesome-skills', such as unique proprietary AI systems without existing support from the library. ### Is oneflow or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (42,843 vs 9,409). Stars measure visibility, not whether either tool fits your constraints. ### Are oneflow and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (oneflow: Apache-2.0, agentic-awesome-skills: MIT). ### Where can I find alternatives to oneflow or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [oneflow alternatives](/tools/oneflow-inc-oneflow/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([oneflow markdown twin](/tools/oneflow-inc-oneflow/alternatives.md), [agentic-awesome-skills markdown twin](/tools/sickn33-antigravity-awesome-skills/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/oneflow-inc-oneflow-vs-sickn33-antigravity-awesome-skills.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, oneflow or agentic-awesome-skills? oneflow: Slowing. agentic-awesome-skills: 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 oneflow and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oneflow trust report](/tools/oneflow-inc-oneflow/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=oneflow-inc-oneflow`](/api/graphcanon/graph?tool=oneflow-inc-oneflow) - 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/_