--- title: "CGraph vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/chunelfeng-cgraph-vs-sickn33-antigravity-awesome-skills" tools: ["chunelfeng-cgraph", "sickn33-antigravity-awesome-skills"] --- # CGraph vs agentic-awesome-skills *GraphCanon updated Sep 20, 2026* ## Verdict Pick CGraph if cGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [CGraph](http://www.chunel.cn) reports 2.3k GitHub stars, 390 forks, and 11 open issues, last pushed Sep 7, 2026. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 47k stars, 6.8k forks, and 1 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [CGraph's repository](https://github.com/ChunelFeng/CGraph) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [CGraph](/tools/chunelfeng-cgraph.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | A common used C++ & Python DAG framework | Library of agentic skills for various AI agents | | Stars | 2,302 | 46,613 | | Forks | 390 | 6,799 | | Open issues | 11 | 1 | | Language | C++ | Python | | Adopt for | CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [CGraph](/tools/chunelfeng-cgraph.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Maintenance | Active (82%) | Very active (96%) | | Days since push | 9d | 0d | | Open issues (now) | 11 | 1 | | Stars delta | +8 (30d) | +1.5k (30d) | | Open issues delta | -3 (30d) | -11 (30d) | | Full report | [trust report](/tools/chunelfeng-cgraph/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: CGraph - **Pricing:** freemium - Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes. - **Requirements:** Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage. - **Adopt for:** CGraph is a cross-platform Directed Acyclic Graph (DAG) framework in pure C++, aiding developers in building custom operators and pipelines for various workflows without any third-party dependencies. - **License detail:** MIT ## 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 CGraph if… - CGraph is primarily C++; agentic-awesome-skills is Python. - Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.. - Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.. - Tags unique to CGraph: ai, dag, graph, pipeline. - Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### Choose agentic-awesome-skills if… - agentic-awesome-skills is primarily Python; CGraph is C++. - 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, developer-tools. - Also covers AI Agents. - - 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 CGraph - Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. - Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers. ## 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 CGraph and agentic-awesome-skills? CGraph: A common used C++ & Python DAG framework. 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 CGraph over agentic-awesome-skills? Choose CGraph over agentic-awesome-skills when CGraph is primarily C++; agentic-awesome-skills is Python; Pricing: Free and open-source software with a MIT license, offering gratis usage for all, including for commercial purposes.; Requirements: Min 0.5 GB RAM; C++11 support is required in your compiler.; Python version 'pycgraph' package is supported for Python API usage.; Tags unique to CGraph: ai, dag, graph, pipeline; Use CGraph when you need a cross-platform DAG framework that supports constructing custom operators directly in C++. ### When should I choose agentic-awesome-skills over CGraph? Choose agentic-awesome-skills over CGraph when agentic-awesome-skills is primarily Python; CGraph is C++; 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, developer-tools; Also covers AI Agents; - 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 CGraph? Avoid using CGraph when your workflow primarily involves tasks that are better suited for language ecosystems outside of C++ and Python, such as Java or JavaScript. Do not use this framework if you require specialized features provided by specific third-party libraries that enhance or tailor the capabilities beyond what pure C++ offers. ### 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 CGraph or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (46,613 vs 2,302). Stars measure visibility, not whether either tool fits your constraints. ### Are CGraph and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (CGraph: MIT, agentic-awesome-skills: MIT). ### Where can I find alternatives to CGraph or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [CGraph alternatives](/tools/chunelfeng-cgraph/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([CGraph markdown twin](/tools/chunelfeng-cgraph/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/chunelfeng-cgraph-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, CGraph or agentic-awesome-skills? CGraph: Active. 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 CGraph and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [CGraph trust report](/tools/chunelfeng-cgraph/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=chunelfeng-cgraph`](/api/graphcanon/graph?tool=chunelfeng-cgraph) - 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/_