--- title: "incognide vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/npc-worldwide-incognide-vs-sickn33-antigravity-awesome-skills" tools: ["npc-worldwide-incognide", "sickn33-antigravity-awesome-skills"] --- # incognide vs agentic-awesome-skills *GraphCanon updated Aug 25, 2026* ## Verdict Pick incognide if incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [incognide](https://enpisi.com/incognide.html) reports 467 GitHub stars, 46 forks, and 15 open issues, last pushed Aug 21, 2026. [agentic-awesome-skills](https://sickn33.github.io/agentic-awesome-skills/) has 45k stars, 6.6k forks, and 12 open issues, last pushed Aug 19, 2026. Figures are from public GitHub metadata via [incognide's repository](https://github.com/NPC-Worldwide/incognide) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [incognide](/tools/npc-worldwide-incognide.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | Develops AI agents and integrates llms for inference | Library of agentic skills for various AI agents | | Stars | 467 | 45,139 | | Forks | 46 | 6,610 | | Open issues | 15 | 12 | | Language | TypeScript | Python | | Adopt for | Incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | AI Agents, Inference & Serving, LLM Frameworks | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [incognide](/tools/npc-worldwide-incognide.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Days since push | 4d | 0d | | Open issues (now) | 15 | 12 | | Stars delta | +8 (30d) | +1.5k (30d) | | Open issues delta | -3 (30d) | +11 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/npc-worldwide-incognide/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: incognide - **Adopt for:** Incognide is a TypeScript library for developing AI agents with integrated capabilities for llm-inference. ## 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 incognide if… - incognide is primarily TypeScript; agentic-awesome-skills is Python. - Tags unique to incognide: agents, artificial-intelligence, llm-inference, llms. - Also covers Inference & Serving, LLM Frameworks. - incognide ships Docker support for self-hosted deployment. - When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features ### Choose agentic-awesome-skills if… - agentic-awesome-skills is primarily Python; incognide is TypeScript. - 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 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 incognide - If your project requires languages other than TypeScript as the primary language - Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase ## 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 incognide and agentic-awesome-skills? incognide: Develops AI agents and integrates llms for inference. 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 incognide over agentic-awesome-skills? Choose incognide over agentic-awesome-skills when incognide is primarily TypeScript; agentic-awesome-skills is Python; Tags unique to incognide: agents, artificial-intelligence, llm-inference, llms; Also covers Inference & Serving, LLM Frameworks; incognide ships Docker support for self-hosted deployment; When you need a TypeScript-based solution to develop AI agents that integrate llm-inference features. ### When should I choose agentic-awesome-skills over incognide? Choose agentic-awesome-skills over incognide when agentic-awesome-skills is primarily Python; incognide is TypeScript; 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 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 incognide? If your project requires languages other than TypeScript as the primary language Not suitable if you are looking for ready-to-deploy production tools, given its focus on research and development phase ### 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 incognide or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (45,139 vs 467). Stars measure visibility, not whether either tool fits your constraints. ### Are incognide and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (incognide: MIT, agentic-awesome-skills: MIT). ### Where can I find alternatives to incognide or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [incognide alternatives](/tools/npc-worldwide-incognide/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([incognide markdown twin](/tools/npc-worldwide-incognide/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/npc-worldwide-incognide-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, incognide or agentic-awesome-skills? incognide: Very 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 incognide and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [incognide trust report](/tools/npc-worldwide-incognide/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=npc-worldwide-incognide`](/api/graphcanon/graph?tool=npc-worldwide-incognide) - 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/_