--- title: "openakita vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/openakita-openakita-vs-sickn33-antigravity-awesome-skills" tools: ["openakita-openakita", "sickn33-antigravity-awesome-skills"] --- # openakita vs agentic-awesome-skills *GraphCanon updated Sep 20, 2026* ## Verdict Pick openakita if decision-relevant data on OpenAkita; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [openakita](http://openakita.ai) reports 2.0k GitHub stars, 277 forks, and 42 open issues, last pushed Sep 18, 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 [openakita's repository](https://github.com/openakita/openakita) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [openakita](/tools/openakita-openakita.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | An open-source AI assistant framework with skills and agent architecture | Library of agentic skills for various AI agents | | Stars | 1,986 | 46,613 | | Forks | 277 | 6,799 | | Open issues | 42 | 1 | | Language | Python | Python | | Adopt for | Decision-relevant data on OpenAkita | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | AGPL-3.0 | MIT | | Categories | AI Agents | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [openakita](/tools/openakita-openakita.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 42 | 1 | | Stars delta | +31 (30d) | +1.5k (30d) | | Open issues delta | +1 (30d) | -11 (30d) | | Full report | [trust report](/tools/openakita-openakita/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: openakita - **Adopt for:** Decision-relevant data on OpenAkita ## 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 openakita if… - License: openakita is AGPL-3.0, agentic-awesome-skills is MIT. - Tags unique to openakita: agent, ai, assistant, automation. - openakita ships Docker support for self-hosted deployment. - For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks ### Choose agentic-awesome-skills if… - License: agentic-awesome-skills is MIT, openakita is AGPL-3.0. - 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 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 openakita - Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly - Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ## 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 openakita and agentic-awesome-skills? openakita: An open-source AI assistant framework with skills and agent architecture. 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 openakita over agentic-awesome-skills? Choose openakita over agentic-awesome-skills when License: openakita is AGPL-3.0, agentic-awesome-skills is MIT; Tags unique to openakita: agent, ai, assistant, automation; openakita ships Docker support for self-hosted deployment; For developing agents that can be customized with specific modular skills suitable for diverse assistant tasks. ### When should I choose agentic-awesome-skills over openakita? Choose agentic-awesome-skills over openakita when License: agentic-awesome-skills is MIT, openakita is AGPL-3.0; 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 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 openakita? Avoid if proprietary or non-open source solutions are preferred as OpenAkita's AGPL-3.0 license mandates sharing modifications publicly Consider alternatives if a less modular approach is desired, since OpenAkita strongly emphasizes a skills-based agent architecture which may complicate straightforward integrations ### 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 openakita or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (46,613 vs 1,986). Stars measure visibility, not whether either tool fits your constraints. ### Are openakita and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (openakita: AGPL-3.0, agentic-awesome-skills: MIT). ### Where can I find alternatives to openakita or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [openakita alternatives](/tools/openakita-openakita/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([openakita markdown twin](/tools/openakita-openakita/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/openakita-openakita-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, openakita or agentic-awesome-skills? openakita: 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 openakita and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [openakita trust report](/tools/openakita-openakita/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=openakita-openakita`](/api/graphcanon/graph?tool=openakita-openakita) - 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/_