--- title: "DeepSeek-Reasonix vs agentic-awesome-skills" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/esengine-deepseek-reasonix-vs-sickn33-antigravity-awesome-skills" tools: ["esengine-deepseek-reasonix", "sickn33-antigravity-awesome-skills"] --- # DeepSeek-Reasonix vs agentic-awesome-skills *GraphCanon updated Aug 19, 2026* ## Verdict Pick DeepSeek-Reasonix if deepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. [DeepSeek-Reasonix](http://reasonix.io/) reports 35k GitHub stars, 2.3k forks, and 1.4k open issues, last pushed Aug 16, 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 [DeepSeek-Reasonix's repository](https://github.com/esengine/DeepSeek-Reasonix) and [agentic-awesome-skills's repository](https://github.com/sickn33/agentic-awesome-skills). | | [DeepSeek-Reasonix](/tools/esengine-deepseek-reasonix.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Tagline | DeepSeek-native AI coding agent for your terminal. | Library of agentic skills for various AI agents | | Stars | 34,643 | 45,139 | | Forks | 2,303 | 6,610 | | Open issues | 1,433 | 12 | | Language | Go | Python | | Adopt for | DeepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable. | Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains. | | Persona | - | - | | Runtime | - | - | | License | Licensed under MIT, offering wide usage freedoms provided users comply with its terms regarding redistribution and modification without warranty. | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [DeepSeek-Reasonix](/tools/esengine-deepseek-reasonix.md) | [agentic-awesome-skills](/tools/sickn33-antigravity-awesome-skills.md) | | --- | --- | --- | | Open issues (now) | 1.4k | 12 | | Stars delta | +7.5k (30d) | +1.5k (30d) | | Open issues delta | +202 (30d) | +11 (30d) | | Full report | [trust report](/tools/esengine-deepseek-reasonix/trust.md) | [trust report](/tools/sickn33-antigravity-awesome-skills/trust.md) | ## Decision facts: DeepSeek-Reasonix - **Requirements:** Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix. - **Adopt for:** DeepSeek-Reasonix is a real-time AI coding assistant that operates seamlessly within the terminal due to its focus on prefix-cache stability, making continuous operation smooth and reliable. - **License detail:** Licensed under MIT, offering wide usage freedoms provided users comply with its terms regarding redistribution and modification without warranty. ## 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 DeepSeek-Reasonix if… - DeepSeek-Reasonix is primarily Go; agentic-awesome-skills is Python. - Requirements: Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix.. - Tags unique to DeepSeek-Reasonix: agent-framework, ai-coding, cli, coding-agent. - - When your project heavily relies on continuous presence in the terminal for coding tasks ### Choose agentic-awesome-skills if… - agentic-awesome-skills is primarily Python; DeepSeek-Reasonix is Go. - 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. - - 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 DeepSeek-Reasonix - - Avoid if your environment isn't conducive to long-running processes in the terminal, potentially leading to performance issues unrelated to DeepSeek-Reasonix itself but due to environmental factors - - If you are not looking for a tool integrated closely with the Go language ecosystem and prefer broader support or different programming languages ## 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 DeepSeek-Reasonix and agentic-awesome-skills? DeepSeek-Reasonix: DeepSeek-native AI coding agent for your terminal.. 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 DeepSeek-Reasonix over agentic-awesome-skills? Choose DeepSeek-Reasonix over agentic-awesome-skills when DeepSeek-Reasonix is primarily Go; agentic-awesome-skills is Python; Requirements: Ensure your terminal environment supports continuous processes for leveraging the full benefits of DeepSeek-Reasonix.; Tags unique to DeepSeek-Reasonix: agent-framework, ai-coding, cli, coding-agent; - When your project heavily relies on continuous presence in the terminal for coding tasks. ### When should I choose agentic-awesome-skills over DeepSeek-Reasonix? Choose agentic-awesome-skills over DeepSeek-Reasonix when agentic-awesome-skills is primarily Python; DeepSeek-Reasonix is Go; 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; - 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 DeepSeek-Reasonix? - Avoid if your environment isn't conducive to long-running processes in the terminal, potentially leading to performance issues unrelated to DeepSeek-Reasonix itself but due to environmental factors - If you are not looking for a tool integrated closely with the Go language ecosystem and prefer broader support or different programming languages ### 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 DeepSeek-Reasonix or agentic-awesome-skills more popular on GitHub? agentic-awesome-skills has more GitHub stars (45,139 vs 34,643). Stars measure visibility, not whether either tool fits your constraints. ### Are DeepSeek-Reasonix and agentic-awesome-skills open source? Yes - both are open-source projects on GitHub (DeepSeek-Reasonix: MIT, agentic-awesome-skills: MIT). ### Where can I find alternatives to DeepSeek-Reasonix or agentic-awesome-skills? GraphCanon lists graph-backed alternatives at [DeepSeek-Reasonix alternatives](/tools/esengine-deepseek-reasonix/alternatives) and [agentic-awesome-skills alternatives](/tools/sickn33-antigravity-awesome-skills/alternatives) ([DeepSeek-Reasonix markdown twin](/tools/esengine-deepseek-reasonix/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/esengine-deepseek-reasonix-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, DeepSeek-Reasonix or agentic-awesome-skills? DeepSeek-Reasonix: 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 DeepSeek-Reasonix and agentic-awesome-skills? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [DeepSeek-Reasonix trust report](/tools/esengine-deepseek-reasonix/trust); [agentic-awesome-skills trust report](/tools/sickn33-antigravity-awesome-skills/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=esengine-deepseek-reasonix`](/api/graphcanon/graph?tool=esengine-deepseek-reasonix) - 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/_