--- title: "skyagi vs awesome" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/litanlitudan-skyagi-vs-sindresorhus-awesome" tools: ["litanlitudan-skyagi", "sindresorhus-awesome"] --- # skyagi vs awesome *GraphCanon updated Jul 12, 2026* ## Verdict Pick skyagi when license: skyagi is Apache-2.0, awesome is CC0-1.0; pick awesome when license: awesome is CC0-1.0, skyagi is Apache-2.0. [skyagi](https://skyagi.ai) reports 777 GitHub stars, 56 forks, and 41 open issues, last pushed Sep 21, 2023. [awesome](https://github.com/sindresorhus/awesome) has 484k stars, 36k forks, and 92 open issues, last pushed Jun 30, 2026. Figures are from public GitHub metadata via [skyagi's repository](https://github.com/litanlitudan/skyagi) and [awesome's repository](https://github.com/sindresorhus/awesome). | | [skyagi](/tools/litanlitudan-skyagi.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Tagline | SkyAGI: Emerging human-behavior simulation capability in LLM | 😎 Curated list of awesome topics including hardware resources | | Stars | 777 | 484,026 | | Forks | 56 | 35,799 | | Open issues | 41 | 92 | | Language | TypeScript | - | | Adopt for | - | - | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | CC0-1.0 | | Categories | LLM Frameworks, AI Agents | LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [skyagi](/tools/litanlitudan-skyagi.md) | [awesome](/tools/sindresorhus-awesome.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Active (82%) | | Days since push | 1023d | 11d | | Open issues (now) | 41 | 92 | | Security scan | No criticals | No lockfile | | Full report | [trust report](/tools/litanlitudan-skyagi/trust.md) | [trust report](/tools/sindresorhus-awesome/trust.md) | ## Choose when ### Choose skyagi if… - License: skyagi is Apache-2.0, awesome is CC0-1.0. - Tags unique to skyagi: llm, aigc, langchain, typescript. - Also covers AI Agents. ### Choose awesome if… - License: awesome is CC0-1.0, skyagi is Apache-2.0. - Tags unique to awesome: resources, awesome-list. - More GitHub stars (484k vs 777) - visibility, not fit. ## When NOT to use skyagi - Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## When NOT to use awesome - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## Common questions ### What is the difference between skyagi and awesome? skyagi: SkyAGI: Emerging human-behavior simulation capability in LLM. awesome: 😎 Curated list of awesome topics including hardware resources. See the comparison table for live GitHub stats and shared categories. ### When should I choose skyagi over awesome? Choose skyagi over awesome when License: skyagi is Apache-2.0, awesome is CC0-1.0; Tags unique to skyagi: llm, aigc, langchain, typescript; Also covers AI Agents. ### When should I choose awesome over skyagi? Choose awesome over skyagi when License: awesome is CC0-1.0, skyagi is Apache-2.0; Tags unique to awesome: resources, awesome-list; More GitHub stars (484k vs 777) - visibility, not fit. ### When should I avoid skyagi? Last GitHub push was 1024 days ago (dormant maintenance, Sep 21, 2023). Validate activity before betting a new project on skyagi. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### When should I avoid awesome? LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### Is skyagi or awesome more popular on GitHub? awesome has more GitHub stars (484,026 vs 777). Stars measure visibility, not whether either tool fits your constraints. ### Are skyagi and awesome open source? Yes - both are open-source projects on GitHub (skyagi: Apache-2.0, awesome: CC0-1.0). ### Where can I find alternatives to skyagi or awesome? GraphCanon lists graph-backed alternatives at [skyagi alternatives](/tools/litanlitudan-skyagi/alternatives) and [awesome alternatives](/tools/sindresorhus-awesome/alternatives) ([skyagi markdown twin](/tools/litanlitudan-skyagi/alternatives.md), [awesome markdown twin](/tools/sindresorhus-awesome/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/litanlitudan-skyagi-vs-sindresorhus-awesome.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, skyagi or awesome? skyagi: Dormant. awesome: 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 skyagi and awesome? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [skyagi trust report](/tools/litanlitudan-skyagi/trust); [awesome trust report](/tools/sindresorhus-awesome/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=litanlitudan-skyagi`](/api/graphcanon/graph?tool=litanlitudan-skyagi) - 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/_