Comparison
skyagi vs awesome
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.
Markdown twin · skyagi alternatives · awesome alternatives
GraphCanon updated today
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Trust & integrity
| Signal | skyagi | awesome |
|---|---|---|
| Maintenance | Dormant (1023d since push) As of today · github_public_v1 | Active (11d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No criticals As of today · osv@v1 | No lockfile As of today · none |
Tagline
- skyagi
- SkyAGI: Emerging human-behavior simulation capability in LLM
- awesome
- 😎 Curated list of awesome topics including hardware resources
Stars
- skyagi
- 777
- awesome
- 484k
Forks
- skyagi
- 56
- awesome
- 36k
Open issues
- skyagi
- 41
- awesome
- 92
Language
- skyagi
- TypeScript
- awesome
- -
Adopt for
- skyagi
- -
- awesome
- -
Persona
- skyagi
- -
- awesome
- -
Runtime
- skyagi
- -
- awesome
- -
License
- skyagi
- Apache-2.0
- awesome
- CC0-1.0
Last pushed
- skyagi
- Sep 21, 2023
- awesome
- Jun 30, 2026
Categories
- skyagi
- AI Agents, LLM Frameworks
- awesome
- LLM Frameworks
Trust and health
Maintenance
- skyagi
- Dormant (18%)
- awesome
- Active (82%)
Days since push
- skyagi
- 1023d
- awesome
- 11d
Open issues (now)
- skyagi
- 41
- awesome
- 92
Security scan
- skyagi
- No criticals
- awesome
- No lockfile
Full report
- skyagi
- Trust report
- awesome
- Trust report
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.
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.
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
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 awesome
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (litanlitudan/skyagi) · observed Jul 11, 2026
- GitHub forks (litanlitudan/skyagi) · observed Jul 11, 2026
- Last push (litanlitudan/skyagi) · observed Sep 21, 2023
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sindresorhus/awesome) · observed Jul 11, 2026
- GitHub forks (sindresorhus/awesome) · observed Jul 11, 2026
- Last push (sindresorhus/awesome) · observed Jun 30, 2026
- License file (CC0-1.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: skyagi 777 · awesome 484k (synced Jul 11, 2026).
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. AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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 and awesome alternatives (skyagi markdown twin, awesome markdown twin), 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 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; awesome trust report.