Comparison
dust vs agentic-awesome-skills
Verdict
Pick dust if dust, a TypeScript and Rust-based AI agent platform for workflow acceleration; pick agentic-awesome-skills if library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Markdown twin · dust alternatives · agentic-awesome-skills alternatives
GraphCanon updated 5d
vs
Trust & integrity
| Signal | dust | agentic-awesome-skills |
|---|---|---|
| Maintenance | Very active (0d since push) As of 1w · github_public_v1 | Very active (0d since push) As of 5d · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Personal account As of 5d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- dust
- Custom AI agent platform to speed up your work.
- agentic-awesome-skills
- Library of agentic skills for various AI agents
Stars
- dust
- 1.4k
- agentic-awesome-skills
- 45k
Forks
- dust
- 329
- agentic-awesome-skills
- 6.6k
Open issues
- dust
- 315
- agentic-awesome-skills
- 12
Language
- dust
- TypeScript
- agentic-awesome-skills
- Python
Adopt for
- dust
- Dust, a TypeScript and Rust-based AI agent platform for workflow acceleration.
- agentic-awesome-skills
- Library of agentic skills for various AI agents, offering over 1,900 installable skills across multiple domains.
Persona
- dust
- -
- agentic-awesome-skills
- -
Runtime
- dust
- -
- agentic-awesome-skills
- -
License
- dust
- MIT
- agentic-awesome-skills
- MIT
Last pushed
- dust
- Aug 15, 2026
- agentic-awesome-skills
- Aug 19, 2026
Categories
- dust
- AI Agents
- agentic-awesome-skills
- AI Agents, Developer Tools
Trust and health
Open issues (now)
- dust
- 315
- agentic-awesome-skills
- 12
Stars delta
- dust
- +23 (30d)
- agentic-awesome-skills
- +1.5k (30d)
Open issues delta
- dust
- +68 (30d)
- agentic-awesome-skills
- +11 (30d)
Owner type
- dust
- Organization
- agentic-awesome-skills
- User
OSV dependency advisories
- dust
- No lockfile (source not queried)
- agentic-awesome-skills
- No published findings from this source as of 2026-07-11
Full report
- dust
- Trust report
- agentic-awesome-skills
- Trust report
Choose dust if…
- dust is primarily TypeScript; agentic-awesome-skills is Python.
- Tags unique to dust: agents, large language models, llm, rust.
- dust ships Docker support for self-hosted deployment.
- Need customization in AI agents with TypeScript and Rust support
When NOT to use dust
- Prefer fully managed AI services without needing low-level tuning options
- Require integration with frameworks that do not support TypeScript or Rust
Choose agentic-awesome-skills if…
- agentic-awesome-skills is primarily Python; dust 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, 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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (dust-tt/dust) · observed Aug 15, 2026
- GitHub forks (dust-tt/dust) · observed Aug 15, 2026
- Last push (dust-tt/dust) · observed Aug 15, 2026
- License file (MIT) · observed Aug 15, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- GitHub forks (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- Last push (sickn33/agentic-awesome-skills) · observed Aug 19, 2026
- License file (MIT) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: dust 1.4k · agentic-awesome-skills 45k (synced Aug 15, 2026).
Common questions
- What is the difference between dust and agentic-awesome-skills?
- dust: Custom AI agent platform to speed up your work.. 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 dust over agentic-awesome-skills?
- Choose dust over agentic-awesome-skills when dust is primarily TypeScript; agentic-awesome-skills is Python; Tags unique to dust: agents, large language models, llm, rust; dust ships Docker support for self-hosted deployment; Need customization in AI agents with TypeScript and Rust support.
- When should I choose agentic-awesome-skills over dust?
- Choose agentic-awesome-skills over dust when agentic-awesome-skills is primarily Python; dust 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, 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 dust?
- Prefer fully managed AI services without needing low-level tuning options Require integration with frameworks that do not support TypeScript or Rust
- 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 dust or agentic-awesome-skills more popular on GitHub?
- agentic-awesome-skills has more GitHub stars (45,139 vs 1,438). Stars measure visibility, not whether either tool fits your constraints.
- Are dust and agentic-awesome-skills open source?
- Yes - both are open-source projects on GitHub (dust: MIT, agentic-awesome-skills: MIT).
- Where can I find alternatives to dust or agentic-awesome-skills?
- GraphCanon lists graph-backed alternatives at dust alternatives and agentic-awesome-skills alternatives (dust markdown twin, agentic-awesome-skills 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, dust or agentic-awesome-skills?
- dust: 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 dust and agentic-awesome-skills?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: dust trust report; agentic-awesome-skills trust report.