Comparison
agency vs awesome-ai-apps
Verdict
Pick agency if agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques; pick awesome-ai-apps if awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Markdown twin · agency alternatives · awesome-ai-apps alternatives
GraphCanon updated 1w
vs
Trust & integrity
| Signal | agency | awesome-ai-apps |
|---|---|---|
| Maintenance | Dormant (559d since push) As of 4w · github_public_v1 | Slowing (182d since push) As of 1w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 4w · github_public_v1 | Not a fork · Personal account As of 1w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) 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
- agency
- Library for exploring Large Language Models and generative AI in Go
- awesome-ai-apps
- A curated collection of AI Agents and LLM Apps with various tech stacks
Stars
- agency
- 512
- awesome-ai-apps
- 817
Forks
- agency
- 36
- awesome-ai-apps
- 174
Open issues
- agency
- 4
- awesome-ai-apps
- 27
Language
- agency
- Go
- awesome-ai-apps
- HTML
Adopt for
- agency
- Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques.
- awesome-ai-apps
- awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models.
Persona
- agency
- -
- awesome-ai-apps
- -
Runtime
- agency
- -
- awesome-ai-apps
- -
License
- agency
- MIT
- awesome-ai-apps
- Apache-2.0
Last pushed
- agency
- Jan 8, 2025
- awesome-ai-apps
- Feb 10, 2026
Categories
- agency
- AI Agents, LLM Frameworks
- awesome-ai-apps
- AI Agents, LLM Frameworks
Trust and health
Maintenance
- agency
- Dormant (18%)
- awesome-ai-apps
- Slowing (36%)
Days since push
- agency
- 559d
- awesome-ai-apps
- 182d
Open issues (now)
- agency
- 4
- awesome-ai-apps
- 27
Owner type
- agency
- Organization
- awesome-ai-apps
- User
Full report
- agency
- Trust report
- awesome-ai-apps
- Trust report
Choose agency if…
- agency is primarily Go; awesome-ai-apps is HTML.
- License: agency is MIT, awesome-ai-apps is Apache-2.0.
- Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository..
- Tags unique to agency: generative-ai, go, language-models, neural-networks.
- If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
When NOT to use agency
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem.
- Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
Choose awesome-ai-apps if…
- awesome-ai-apps is primarily HTML; agency is Go.
- License: awesome-ai-apps is Apache-2.0, agency is MIT.
- Tags unique to awesome-ai-apps: ai, apps, automation, framework.
- For exploring real-world implementations of AI agents across different technologies
When NOT to use awesome-ai-apps
- When seeking detailed implementation steps specific to one technology stack
- In scenarios demanding a deep dive into proprietary or less publicly-known application codes
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (neurocult/agency) · observed Jul 21, 2026
- GitHub forks (neurocult/agency) · observed Jul 21, 2026
- Last push (neurocult/agency) · observed Jan 8, 2025
- License file (MIT) · observed Jul 21, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- GitHub forks (rohitg00/awesome-ai-apps) · observed Aug 12, 2026
- Last push (rohitg00/awesome-ai-apps) · observed Feb 10, 2026
- License file (Apache-2.0) · observed Aug 12, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
GitHub stars on cards: agency 512 · awesome-ai-apps 817 (synced Jul 21, 2026).
Common questions
- What is the difference between agency and awesome-ai-apps?
- agency: Library for exploring Large Language Models and generative AI in Go. awesome-ai-apps: A curated collection of AI Agents and LLM Apps with various tech stacks. See the comparison table for live GitHub stats and shared categories.
- When should I choose agency over awesome-ai-apps?
- Choose agency over awesome-ai-apps when agency is primarily Go; awesome-ai-apps is HTML; License: agency is MIT, awesome-ai-apps is Apache-2.0; Pricing: Agency is available under MIT license and is free for use, modification, and distribution. Additional services or integrations might involve costs not outlined within the repository.; Tags unique to agency: generative-ai, go, language-models, neural-networks; If you're proficient in Go and want to implement LLMs within a familiar ecosystem, consider agency.
- When should I choose awesome-ai-apps over agency?
- Choose awesome-ai-apps over agency when awesome-ai-apps is primarily HTML; agency is Go; License: awesome-ai-apps is Apache-2.0, agency is MIT; Tags unique to awesome-ai-apps: ai, apps, automation, framework; For exploring real-world implementations of AI agents across different technologies.
- When should I avoid agency?
- Avoid agency if your primary programming expertise lies outside of the Go ecosystem. Not recommended if you require real-time performance characteristics that surpass what typical LLM exploration libraries can provide.
- When should I avoid awesome-ai-apps?
- When seeking detailed implementation steps specific to one technology stack In scenarios demanding a deep dive into proprietary or less publicly-known application codes
- Is agency or awesome-ai-apps more popular on GitHub?
- awesome-ai-apps has more GitHub stars (817 vs 512). Stars measure visibility, not whether either tool fits your constraints.
- Are agency and awesome-ai-apps open source?
- Yes - both are open-source projects on GitHub (agency: MIT, awesome-ai-apps: Apache-2.0).
- Where can I find alternatives to agency or awesome-ai-apps?
- GraphCanon lists graph-backed alternatives at agency alternatives and awesome-ai-apps alternatives (agency markdown twin, awesome-ai-apps 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, agency or awesome-ai-apps?
- agency: Dormant. awesome-ai-apps: Slowing. 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 agency and awesome-ai-apps?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agency trust report; awesome-ai-apps trust report.