--- title: "agency vs awesome-ai-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/neurocult-agency-vs-rohitg00-awesome-ai-apps" tools: ["neurocult-agency", "rohitg00-awesome-ai-apps"] --- # agency vs awesome-ai-apps *GraphCanon updated Aug 21, 2026* ## 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. [agency](https://github.com/neurocult/agency) reports 514 GitHub stars, 36 forks, and 4 open issues, last pushed Jan 8, 2025. [awesome-ai-apps](https://agenstskills.com) has 817 stars, 174 forks, and 27 open issues, last pushed Feb 10, 2026. Figures are from public GitHub metadata via [agency's repository](https://github.com/neurocult/agency) and [awesome-ai-apps's repository](https://github.com/rohitg00/awesome-ai-apps). | | [agency](/tools/neurocult-agency.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Tagline | Library for exploring Large Language Models and generative AI in Go | A curated collection of AI Agents and LLM Apps with various tech stacks | | Stars | 514 | 817 | | Forks | 36 | 174 | | Open issues | 4 | 27 | | Language | Go | HTML | | Adopt for | Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. | awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | AI Agents, LLM Frameworks | AI Agents, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agency](/tools/neurocult-agency.md) | [awesome-ai-apps](/tools/rohitg00-awesome-ai-apps.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Slowing (36%) | | Days since push | 589d | 182d | | Open issues (now) | 4 | 27 | | Stars delta | +2 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Owner type | Organization | User | | Full report | [trust report](/tools/neurocult-agency/trust.md) | [trust report](/tools/rohitg00-awesome-ai-apps/trust.md) | ## Decision facts: agency - **Pricing:** freemium - 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. - **Adopt for:** Agency is a Go-idiomatic library aimed at developers looking to work with Large Language Models and generative AI techniques. ## Decision facts: awesome-ai-apps - **Adopt for:** awesome-ai-apps offers curated AI application examples with diverse tech stacks including OpenAI, Gemini, and local models. ## Choose when ### 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. ### 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 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 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 ## 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 514). 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](/tools/neurocult-agency/alternatives) and [awesome-ai-apps alternatives](/tools/rohitg00-awesome-ai-apps/alternatives) ([agency markdown twin](/tools/neurocult-agency/alternatives.md), [awesome-ai-apps markdown twin](/tools/rohitg00-awesome-ai-apps/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/neurocult-agency-vs-rohitg00-awesome-ai-apps.md) 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](/tools/neurocult-agency/trust); [awesome-ai-apps trust report](/tools/rohitg00-awesome-ai-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=neurocult-agency`](/api/graphcanon/graph?tool=neurocult-agency) - 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/_