--- title: "aiac vs jan" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/gofireflyio-aiac-vs-janhq-jan" tools: ["gofireflyio-aiac", "janhq-jan"] --- # aiac vs jan *GraphCanon updated Jul 15, 2026* ## Verdict Pick aiac when aiac is primarily Go; jan is TypeScript; pick jan when jan is primarily TypeScript; aiac is Go. [aiac](https://github.com/gofireflyio/aiac) reports 3.8k GitHub stars, 294 forks, and 2 open issues, last pushed Mar 24, 2026. [jan](https://jan.ai/) has 43k stars, 2.9k forks, and 387 open issues, last pushed Jul 10, 2026. Figures are from public GitHub metadata via [aiac's repository](https://github.com/gofireflyio/aiac) and [jan's repository](https://github.com/janhq/jan). | | [aiac](/tools/gofireflyio-aiac.md) | [jan](/tools/janhq-jan.md) | | --- | --- | --- | | Tagline | Artificial Intelligence Infrastructure-as-Code Generator. | open source alternative to ChatGPT that runs offline locally | | Stars | 3,787 | 43,499 | | Forks | 294 | 2,896 | | Open issues | 2 | 387 | | Language | Go | TypeScript | | Adopt for | - | Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. | | Persona | - | - | | Runtime | - | - | | License | Apache-2.0 | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [aiac](/tools/gofireflyio-aiac.md) | [jan](/tools/janhq-jan.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 113d | 1d | | Open issues (now) | 2 | 387 | | Full report | [trust report](/tools/gofireflyio-aiac/trust.md) | [trust report](/tools/janhq-jan/trust.md) | ## Decision facts: jan - **Adopt for:** Jan is a TypeScript-based, self-hosted chatbot application that acts as an offline alternative to services like ChatGPT. ## Choose when ### Choose aiac if… - aiac is primarily Go; jan is TypeScript. - License: aiac is Apache-2.0, jan is Other. - Tags unique to aiac: ai, amazon-bedrock, iac, llms. - aiac ships Docker support for self-hosted deployment. ### Choose jan if… - jan is primarily TypeScript; aiac is Go. - License: jan is Other, aiac is Apache-2.0. - Tags unique to jan: gpt, llamacpp, llm, localai. - - If you require an offline-capable AI assistant for environments without internet access. ## When NOT to use aiac - Last GitHub push was 113 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on aiac. - Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. - LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ## When NOT to use jan - - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information. ## Common questions ### What is the difference between aiac and jan? aiac: Artificial Intelligence Infrastructure-as-Code Generator.. jan: open source alternative to ChatGPT that runs offline locally. See the comparison table for live GitHub stats and shared categories. ### When should I choose aiac over jan? Choose aiac over jan when aiac is primarily Go; jan is TypeScript; License: aiac is Apache-2.0, jan is Other; Tags unique to aiac: ai, amazon-bedrock, iac, llms; aiac ships Docker support for self-hosted deployment. ### When should I choose jan over aiac? Choose jan over aiac when jan is primarily TypeScript; aiac is Go; License: jan is Other, aiac is Apache-2.0; Tags unique to jan: gpt, llamacpp, llm, localai; - If you require an offline-capable AI assistant for environments without internet access. ### When should I avoid aiac? Last GitHub push was 113 days ago (slowing maintenance, Mar 24, 2026). Validate activity before betting a new project on aiac. Inference & Serving: Self-hosting rarely beats a hosted API on cost until you have steady, high-volume traffic. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. ### When should I avoid jan? - If you require real-time updates to the AI model, since Jan uses static local models which may not get frequent updates. - When a vast knowledge base or continuous learning capabilities are essential, as Jan's offline nature constrains its ability to stay current with new information. ### Is aiac or jan more popular on GitHub? jan has more GitHub stars (43,499 vs 3,787). Stars measure visibility, not whether either tool fits your constraints. ### Are aiac and jan open source? Yes - both are open-source projects on GitHub (aiac: Apache-2.0, jan: Other). ### Where can I find alternatives to aiac or jan? GraphCanon lists graph-backed alternatives at [aiac alternatives](/tools/gofireflyio-aiac/alternatives) and [jan alternatives](/tools/janhq-jan/alternatives) ([aiac markdown twin](/tools/gofireflyio-aiac/alternatives.md), [jan markdown twin](/tools/janhq-jan/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/gofireflyio-aiac-vs-janhq-jan.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, aiac or jan? aiac: Slowing. jan: 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 aiac and jan? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [aiac trust report](/tools/gofireflyio-aiac/trust); [jan trust report](/tools/janhq-jan/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=gofireflyio-aiac`](/api/graphcanon/graph?tool=gofireflyio-aiac) - 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/_