--- title: "chatllm.cpp vs jan" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/foldl-chatllm-cpp-vs-janhq-jan" tools: ["foldl-chatllm-cpp", "janhq-jan"] --- # chatllm.cpp vs jan *GraphCanon updated Jul 11, 2026* ## Verdict Pick chatllm.cpp when chatllm.cpp is primarily C++; jan is TypeScript; pick jan when jan is primarily TypeScript; chatllm.cpp is C++. [chatllm.cpp](https://github.com/foldl/chatllm.cpp) reports 908 GitHub stars, 71 forks, and 11 open issues, last pushed Jul 7, 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 [chatllm.cpp's repository](https://github.com/foldl/chatllm.cpp) and [jan's repository](https://github.com/janhq/jan). | | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | [jan](/tools/janhq-jan.md) | | --- | --- | --- | | Tagline | Pure C++ implementation of several models for real-time chatting on your computer (CPU & GPU) | open source alternative to ChatGPT that runs offline locally | | Stars | 908 | 43,499 | | Forks | 71 | 2,896 | | Open issues | 11 | 387 | | Language | C++ | 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 | MIT | Other | | Categories | Inference & Serving, LLM Frameworks | Inference & Serving, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [chatllm.cpp](/tools/foldl-chatllm-cpp.md) | [jan](/tools/janhq-jan.md) | | --- | --- | --- | | Days since push | 4d | 1d | | Open issues (now) | 11 | 387 | | Owner type | User | Organization | | Full report | [trust report](/tools/foldl-chatllm-cpp/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 chatllm.cpp if… - chatllm.cpp is primarily C++; jan is TypeScript. - License: chatllm.cpp is MIT, jan is Other. - Tags unique to chatllm.cpp: c++, llm-inference. ### Choose jan if… - jan is primarily TypeScript; chatllm.cpp is C++. - License: jan is Other, chatllm.cpp is MIT. - Tags unique to jan: chatgpt, gpt, llamacpp, localai. - - If you require an offline-capable AI assistant for environments without internet access. ## When NOT to use chatllm.cpp - 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 chatllm.cpp and jan? chatllm.cpp: Pure C++ implementation of several models for real-time chatting on your computer (CPU & GPU). 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 chatllm.cpp over jan? Choose chatllm.cpp over jan when chatllm.cpp is primarily C++; jan is TypeScript; License: chatllm.cpp is MIT, jan is Other; Tags unique to chatllm.cpp: c++, llm-inference. ### When should I choose jan over chatllm.cpp? Choose jan over chatllm.cpp when jan is primarily TypeScript; chatllm.cpp is C++; License: jan is Other, chatllm.cpp is MIT; Tags unique to jan: chatgpt, gpt, llamacpp, localai; - If you require an offline-capable AI assistant for environments without internet access. ### When should I avoid chatllm.cpp? 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 chatllm.cpp or jan more popular on GitHub? jan has more GitHub stars (43,499 vs 908). Stars measure visibility, not whether either tool fits your constraints. ### Are chatllm.cpp and jan open source? Yes - both are open-source projects on GitHub (chatllm.cpp: MIT, jan: Other). ### Where can I find alternatives to chatllm.cpp or jan? GraphCanon lists graph-backed alternatives at [chatllm.cpp alternatives](/tools/foldl-chatllm-cpp/alternatives) and [jan alternatives](/tools/janhq-jan/alternatives) ([chatllm.cpp markdown twin](/tools/foldl-chatllm-cpp/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/foldl-chatllm-cpp-vs-janhq-jan.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, chatllm.cpp or jan? chatllm.cpp: Very active. 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 chatllm.cpp and jan? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [chatllm.cpp trust report](/tools/foldl-chatllm-cpp/trust); [jan trust report](/tools/janhq-jan/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=foldl-chatllm-cpp`](/api/graphcanon/graph?tool=foldl-chatllm-cpp) - 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/_