
The privacy-first, open-source ChatGPT alternative that runs 100% offline.
Jan is an industry-leading open-source AI orchestration platform designed to run LLMs entirely on-device, ensuring zero data leakage to external servers. Built on a modular C++ architecture known as Nitro, Jan optimizes inference across diverse hardware architectures, including NVIDIA GPUs (via TensorRT and CUDA), Apple Silicon (via Metal), and generic CPUs. By 2026, Jan has positioned itself as the definitive desktop 'AI Operating System' for developers and enterprises who require high-performance local inference without the vendor lock-in or privacy risks of cloud-based models. Its core value proposition lies in its OpenAI-compatible local server, which allows it to act as a drop-in replacement for proprietary APIs in existing development workflows. The platform features a robust extension framework that supports local Retrieval-Augmented Generation (RAG), multimodal vision capabilities, and integration with local vector databases. Its commitment to transparency and data sovereignty makes it a critical tool for regulated industries, including healthcare, legal, and government sectors, where data privacy is non-negotiable.
A lightweight, modular C++ inference engine that powers model execution with minimal overhead.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Native support for NVIDIA's TensorRT for hyper-optimized inference on RTX GPUs.
Exposes a local server that mimics the OpenAI API structure (v1/chat/completions).
A filesystem-based plugin architecture allowing for third-party tools and UI enhancements.
Built-in vector store capabilities to index and query local documents offline.
Granular control over YAML-based model configurations including temperature, top-p, and frequency penalty.
Unified interface for GGUF, TensorRT, and ONNX model formats.
Law firms cannot upload privileged documents to cloud AI services like OpenAI due to client confidentiality.
Registry Updated:2/7/2026
Developers working in secure environments or with poor internet need coding help.
Automating the removal of Personally Identifiable Information before data is sent to secondary processing.