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Jan

by Jan AI

Open-source desktop application for running LLMs locally — a fully offline ChatGPT alternative for APAC regulated enterprises, with local API server, model library, and extension system for building private APAC AI workflows without cloud dependency.

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AIMenta verdict
Decent fit
4/5

"Open-source local LLM app — APAC developers and security-conscious teams use Jan as a self-hosted ChatGPT alternative running open-source LLMs entirely on-device for APAC air-gapped and regulated enterprise environments."

Features
6
Use cases
1
Watch outs
3
What it does

Key features

  • Fully open-source: AGPLv3 licensed with zero telemetry for APAC compliance
  • Offline-first: APAC air-gapped deployment with no network requirement
  • Extension system: APAC tool integrations via marketplace (search, code, retrieval)
  • Local API server: OpenAI-compatible for APAC application development
  • Cortex CLI: headless APAC server inference without desktop GUI
  • Business-friendly UI: APAC non-technical users can self-serve AI tasks
When to reach for it

Best for

  • APAC regulated enterprises needing a fully auditable, zero-telemetry local LLM platform for employee self-service AI — particularly APAC government agencies, financial institutions, and healthcare organizations operating in air-gapped or data-sovereign environments.
Don't get burned

Limitations to know

  • ! Smaller APAC community than LM Studio — fewer third-party extensions and integrations
  • ! Extension ecosystem is early-stage — APAC teams may need to build custom extensions
  • ! Performance on par with LM Studio but interface has fewer developer-focused features
Context

About Jan

Jan is a fully open-source (AGPLv3) desktop application for running LLMs locally — providing a ChatGPT-like experience that runs entirely on-device without any telemetry, cloud connectivity, or data transmission. APAC enterprises in regulated sectors use Jan as their private AI assistant where all APAC data sovereignty requirements are met by design, not by policy.

Jan's extension architecture allows APAC teams to extend functionality beyond basic chat — adding web search tools, document retrieval, code execution, and custom APAC tool integrations through the Jan extension marketplace. Unlike LM Studio (which is more developer-focused), Jan targets both APAC developers and business users with a polished desktop interface that non-technical APAC employees can use for day-to-day AI tasks.

Jan's server mode provides an OpenAI-compatible local API for APAC development teams building applications — running Jan as a backend that any APAC OpenAI SDK application can target by changing the base URL. Jan supports multiple concurrent APAC connections and model switching, enabling APAC teams to evaluate different models through the same application interface.

Jan's Cortex backend (the inference engine underlying Jan) is available as a standalone CLI for APAC teams that need headless local LLM inference in APAC server environments without the desktop GUI. This enables APAC CI/CD pipelines, automated APAC document processing, and batch LLM inference jobs on APAC Linux servers without requiring a display.

Beyond this tool

Where this category meets practice depth.

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