back to top
HomeSoftwareAI ToolsJan AI: Best Open Source ChatGPT Alternative to Run Language Models Locally...

Jan AI: Best Open Source ChatGPT Alternative to Run Language Models Locally on Any Platform

- Advertisement -

File Info

FileDetails
NameJan
Versionv0.7.7 (Stable)
LicenseApache 2.0 License (Open Source)
Size50MB (.exe) • 81MB (.dmg) • 144MB (AppImage) • 77.8MB (.deb)
Supported OSWindows • macOS • Linux
File Types.exe (Windows), .dmg (macOS), .AppImage & .deb (Linux)
Github RepositoryGithub/jan
Official SiteJan

Description

Jan is a fully offline, local-first AI companion designed to put control, privacy & performance back in your hand. Jan makes it incredibly simple to download, run, and interact with Local LLMs like Llama (by Meta), Gemma (by Google) , Qwen and more, all without sending a single byte to the cloud unless you choose to.

Features of Jan AI

FeatureWhat It Does
Local AI ModelsDownload and run LLMs like Llama, Gemma, Qwen, GPT-OSS and others directly from HuggingFace on your own machine.
Cloud IntegrationConnect to hosted models from providers like OpenAI (GPT), Anthropic (Claude), Mistral, Groq, and more.
Custom AssistantsCreate task-specific AI assistants tailored to writing, coding, research, or automation.
OpenAI-Compatible APIRuns a local API server at localhost:1337, allowing other apps to interact with your local models.
Model Context Protocol (MCP)Supports MCP for advanced agent-style workflows and tool integrations.
Privacy-First DesignOperates fully locally when preferred, giving you full control over data and model usage.

Screenshots

System Requirements

Below are the recommended system requirements to run this software in your system.

OSMin RAMDisk SpaceGPU Recommendation
Windows8GB5GB+NVIDIA RTX 20 or higher series
macOS8GB5GB+Apple Silicon or Intel i5+
Linux8GB5GB+Any GPU with CUDA/ROCm/XPU

How to Install??

Scroll down to the Download Section & grab the appropriate file for your system — .exe for Windows, .dmg for macOS, .AppImage or .deb for Linux. Once you’ve downloaded the installer, follow the step-by-step instructions below based on your platform.

Windows (.exe)

  1. Download the .exe installer from the section below.
  2. Double-click to launch the installer.
  3. Follow the on-screen setup instructions.
  4. After installation, launch Jan AI from your desktop or Start menu.
  5. Choose a local model or connect to an online API, you’re ready to go!

macOS (.dmg)

  1. Download the .dmg file.
  2. Double-click to mount the disk image.
  3. Drag the Jan AI app to your Applications folder.
  4. Open the app (You may need to allow it in System Settings > Security & Privacy).
  5. Start your private AI journey online or offline.

Linux (.AppImage)

  1. Download the .AppImage file.
  2. Right-click the file and open Properties.
  3. Enable Allow executing file as program.
  4. Double-click the AppImage to launch it.
  5. Install the AI model of your Choice from Model hub & start Chatting!

Linux (.deb)

  1. Download the .deb file
  2. Open the file
  3. It will open in your system’s Software Install application, Install it.
  4. After Installation, Launch the app from your Applications Menu.

Jan AI: Best Open Source ChatGPT alternative Download

Why Choose Jan AI

If you want to run AI models Locally in your system without any terminal or python setup. Jan AI is a great option. It provides you with the Desktop app which can be easily isntalled and you can choose between any Online Provide like OpenAI, Claude, Gemini, OpenRouter or you can use Offline & open source AI models directly in the app.

LEAVE A REPLY

Please enter your comment!
Please enter your name here

YOU MAY ALSO LIKE
KanBots Open-Source AI Kanban Board for Claude Code & Codex Agents

KanBots: Open-Source AI Kanban Board for Claude Code & Codex Agents

0
Kanbots is a local-first AI kanban board designed for developers who want AI agents to work on multiple tasks in parallel instead of one conversation at a time. You open a repository, drop it into Kanbots, and instantly get a visual board where every card can become its own autonomous AI task. Claude Code or Codex agents run inside isolated git worktrees, allowing multiple coding sessions to happen simultaneously without interfering with each other. It treats AI agents more like active team members than chat assistants. Agents can split tasks into subtasks, review their own work, iterate in autopilot cycles, run QA loops, and continue refining changes until tests pass or a budget limit is reached. The board updates live as agents work, showing logs, decisions, costs, branches, and progress in real time. Kanbots stays heavily focused on local ownership. Everything lives inside the .kanbots/ directory within your project, database, configs, worktrees, attachments, and runtime state.
Osaurus Open-Source macOS AI App for Running Local LLMs Offline

Osaurus: Open-Source macOS AI App for Running Local LLMs Offline

0
Osaurus is a macOS-native AI harness designed around an idea "Your AI should belong to you." Instead of locking users into a single AI provider or cloud platform, Osaurus acts as a local control layer that sits between your AI models, tools, memory, and workflows. You can switch between local models running directly on Apple Silicon or connect cloud providers like OpenAI and Anthropic whenever you need extra power.
openhuman app

OpenHuman: Open-Source Personal AI Assistant With Memory, Voice & Integrations

0
OpenHuman is trying to make personal AI assistants feel less like developer tools and more like something you can actually live with every day. You install it, connect apps like Gmail, Notion, GitHub, Slack, or Calendar, and it starts building a private memory system from your data on your own machine. It feels closer to installing a desktop app and getting started in a few minutes. It also comes with a lot built in already including voice support, web search, coding tools, local AI through Ollama, and a memory system that stores everything as Markdown inside an Obsidian compatible vault. The agent keeps syncing connected apps every 20 minutes, so it slowly builds context around your work. The project is still in early beta, so there are rough edges, but the direction is interesting. Especially if you've been looking for an AI assistant that feels personal.

Don’t miss any Tech Story

Subscribe To Firethering NewsLetter

You Can Unsubscribe Anytime! Read more in our privacy policy