Jan AI

Open-source desktop app for running local LLMs with full privacy and offline access.

4.2 (5)

Перевірено Daniel Nikulshyn·Оновлено травень 2026 р.

Open Source Privacy Local LLM Desktop App Offline Cross-Platform Developer Tools

Огляд

Jan AI is a desktop application that lets users run large language models directly on their own computer, keeping conversations and data offline by default. It supports a range of open-source models and can also connect to remote APIs like OpenAI when desired. Built as an open-source alternative to cloud chat assistants, Jan provides a familiar chat interface along with model management, local file handling, and extension support. It runs on Windows, macOS, and Linux, and is aimed at developers, researchers, and privacy-conscious users who want control over where their AI workloads execute.

Ключові функції

Local LLM inference on personal devices
Built-in model hub and downloader
Chat interface with conversation history
Optional connections to remote AI providers
Extension and API support for customization
Offline mode with no telemetry by default

Кейси використання

Private offline AI chat

Chat with large language models entirely on your own machine, keeping sensitive conversations and documents off the cloud with no telemetry by default.

Experiment with open-source models

Browse, download, and switch between open-source LLMs via the built-in model hub to compare outputs and find the best fit for your tasks.

Hybrid local and cloud workflows

Use local inference for private work and optionally connect to remote providers like OpenAI when you need more powerful models for specific tasks.

Custom AI tooling for developers

Leverage extension and API support to build custom integrations, automate workflows, or embed Jan's local LLM capabilities into developer pipelines.

Плюси і мінуси

Плюси

Fully local execution keeps data private
Open-source and self-hostable
Cross-platform support for Windows, macOS, and Linux
Works with many open models and optional cloud APIs

Мінуси

Performance depends on local hardware
Larger models require significant RAM and disk space
Setup can be technical for non-developers

Відгуки

4.2

Середнє з 5 оцінок.

Увійди, щоб залишити відгук.

Grace Okafor

Years in this space

I've evaluated a lot of these over the years. What stands out here is extension and API support for customization — handled better than most — and works with many open models and optional cloud APIs. Larger models require significant RAM and disk space is my one real gripe. Worth the time if this is your use case.

Naomi Suzuki

Years in this space

I've evaluated a lot of these over the years. What stands out here is offline mode with no telemetry by default — handled better than most — and fully local execution keeps data private. Setup can be technical for non-developers is my one real gripe. Worth the time if this is your use case.

Jamal Carter

Compared a few options

Evaluated this against two competitors. Where it wins: extension and API support for customization and open-source and self-hostable. On balance the feature set — especially local LLM inference on personal devices — justifies the 5 stars for our use case.

Hannah Goldberg

Solid for our team

We rolled this out across the team last quarter and open-source and self-hostable. Optional connections to remote AI providers fits neatly into how we already work, and chat interface with conversation history removed a step we used to do by hand. Performance depends on local hardware, which is the main caveat, but it has held up under daily use.

Gunnar Eriksson

Compared a few options

Evaluated this against two competitors. Where it wins: local LLM inference on personal devices and cross-platform support for Windows, macOS, and Linux. Where it lags: setup can be technical for non-developers. On balance the feature set — especially built-in model hub and downloader — justifies the 4 stars for our use case.