Jan
Open Source
Open-source AI
Local LLM runner
Privacy-focused
Developer-friendly
Model-agnostic
Personal Intelligence that answers only to you
Last updated: Apr 15, 2026
OPEN_SOURCE
jan.ai
Quick Answer
Jan is an open-source, desktop AI assistant that runs large language models (LLMs) entirely on your computer, ensuring complete data privacy. It supports a wide range of local and remote models, offers real-time web search, and enables autonomous AI agents. Best for users prioritizing privacy and local control over their AI interactions. It is free and open-source.
About Jan
Jan is an open-source, local AI assistant that runs entirely on your computer, ensuring privacy and data ownership. It allows users to chat with various large language models offline and perform tasks like research and analysis. Free and open-source, Jan offers a private alternative to cloud-based AI.
What Makes It Unique
Jan allows users to run large language models (LLMs) entirely offline on their own hardware, providing full data privacy and ownership, and supports a wide range of open and proprietary models.
Use Cases & Target Users
Best For
Running large language models locally for privacy
Developing and testing AI agents on personal hardware
Conducting deep research with local AI models
Chatting with AI without cloud dependency
Users seeking full ownership over their AI stack
Company Size
SOLO
SMALL
Fit Score
Complexity
INTERMEDIATE
Target Team Size
INDIVIDUAL
SMALL_TEAM
Target Skill Level
BEGINNER
INTERMEDIATE
Key Features
Runs 100% offline on local hardware
Supports a wide range of open and online LLMs
Real-time web search capabilities
Autonomous AI agents for task execution
File uploads within projects
Local OpenAI-compatible API server
Technical Specifications
API Available
SDK Available
MCP Compatible
Open Source
NOASSERTION
Team Features
SSO/Enterprise
Webhook Support
Has Demo
Deployment:
HYBRID
Pros
- +Ensures 100% data privacy by running locally
- +Supports a wide array of open-source and proprietary LLMs
- +Offers a user-friendly interface for local LLM management
- +Provides real-time web search capabilities
- +Open-source with an active community and Apache 2.0 license
- +No API bills for local model usage
Limitations
- -Performance depends on local hardware capabilities
- -Requires manual model downloads and management
- -Memory/context management is still under development
- -No cloud-hosted option for easy multi-device access
- -Limited out-of-the-box enterprise integrations
Powered By
Base Models
Jan-Code-4BJan-v3-4BJan-v2-VLJan-v1Jan Nano 128kJan Nano 32kLucyLlama 3.3GemmaQwenMistral LargeDeepSeek V3
Uses Models
Jan-Code-4BJan-v3-4BJan-v2-VLJan-v1
Decision Intelligence
Best For
Running large language models locally for privacy
Developing and testing AI agents on personal hardware
Conducting deep research with local AI models
Chatting with AI without cloud dependency
Users seeking full ownership over their AI stack
Not Ideal For
Users who prefer fully managed cloud AI services
Teams requiring centralized AI model deployment and management
Users with limited local computing resources
Those needing complex, out-of-the-box enterprise integrations
Frequently Asked Questions
Your Actions
Dimension Scores
Ease of Use6/10
Output Quality7/10
Value for Money9/10
Customization8/10
Support7/10
Integration10/10
Task Scores
Conversation Quality
7
Knowledge Accuracy
7
Response Speed
7
File Handling
7
Safety Controls
7
Context Retention
6
Reasoning Ability
6
Personality Customization
6
Trust Score
45/100
Limited Data
Based on 5 verified signals
Trust Signals
Verified CompanyMenlo Research
User Base1M-10M
FundingUnfunded
Team Size1-10
Data ResidencyData is stored locally on the user's device, ensuring privacy and local processing. If analytics tracking is explicitly consented to, analytics data is processed within the European Union by PostHog EU.
Switching & Migration
Migration Difficulty
Easy to Switch
Data portable as:
JSON
MARKDOWN
Community Forum + Docs
Quick Stats
CategoryChatbots
PlatformsDESKTOP, CLI, WEB, API
Integrations30+
Views1
LaunchedJan 2023
Setup Timein minutes
AddedMar 2026