OpenDAN - AI Local Apps Tool

Overview

OpenDAN is an open-source Personal AI OS that consolidates multiple AI modules into one integrated platform for personal use. It focuses on rapid deployment (Docker-ready) and flexible model selection, enabling users to switch between cloud LLMs and local open-source models such as LLaMa. The project provides several pre-built AI agents — for example, a personal assistant, an information assistant, and a private English teacher — to help manage tasks, communications, and personal data workflows. Designed for users who want a single, extensible environment for personal AI workflows, OpenDAN emphasizes local model support and modularity. According to the GitHub repository (fiatrete/OpenDAN-Personal-AI-OS), the project has active community interest with 1,977 stars and 202 forks, is distributed under the MIT license, and receives updates from a team of contributors. Because it supports containerized deployment, OpenDAN is suitable for running on personal servers, laptops, or cloud instances while enabling experiments with different LLM backends and agent behaviors.

GitHub Statistics

• Stars: 1,977
• Forks: 202
• Contributors: 15
• License: MIT
• Primary Language: Python
• Last Updated: 2024-08-19T19:20:56Z
• Latest Release: 0.5.1

Repository metrics indicate moderate community interest and maintenance: 1,977 stars, 202 forks, and 15 contributors. The project is licensed under MIT, and the latest recorded commit was on 2024-08-19T19:20:56Z. These signals suggest active development and a small but engaged contributor base; users should check recent commits and open issues for current stability and upgrade notes before production use. According to the repo README and commit history, Docker-based deployment and local LLM switching are core focal points.

Installation

Install via docker:

git clone https://github.com/fiatrete/OpenDAN-Personal-AI-OS.git

cd OpenDAN-Personal-AI-OS

docker compose up -d

Key Features

• Docker-ready deployment for quick setup and reproducible environments
• Switch between cloud LLMs and local open-source models like LLaMa
• Built-in personal assistant agent for task and schedule management
• Information assistant agent for search, summarization, and research help
• Private English teacher agent for language practice and feedback

Community

OpenDAN has moderate open-source community engagement: 1,977 stars, 202 forks, and 15 contributors on GitHub. The project uses the MIT license and received its latest commit on 2024-08-19. Users report interest in local LLM support and Docker deployment; for the latest issues, feature requests, and contribution guidelines, refer to the repository’s issue tracker and README on GitHub.

Key Information

• Category: Local Apps
• Type: AI Local Apps Tool