OpenDAN-Personal-AI-OS
Open source Personal AI OS consolidating various AI modules for personal use
GraphCanon updated 1w · GitHub synced 1w
Decision brief
OpenDAN-Personal-AI-OS: An open-source platform in Python under MIT license that integrates multiple AI modules tailored for individual use.
Good fit when
- When seeking an open-source alternative for integrating various AI functionalities into a single personal operating system.
- If you prefer working on projects licensed under the MIT license, providing both permissive usage rights and flexibility.
Avoid when
- Avoid using OpenDAN-Personal-AI-OS if your project strictly requires proprietary tools or licenses that offer stronger patent protection over contributions.
- Not suitable when requiring specific AI modules not covered by this platform; you may need a solution with dedicated, specialized services.
- Pricing:
- freemium - The core software is free and open-source under the MIT license, but additional plugins or support might incur costs.
- Requirements:
- Min 2 GB RAM; Python environment must be set up for compatibility.; May require third-party libraries and dependencies that need to be installed separately.
Observed Jul 14, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Slowing (139d since push)
- As of 1w
- Provenance
- Not a fork · Personal account
- As of 1w
- Security (OSV)
- No lockfile
- As of 1mo
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install OpenDAN-Personal-AI-OSSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
An open-source platform that integrates multiple AI capabilities designed primarily for individual users
Capability facts
- Deploy
- Self-host
Source: dockerfile:Dockerfile · Aug 15, 2026
- Docker
- Dockerfile present
Source: dockerfile:Dockerfile · Aug 15, 2026
- Languages
- python
Source: github.language · Aug 15, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Aug 15, 2026)
Installing through the source code, this method may encounter some traditional Python dependence problems and requires you to have a certain ability to solve.But if ySource link
Tags
README
Installation
There are two ways to install the Internal Test Version of OpenDAN:
- Installation through docker, this is also the installation method we recommend now
- Installing through the source code, this method may encounter some traditional Python dependence problems and requires you to have a certain ability to solve.But if you want to do secondary development of OpenDAN, this method is necessary.
Preparation before installation
- Docker environment This article does not introduce how to install the docker, execute it under your console
docker -version
If you can see the docker version number (> 20.0), it means that you have installed Docker. If you don't know how to install docker, you can refer to here
- OpenAI API Token If there is no api token, you can apply for here
Applying for the API Token may have some thresholds for new players. You can find friends around you, and he can give you a temporary, or join our internal test experience group. We will also release some free experience API token from time to time.These token is limited to the maximum consumption and effective time
Install
After executing the following command, you can install the Docker Image of OpenDAN
docker pull paios/aios:latest
License
The current license is MIT, but it will transition to SourceDAO in the future.
For agents
This page has a .md twin and JSON over the API.