| --- |
| license: mit |
| tags: |
| - desktop-application |
| - ai-tools |
| - dataset-management |
| - lora-training |
| - windows |
| --- |
| |
| # ADAM — AI Development and Automation Manager |
|
|
| ADAM is a local Windows desktop hub for organizing AI image-development workflows. It helps you prepare and review datasets, connect your own training tools, plan runs with explicit approval, monitor jobs, and keep a history of your own assets. |
|
|
| ## What is included |
|
|
| - ADAM source code and the built-in tool registry. |
| - A clean, empty external-tool registry. |
| - No model weights, LoRAs, checkpoints, datasets, generated images, job history, personal paths, API keys, or local settings. |
|
|
| ## Requirements |
|
|
| - Windows 10/11 |
| - Python 3.10 or later |
| - Optional: NVIDIA GPU for compatible training workflows |
| - Optional: Ollama for local chat assistance |
|
|
| ## Install and run |
|
|
| ```powershell |
| git clone https://huggingface.co/SyntheticMDProductions/AI_Development_Automation_Manager |
| cd AI_Development_Automation_Manager |
| python -m pip install -r requirements.txt |
| python main.py |
| ``` |
|
|
| On first launch, ADAM creates your personal `config/settings.json` automatically. In **Settings → Tool folders**, connect the local projects, datasets, and models that you own and want ADAM to manage. ADAM does not bundle or download model weights for you. |
|
|
| ## Notes for users |
|
|
| - Training and collection plans require approval before ADAM starts them. |
| - You are responsible for the licenses, permissions, and rights for any datasets, models, and third-party tools you connect. |
| - This repository is a downloadable desktop application. It is not a hosted Hugging Face Space or an inference model. |
|
|
| ## Development |
|
|
| ```powershell |
| python -m pytest -q |
| ``` |
|
|
| ## License |
|
|
| ADAM is released under the [MIT License](LICENSE). |
|
|
