Abstract
Soul Llink is an open-source AI & Machine Learning project. Dynamic emotion system framework for Hermes Agent - real-time emotion detection,Long-term memory, context management, and recall systems, state management, and persona expression. The reusable runtime packages are host-independent. This repository also carries optional reference adapters and versioned host patchsets under adapters/. It is built using Python. The complete source code is publicly available on GitHub under the MIT License, making it a useful reference for students building an AI & Machine Learning mini project or final-year project.
1. Introduction
The reusable runtime packages are host-independent. This repository also carries optional reference adapters and versioned host patchsets under adapters/. They are explicit integration surfaces, not hidden dependencies of the core. Host adaptation must detect capabilities, create a backup, verify the installed result, and support rollback.
SoulLink is an open-source runtime for agents that should feel like the same person over time, not a fresh prompt on every turn. It combines a layered persona engine, continuous emotional state, governed long-term memory, exact context evidence, and reversible host integration.
SoulLink Public 2.3 is not a version-label-only refresh. It synchronizes the public runtime with the production architecture and closes the paths between durable memory, governed retrieval, prompt influence, observability, host updates, and rollback.
2. Objective
Dynamic emotion system framework for Hermes Agent - real-time emotion detection,Long-term memory, context management, and recall systems, state management, and persona expression
This project demonstrates how Python can be applied to a real-world AI & Machine Learning problem.
4. Technology Stack
5. System Requirements
General requirements for this technology stack — check the README for exact versions.
- Python 3.8 or later
- pip / virtualenv for dependencies
- VS Code, PyCharm or Jupyter Notebook
- Git (to clone the repository)
6. Installation & Setup
git clone https://github.com/miyamoriaoi1997-del/Soul-Llink.git
cd Soul-Llinkpython -m venv .venv
# Linux/macOS
. .venv/bin/activate
# Windows PowerShell
# .venv\Scripts\Activate.ps1
python -m pip install soullink_public-2.3.3-py3-none-any.whl
soullink init
soullink doctor
soullink webuiFull setup instructions are in the project README.
7. Future Enhancements
Suggested extensions you can add to make this your own project.
- Deploy the model as a web app with Streamlit, Flask or FastAPI
- Compare against an additional model and report the metric difference
- Add explainability (SHAP / Grad-CAM)
8. Viva / Review Questions
Common questions examiners ask for projects in this domain.
- What dataset does the project use and how was it pre-processed?
- Which algorithm / model architecture is used and why was it chosen over alternatives?
- How are training and testing data split, and how is overfitting avoided?
- Which evaluation metrics (accuracy, precision, recall, F1) are reported and what do they mean here?
- How would you deploy this model for real users?
9. Source Code & License
This project is developed by miyamoriaoi1997-del and published on GitHub under the MIT License. Please follow the license terms and credit the original author when you use or modify this code.
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