A curated collection of AI agent studies, research reports, consulting resources, and market analyses focused on AI agents and their applications in FinTech, concluding with responsible AI practices.

The repository is organized into the following directories:

• Agents: Implementations and prototypes of cognitive agents.
• Consulting: Resources and materials related to AI consulting services.
• FinTech: Projects and tools tailored for financial technology applications.
• Research: Academic papers, experiments, and research findings in AI.
• Governance: Guidelines and tools promoting ethical AI development.

To explore the projects within this repository:

1. Clone the Repository:

   git clone https://github.com/jsemrau/Agent-Repository.git

2. Navigate to a Project Directory:

   cd Agent-Repository/Agents

3. Follow Project-Specific Instructions: Each project may have its own setup and usage guidelines. Refer to the README within the respective directory.

To get started with a project, you don"t need to install dependencies. Unless you don't have a PDF reader on your machine.

Contributions are welcome! If you have suggestions, bug fixes, or improvements, please follow these steps:

1. Fork the Repository: Create a fork of this repository.
2. Create a New Branch: Create a branch for your feature or fix:

   git checkout -b feature-branch

3. Make Changes: Make your changes or improvements.
4. Commit Your Changes:

   git commit -m "Description of changes"

5. Push Your Changes:

   git push origin feature-branch

6. Create a Pull Request: Open a pull request to the main repository with a description of your changes.

This repository is licensed under the MIT License. See the LICENSE file for details.

This repository is maintained by:

• Jan Daniel Semrau

For more information and updates, follow Jan Daniel Semrau on LinkedIn.

Or read my work on AI Agents on Encyclopedia Autonomica.

If AI agents have started raising questions for you from a risk or operational safety standpoint, I’m offering 1:1 sessions to dive into exactly that. AI Agent Safety & Operational Risk Management .