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Ülkücü Baba

Ülkücü Baba is a personal fork of the Hermes Agent, featuring an mg panel, USD cost ceiling, and approval gate. Built with AI agents like Claude Code, Codex, and Z.ai, it is an amateur project inviting feedback.

Description

Ülkücü Baba is a personal fork of the Hermes Agent, designed to provide users with an mg panel, a USD cost ceiling, and an approval gate. This project is an amateur endeavor that leverages AI agents such as Claude Code, Codex, and Z.ai. The primary aim of Ülkücü Baba is to offer a platform where users can experiment with AI-driven functionalities in a controlled environment. The inclusion of a USD cost ceiling ensures that users can manage their expenses effectively while exploring the capabilities of AI agents. The approval gate feature adds an extra layer of control, allowing users to set specific criteria for actions to be executed.

The project is hosted on GitHub, making it accessible to developers and AI enthusiasts who wish to contribute or provide feedback. Although it is an amateur project, it serves as a valuable resource for those interested in AI agent development and experimentation. The project does not specify any pricing model, as it is primarily a personal fork intended for learning and experimentation.

Ülkücü Baba is particularly relevant for developers and AI researchers who are looking to explore the integration of AI agents into personal projects. Its open-source nature allows for collaboration and community-driven improvements. However, users should be aware that as an amateur project, it may not have the robustness or support of more established AI tools. Despite this, it offers a unique opportunity to engage with AI technologies in a practical setting.

Ülkücü Baba's Core Features

  • Personal fork of Hermes Agent

  • Includes mg panel

  • USD cost ceiling

  • Approval gate

  • Built with Claude Code

  • Utilizes Codex

  • Incorporates Z.ai

  • Open-source on GitHub

Getting Started with Ülkücü Baba

  1. Developer: Clone the repository

  2. Install: Install necessary dependencies

  3. Configure: Set up the mg panel and cost ceiling

  4. Execute: Run the AI agents

  5. Optimize: Adjust settings for improved performance

Ülkücü Baba's Use Cases

  • AI Experimentation
  • Cost Management
  • Approval Processes
  • Open-source Collaboration
  • AI Agent Development

FAQ from Ülkücü Baba

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