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Hermes Jev Skills

Hermes-jev-skills is a GitHub project focused on enhancing Hermes agents with Jev-powered model routing, memory management, and skill selection. It supports integration with Claude Code and Codex, enabling advanced computer and browser use.

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Hermes-jev-skills is a public GitHub repository designed to augment Hermes agents with advanced capabilities. The project leverages Jev-powered model routing to efficiently manage memory and compaction, ensuring optimal performance of the agents. Additionally, it facilitates skill selection, allowing agents to perform tasks more effectively. The repository also supports integration with Claude Code and Codex, expanding the range of functionalities available to Hermes agents.

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The primary focus of hermes-jev-skills is to enhance the operational capabilities of Hermes agents, making them more versatile in handling complex tasks. By incorporating Jev-powered technologies, the project aims to streamline processes such as memory management and skill selection, which are crucial for the efficient functioning of AI agents.

This repository is particularly beneficial for developers and researchers working on AI agent development, as it provides a robust framework for enhancing agent capabilities. The integration with Claude Code and Codex further broadens the scope of applications, allowing for more sophisticated interactions with computers and browsers.

Overall, hermes-jev-skills represents a significant advancement in the field of AI agent development, offering a comprehensive solution for improving agent performance and functionality.

  • CategoryAI Agent Builders
  • Pricing ModelOpen source
  • DeploymentCloud
  • PlatformsWeb

  • Jev-powered model routing

  • Memory management

  • Skill selection

  • Integration with Claude Code

  • Integration with Codex

  • Computer use capabilities

  • Browser use capabilities

  • Compaction techniques

  1. Clone: Download the repository from GitHub

  2. Install dependencies: Set up required libraries and tools

  3. Configure: Adjust settings for specific use cases

  4. Execute: Run the application to test functionalities

  5. Optimize: Fine-tune parameters for improved performance

  • AI Agent Enhancement
  • Memory Management
  • Skill Selection
  • Integration with Claude Code
  • Integration with Codex

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