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GitHub - karvidsson/kbots allows you to run a team of AI agents on your own hardware using the chat app you already use. It supports any model, local or frontier, and enables agents to remember, build tools, and train replacement models.

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GitHub - karvidsson/kbots is a project that enables users to run a team of AI agents on their own hardware. This tool integrates with the chat applications that users are already familiar with, providing a seamless experience. It supports any AI model, whether local or frontier, allowing flexibility in deployment. The agents are designed to remember past interactions, build their own tools, and even train the models that will eventually replace them. This capability ensures continuous improvement and adaptation to new challenges. The project is hosted on GitHub, making it accessible to developers who wish to contribute or customize the tool to fit their specific needs. While the repository does not specify pricing, it is implied that the tool is open-source, given its availability on GitHub. The primary audience for this tool includes developers and organizations looking to leverage AI agents for automation and task management. By using this tool, users can enhance productivity and streamline workflows by deploying intelligent agents that can learn and adapt over time. However, users should be aware that the effectiveness of the agents depends on the models used and the hardware capabilities available.

  • CategoryAI Agent Builders
  • Pricing ModelOpen source
  • DeploymentSelf-hosted
  • PlatformsWeb

  • Run AI agents on your own hardware

  • Integrate with existing chat apps

  • Supports any AI model, local or frontier

  • Agents remember past interactions

  • Builds its own tools

  • Trains replacement models

  • Open-source project on GitHub

  • Customizable by developers

  1. Clone: Download the repository from GitHub

  2. Install dependencies: Set up the required software

  3. Configure: Adjust settings to fit your needs

  4. Execute: Run the AI agents on your hardware

  5. Optimise: Improve performance and capabilities

  • AI agent deployment
  • Chat app integration
  • Tool building
  • Model training
  • Workflow automation

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