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AgentK: The Self-Evolving AI That Builds Its Own Mind 🤯

What is AgentK? 🤔

Imagine an AI that doesn’t just follow your instructions, but learns and grows with each task. That’s AgentK! It’s like a team of specialized AI agents working together, each with its own role:

  • Hermes: The Orchestrator 🧠 – Understands your goals, breaks them down into smaller tasks, and makes sure every agent is on the same page.
  • AgentSmith: The Architect 🧰 – Creates and manages other agents, giving them the right tools and skills for the job.
  • ToolMaker: The Handyman 🛠️ – Develops and updates the tools that agents use to interact with the world.
  • WebResearcher: The Detective 🕵️‍♀️ – Scours the internet for information to help agents make smart decisions.

The best part? AgentK is built on LangGraph and LangChain, so it’s constantly learning and evolving by creating new agents and tools. It’s like having a team of AI experts that’s always getting smarter!

Why is AgentK a Game-Changer? 🚀

  • Self-Evolving: AgentK learns from experience, becoming more capable over time. 💪
  • Modular Design: Each agent has a specific role, making the system efficient and adaptable. 🧩
  • Easy Integration: Runs in a Docker container, so you can set it up quickly and easily. 📦
  • Endless Possibilities: From building apps to conducting research, AgentK can handle a wide range of tasks. ✨

How to Start Using AgentK? 💻

  1. Get the Prerequisites:
    • Install Python, Git, VS Code, and Docker.
    • Get your OpenAI API key (or use other models like LLaMa).
  2. Clone the Repository: Use Git to clone the AgentK repository from GitHub.
  3. Set Up Your Environment:
    • Rename the .env.template file to .env.
    • Open the .env file and paste in your OpenAI API key.
  4. Run AgentK:
    • Open your terminal or command prompt.
    • Navigate to the AgentK directory.
    • Run the appropriate command to start AgentK in a Docker container.

AgentK in Action: A Real-World Example 🌎

Let’s say you need to find a quote about the importance of learning. Just ask AgentK!

  1. You: “Find me a quote about the importance of learning.”
  2. AgentK: Gets to work, assigning tasks to different agents.
    • WebResearcher searches for relevant quotes online.
    • Hermes analyzes the results and selects the best one.
  3. AgentK: “The only person who is educated is the one who has learned how to learn …and change.” – Carl Rogers”

AgentK: The Future of AI 🔮

AgentK is still under development, but it offers a glimpse into the future of AI – autonomous systems that can learn, adapt, and solve complex problems. It’s a powerful tool for anyone who wants to explore the cutting-edge of AI.

Resources 🧰

  • AgentK Github Repository: https://github.com/mikekelly/AgentK – Access the AgentK code and documentation.
  • Python Downloads: https://www.python.org/downloads/ – Download the latest version of Python.
  • Git Downloads: https://git-scm.com/downloads – Download Git for your operating system.
  • VS Code Downloads: https://code.visualstudio.com/download – Download the free code editor Visual Studio Code.
  • Docker Downloads: https://docs.docker.com/get-docker/ – Download and install Docker for your system.
  • OpenAI API Key: https://platform.openai.com/api-keys – Get your API key to access OpenAI’s powerful language models.

Start Building the Future with AgentK! 🏗️

AgentK is more than just an AI tool; it’s a peek into the future of problem-solving. What will you build with it? 🤔

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