🔴 Build an Autonomous AI Agent with Javascript and LangGraph (tutorial for beginners)

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In this video, you’ll learn how to build an autonomous AI agent using JavaScript, LangGraph, and Genezio. We’ll integrate the Anthropic LLM (large language model) and give it the ability to generate and execute code in a safe cloud environment using Genezio. This unlocks powerful possibilities as the AI agent can write, run, and refine code on its own.

📚 Follow the guide: https://notjust.dev/blog/langgraph-ai-agent-genezio

📝 This video includes a lot of tools and technologies, providing an excellent opportunity to learn:
👉 How to build an AI agent that can generate and execute JavaScript code to solve user queries.
👉 How to use LangGraph to orchestrate AI workflows, implement the ReAct pattern, and manage agent decision-making.
👉 How to integrate Anthropic’s Claude model to power natural language understanding and tool usage.
👉 How to implement short-term and long-term memory in your AI agent to maintain conversation history.
👉 How to create a secure JavaScript code execution environment using a cloud function on Genezio.
👉 How to build an API with Node.js, Express, and Genezio to handle user input and execute AI-generated code.
👉 How to build a front-end UI with React to interact with the AI agent in a chat-like experience.
👉 How to deploy your entire AI agent stack with Genezio, including frontend, backend, and code execution functions.
👉 How to safely execute AI-generated code in a sandboxed environment to prevent security risks.
👉 How to optimize and extend AI agents by adding additional tools and improving their capabilities over time.
👉 How to deploy your AI agent to production, setting up cloud functions, managing execution environments, and monitoring performance.
.. and MORE!

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