AIAgents

Stop Chatting. Start Automating: Build an AI Agent in 5 Steps to Save 10+ Hours a Week

In this tutorial, we walk you through building an advanced AI Agent that not only chats but also remembers. We start from scratch and demonstrate how to combine a lightweight LLM, FAISS vector search, and a summarization mechanism to create both short-term and long-term memory. By working together with embeddings and auto-distilled facts, we can craft an agent that adapts to our instructions, recalls important details in future conversations, and intelligently compresses context, ensuring the interaction remains smooth and efficient.

Meta is preparing to take a massive leap forward in the world of artificial intelligence with the upcoming launch of Llama 4, the latest in its line of open-source large language models. Expected to arrive later in 2025, Llama 4 is being positioned as a transformative force, potentially changing how businesses and developers interact with AI altogether. And with agentic AI — a system that can autonomously perform multi-step tasks — on the horizon, Llama 4 could unlock a new era of intelligent automation.