Learn to build AI agents with Langbase.
We just posted a course on the freeCodeCamp.org YouTube channel that will teach you how to create context-engineered agents that use memory and AI primitives to take action and deliver accurate, production-ready results using Langbase.
Langbase is a powerful serverless AI cloud for building and deploying AI agents. A great alternative to bloated frameworks, Langbase gives you simple AI primitives including Pipes, Memory (RAG), Workflows, and Tools, allowing you to easily build, deploy, and scale serverless AI agents.
Context-engineered agents are AI agents powered by LLMs and enhanced with tools and long-term memory (Agentic RAG). Instead of only responding to prompts, they can also:
Retrieve knowledge from documents and data.
Take real-world actions with tools.
Maintain workflows and context across conversations.
In this course, you’ll:
Create your first Agentic RAG system using Langbase Pipes and memory agents.
Deploy and scale serverless agents in Langbase Studio.
Vibe code AI agents using Command.new.
The course covers:
Explaining context engineering and the agentic RAG pipeline.
Building memory agents.
Using Langbase AI primitives including Workflow, Parser, Chunker, Embed, and Memory to build any type of AI agent.
Deploying and scaling serverless AI agents without frameworks.
Watch the full course on the freeCodeCamp.org YouTube channel (1-hour watch).