AgentSwarms teaches agentic AI through browser-based lessons, runnable agents, notebooks, build labs, and multi-agent swarm experiments.
What it does
AgentSwarms is a browser-based learning and prototyping platform for agentic AI. Each concept is paired with something runnable: learners can open a template, follow guided prompts, inspect the execution trace, fork the project, and change its prompts, models, tools, or knowledge base. The visual Agent Builder and drag-and-drop swarm canvas support experiments without local installation or API keys to get started.
Its curriculum covers prompt design, tool and function calling, RAG, Graph RAG, memory, guardrails, text-to-SQL, multi-agent orchestration, observability, evaluation, scaling, and production concerns. Templates include support bots, research-to-writing swarms, code reviewers, SQL analysts, and other industry workflows. The platform also offers voice-agent playgrounds, embeddable agent and swarm widgets, interactive TypeScript notebooks, visual presentations, build-along labs, and failure-mode labs that ask learners to diagnose broken loops or other agent behaviors.
AgentSwarms is designed for people learning how agents work, engineers transferring patterns across frameworks, and builders creating proofs of concept. It explicitly serves as a learning and POC environment rather than a production deployment runtime, making it useful for developing transferable mental models before moving an agent system to a production stack.