Run agents. Break them. See what happens. AgentSwarms is a free browser playground that teaches agentic AI through hands-on experimentation. No setup, no credit card. Five tracks, 40+ lessons, and 30 live agents take you from basic system prompts to multi-agent swarms.
You start with prompts. Same model, different framing. Teacher, lawyer, sarcastic pirate. It drives home how much system messages matter. From there the curriculum moves through RAG and knowledge bases, tool calling with OpenAI schemas and MCP support, guardrails with human-in-the-loop for risky actions, multi-agent patterns, and observability with eval suites. Each concept comes with a live agent you can run and modify.
You can fork any template and swap between OpenAI, Gemini, Grok, and Claude. No installs. Learn Mode gives you a zero-config sandbox to experiment. Build Mode lets you bring your own API keys and compose custom swarms. There's also a cheat sheet defining terms like swarm, eval, guardrail, and HITL in plain language. Honestly useful when the agent ecosystem keeps churning out new jargon.
Model-agnostic, hands-on training like this fills a real gap. Most agent tutorials assume you know the architecture and just need boilerplate. AgentSwarms starts from 'what's an agent?' and works up to multi-agent pipelines with traces and cost dashboards. For developers still figuring out where agents fit in production, that progression matters more than another framework launch.