AgentSwarms

AgentSwarms provides an in‑browser, hands‑on playground for learning to create AI agents that use large language models to plan, retrieve information, call tools, and execute actions such as querying databases or sending emails. The curriculum is organized into five learning tracks with more than forty lessons and over thirty runnable agent examples, covering fundamentals like prompts and system messages, retrieval‑augmented generation, function calling, guardrails, human‑in‑the‑loop control, and multi‑agent swarms.

Learners progress by reading a concept and then executing a live agent that demonstrates the idea, allowing immediate observation of how prompts shape behavior, how knowledge bases ground responses, and how tools extend capabilities. The platform supplies a free, zero‑setup mode for experimentation and a build mode where users can supply their own API keys to integrate external services.

The tool is aimed at anyone wanting practical experience with agentic AI—from beginners with no prior experience to developers exploring multi‑agent coordination—without requiring installations, tutorials, or a background in mathematics. Its distinctive feature is the interactive, browser‑based environment that combines guided lessons with executable agents, enabling users to prototype and test agent workflows directly.