AgentSwarms

AgentSwarms is an interactive and hands-on learning platform dedicated to the study and creation of Agentic AI. It guides learners to understand and construct AI agents from scratch through a browser-based environment, which doesn't require any setup. The platform provides an in-depth curriculum with various learning tracks and lessons, allowing users to make AI agents, connect them in a swarm, and oversee their functionality through an observability dashboard.

AgentSwarms facilitates AI learning by providing a practical and interactive setup for users to construct AI agents from the ground up. This is done via a guided curriculum that combines theoretical concepts with practical demonstrations. It's a unique approach to learning that doesn't just rely on theory; learners get to implement the concepts they learn and observe the outcome in a monitored environment. As learners develop skill, they are guided to develop their agents, orchestrate them into a swarm, and oversee their activities through the observability dashboard.

Key features of AgentSwarms include: guided curriculum with multiple learning tracks; interactive lessons; system prompts and tool calling; ability to create multi-agent swarms; a real-time, browser-based testing environment; real-world case studies; performance tracking via the observability dashboard; provision of an environment for independent exploration; connectivity with APIs, MCP Servers, and webhooks; and simulation of workflows. It also saves users from complex setup processes as there's no need for installations or API keys to get started.

AgentSwarms is highly interactive. It allows learners to transition from reading about an AI concept to practically implementing it via live agents. Each lesson on the platform is interactive, merging theoretical knowledge with practical demonstrations. Learners can actually build AI agents, tweak system prompts, tools, and function calling, and observe real-time performance through a dashboard.

Several types of lessons are available on AgentSwarms. These include lessons on prompts and system messages, tools and function calling, and multi-agent swarms. Based on the curriculum, learners progress from understanding the basics of an agent to shipping a multi-agent swarm.