Master AI Agents through hands-on building

50+ lessons paired with 50+ runnable agents and swarms: ReAct, Reflexion, Graph RAG, text-to-SQL. Open one in your browser, fork it, and break it.

8
Tracks
50+
Lessons
50+
Agents & Swarms
81
Notebooks
21
Decks
25
Build Labs

Free during beta · Generous AI usage credit · No credit card

Why AgentSwarms

Most courses make you watch. We make you build and break.

This is a learning and POC platform, not a production runtime. The fastest way to actually understand agentic AI is to run it, wire it, and watch it fail.

A real builder, not a toy

The same visual Agent Builder and drag-and-drop swarm canvas you'd prototype with — guardrails, tools, memory, RAG, evals, and human approval included.

Router
Agent
Evaluate
Output

Learn by building, not watching

Every concept maps to a runnable agent or swarm you open in the browser. Read it, run it, fork it — no setup, no API keys to start.

We teach the failure modes

Diagnose and repair deliberately-broken swarms in Failure-Mode Labs — hallucinating RAG, runaway loops, dead branches. Almost nobody else teaches this.

New ways to learn

More than a curriculum

Pick the format that fits how you learn — animated explainers, guided builds, or hands-on debugging.

21 decks

Interactive Presentations

Animated, click-through decks on LLMs, prompting, RAG, agentic patterns, orchestration, security, observability, and inference internals.

Open presentations

Deck 04 · Agentic patterns

ReAct: reason, act, observe, repeat

Thought
Action
Observation
12 / 31
25 labs

Build-Along Labs

Step-by-step guides that build 10 standalone agents and 15 multi-agent swarms in the real builder — with diagrams, exact settings, and deep links.

Start building
A multi-agent swarm canvas building a Stock Investment CIO Swarm in AgentSwarms
4 labs

Failure-Mode Labs

Fix swarms that are deliberately broken. The platform verifies your repair — the fastest way to build real intuition for what goes wrong.

Diagnose a swarm
Researcher
Tool Loop

max_iterations exceeded — agent re-called the same tool 3 times

Your job: find the missing stop condition and repair the loop.

88 notebooks

Interactive Notebooks

Runnable TypeScript notebooks in your browser — foundations, advanced topics, and every major framework (LangChain, LlamaIndex, OpenAI Agents SDK, Vercel AI SDK, Google ADK), plus 10 reproduced failure-mode examples.

Open notebooks
Notebooks67
Foundations2
Agentic Evals8
LangChain5
LlamaIndex.ts7
OpenAI Agents6
Vercel AI SDK6
Failure Modes10

fnd-prompt-engineering.ipynb

1 · Anatomy of a chat request

{
"model": "gemini-3-flash",
"messages": [...]
}
▶ RunShift + Enter
Field engineering

Interactive Blogs

Long-form field-engineering posts with live widgets baked in — VRAM estimators, cost calculators, latency simulators. Drag the sliders and watch the answer change in real time.

Read the blog
3B8B14B32B70B405B
model size70B params
context length109K tokens
VRAM needed71.6 GB
24GB
48GB
80GB
141GB

How it works

Four steps from zero to swarm

No installs. No API keys to start. Open a demo, follow the guided prompts, then make it your own.

01

Try a Live Demo

Pick any template — Product Support, Research Assistant, Code Reviewer — and a working agent is provisioned in seconds.

02

Follow the Guided Tour

Each demo opens with a side-panel lesson. Suggested prompts walk you through RAG, guardrails, and approvals.

03

Fork & Experiment

Tweak the system prompt, swap models, wire up your own knowledge base. Break things — that's how you learn.

04

Build Your Own

Compose your own agents, chain them into a swarm, and watch traces light up in the observability dashboard.

Your first agent is one click away

Open a template, send the suggested prompt, watch the trace stream. The whole thing takes a minute.