AgentSwarms is an interactive playground for Agentic AI enthusiasts. Learn RAG, tool use, guardrails, and multi-agent swarms by running real demos — with guided lessons baked into every click.
Every lesson is interactive. You read a concept, then run a live agent that demonstrates it — prompts and all.
Learn how an agent's personality, role, and constraints are shaped by the system prompt. See the same model behave like a teacher, a lawyer, or a sarcastic pirate — just by changing words.
Watch a generic chatbot transform into a domain expert by grounding its answers in your documents. Real citations, real docs, no hallucinations.
Give your agent superpowers. Connect it to APIs, MCP servers, and webhooks so it can actually do things — fetch data, send emails, run SQL.
Production agents need brakes. Add input/output filters, PII detection, content safety, and human-in-the-loop approvals for risky actions.
One agent is a worker. A swarm is a team. Build researcher → writer → reviewer pipelines with explicit handoffs and shared memory.
If you can't trace it, you can't trust it. Inspect every token, tool call, and dollar spent — and learn how to evaluate agent quality systematically.
No installs. No API keys to start. Open a demo, follow the guided prompts, then make it your own.
Start with the Templates gallery. Click any template — Product Support, Research Assistant, Code Reviewer — and a fully working agent is provisioned for you in seconds.
Each demo opens in the Playground with a side-panel lesson. Suggested prompts walk you through RAG, guardrails, and approvals one checkpoint at a time.
Tweak the system prompt, swap models (Lovable AI, OpenAI, Gemini, Grok, Claude…), wire up your own knowledge base. Break things — that's how you learn.
Apply what you learned. Compose your own agents, chain them into a swarm, and watch your traces light up in the observability dashboard.
Every term you'll hear in agent papers, blog posts, and Twitter threads — explained in one line.