 | Hey Everyone, Over the last few months, I noticed a massive gap in how we learn about Agentic AI. There are a million theoretical blog posts and dense whitepapers on RAG, tool calling, and swarms, but almost nowhere to just sit down, run an agent, break it, and see how the prompt and tools interact under the hood. So, I built AgentSwarms.fyi It’s a free, interactive curriculum for Agentic AI. Instead of just reading, you run live agents alongside the lessons. What it covers:
The Tech/Setup: You don't need to install anything or provide API keys to start. The "Learn Mode" is completely free and sandboxed. If you want to mess around with your own models, there's a "Build Mode" where you can plug in your own keys (OpenAI, Anthropic, Gemini, local models, etc.). I’d love for this community to tear it apart. What agent patterns am I missing? Is the observability dashboard actually useful for debugging your traces? Let me know what you think. [link] [comments] |
Run, learn and test Agentic AI on your browser, for free and no setup!
Reddit r/artificial / 4/29/2026
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Key Points
- The article introduces AgentSwarms.fyi, a free interactive curriculum designed to help people learn and experiment with agentic AI directly in the browser rather than only reading theoretical material.
- It covers key agentic AI topics through hands-on lessons, including prompt engineering and system messages, RAG versus fine-tuning, and tool/function calling (including references to OpenAI schemas and MCP servers).
- The curriculum also teaches safety and deployment concepts such as guardrails and HITL (human-in-the-loop), plus multi-agent “swarms” orchestration patterns.
- Users can start immediately without installing software or providing API keys via a sandboxed “Learn Mode,” while a separate “Build Mode” lets advanced users plug in their own models and API keys.
- The author invites community feedback, particularly on missing agent patterns and whether the observability dashboard is genuinely useful for debugging traces.
