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May 11, 2026

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AgentSwarms

United Arab Emirates Agent building courses

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5,174

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Learn, Build and Run Agentic AI on your Browser!

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Overview

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AgentSwarms is a comprehensive, interactive learning platform dedicated to teaching users about Agentic AI. It offers a hands-on playground where individuals can learn to build AI agents in a real browser environment, eliminating the need for any software setup.

The platform provides a guided curriculum with in-depth lessons and real-world case studies, covering essential topics like system prompts, tool calling, and multi-agent swarms.

Users can learn via interactive methods, moving from reading about an AI concept to running live agents that demonstrate it. AgentSwarms also lets learners connect agents to APIs, MCP servers, and webhooks to extend their capabilities.

Unique to the platform is the focus on 'swarms', teaching users to construct pipelines with explicit handoffs, imitating a researcher, writer, or reviewer workflow.

Additionally, AgentSwarms encourages independent exploration by allowing learners to modify system prompts, swap models, and assemble their agents. The learning process is further enhanced with an observability dashboard that demonstrates the performance tracking of the built agents and swarms.

The platform is free for all learners.

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Initial release

May 11, 2026

Initial release of AgentSwarms.

Author

Rohan Ghosh

@rohan-ghosh-6a8dd

Versatile Multi-Cloud Solutions Architect with extensive expertise across AWS, OCI, GCP and Azure. I specialize in designing and implementing secure, scalable, and highly available cloud infrastructures and solutions that drive business transformation.

🇦🇪 United Arab Emirates

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Agent building courses AgentSwarms

United Arab Emirates Agent building courses

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Rohan Ghosh

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May 12, 2026

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@AgentSwarms

Building multi-agent AI systems shouldn’t require wrestling with messy Python boilerplate, cloud subscription or complex local setups. I built AgentSwarms (AgentSwarms.fyi) to solve this. It’s an interactive, in-browser visual sandbox for learning, building, testing, and orchestrating multi-agent AI workflows. Instead of relying on a single AI chatbot that easily hallucinates, AgentSwarms lets you drag and drop specialized AI agents—like data extractors, code reviewers, and SQL query nodes—to handle complex tasks reliably. Key features for builders: Visual Edge Tracing: Stop guessing why your AI failed. Click any connection line to see the exact JSON data passing between agents in real-time. In-Browser Execution: Powered by local DuckDB WASM. No backend setup required. Enterprise Templates: Test reverse-engineered Agenitic AI architectures for Cybersecurity, Finance, and E-commerce and 10+ industries right on the canvas. If you are tired of black-box AI debugging and want to master Agentic AI orchestration visually, come try the sandbox for free! Let me know what you think of the new execution history features. 🚀

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Pros and Cons

Pros

Interactive learning platform

Browser-based interface

Multiple learning tracks

Comprehensive curriculum

Real-world case studies

Integration with APIs

Integrates with MCP servers

Webhooks support

Real-time performance tracking

Observability dashboard

Free usage

No installations necessary

No need for API keys

Direct guided prompts

Templates for agent creation

Teaches multi-agent swarms

Allows for system tweaking

Supports independent exploration

Workflow simulation capability

Real-time testing environment

Teaches agent management

Interactive lessons

Emulates real workflows

One-to-one learning ratio

Live demos

Guided tours

No specific setup required

Teaches RAG, guardrails, approvals

Lessons on system prompts

Function calling lessons

40+ in-depth lessons

30+ runnable agents

Connect agents into swarm

8 learning tracks

Supports model swapping

Free forever for learners

Guided curriculum

Encourages system experimentation

No credit card required

View 34 more pros

Cons

Focuses heavily on 'swarms'

No offline usage

Limited advanced customization

Likely steep learning curve

No multi-language support

Minimal user support

No testing outside of platform

No collaboration features

View 3 more cons

Q&A

What is 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.

How does AgentSwarms assist in learning AI?

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.

What are the features of AgentSwarms?

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.

How interactive is the AgentSwarms platform?

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.

What are the types of lessons available on AgentSwarms?

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.

How does AgentSwarms facilitate learning interactively?

AgentSwarms facilitates interactive learning by following a hands-on approach. Each lesson in the curriculum allows learners to read a theoretical concept and then implement it with a live agent. It encourages learning by doing, letting users tweak system prompts, swap models, and assemble their agents on the platform. Users also have the flexibility to connect the agents to external resources like APIs, MCP servers, and webhooks.

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What tools and features can be accessed without an API key on AgentSwarms?

AgentSwarms allows users to access a diverse set of features without an API key. These include guided prompts, a variety of templates for creating agents, learning tracks, lessons, and real-time testing environment. Users also get a hands-on experience in setting RAG, guardrails, and approvals. All these features require no setups, installations, or API keys.

Is it necessary to install AgentSwarms to use it?

No, it is not necessary to install AgentSwarms to use it. The platform is browser-based and does not require any installation or setup to start constructing and understanding AI agents.

What learning techniques does AgentSwarms offer?

AgentSwarms offers several learning techniques. The platform emphasizes learning by doing, providing a real-time testing environment that fosters hands-on learning. It also offers guided tours, real-world case studies, system prompts, and tool calling among its learning methods. Additionally, the platform provides an observability dashboard for performance tracking and encourages independent exploration, allowing learners to experiment and modify system prompts.

How can a user create AI agents on AgentSwarms?

A user can create AI agents on AgentSwarms by utilizing the platform's guided prompts and a variety of templates. Frameworks for RAG, guardrails, and approvals are provided to help assist in the creation of the agents. Once users gain proficiency with the system, they have the ability to create their own AI agents, link them into a swarm, and monitor their functioning through the observability dashboard.

What functions can be monitored through AgentSwarms' observability dashboard?

Through the observability dashboard on AgentSwarms, users can monitor the performance of the agents and swarms they've created. While specific metrics are not listed, such a dashboard typically includes insights on factors like agent response times, completion rates, error rates, and user interactions, among other operational aspects of the created AI agents and swarms.

How does AgentSwarms cater to hands-on learning?

AgentSwarms caters to hands-on learning by providing an interactive platform where users can implement what they learn in real-time. From the creation of AI agents using provided templates to connecting them into swarms, users can gain practical knowledge. They can also experiment with system prompts and swap models, enabling a thorough exploration of Agentic AI in action.

What real-world case studies are available for learning on AgentSwarms?

AgentSwarms provides over 40 real-world case studies aimed at teaching different aspects of Agentic AI. These case studies serve as practical examples, strengthening the learner's understanding and application of the concepts. However, specific details of these case studies have not been stated.

How does AgentSwarms teach about multi-agent swarms?

AgentSwarms teaches about multi-agent swarms through practical lessons and interactive learning. Users get to build researcher, writer, reviewer pipelines with explicit handoffs, illustrating the functionality of a swarm. By understanding this concept, learners can apply it to create robust AI systems, with individual agents performing different roles in a system that imitates real-world workflow.

Can a user modify system prompts within AgentSwarms?

Yes, a user can modify system prompts within AgentSwarms. The platform permits learners to tweak the system prompts and swap models. This flexibility fosters exploration and a deeper understanding of how modifications change the functioning of AI agents.

How can AgentSwarms be used to simulate a workflow?

AgentSwarms can be used to simulate a workflow by creating multi-agent swarms. In this concept, one agent potentially operates as a worker, while a swarm can be made to operate as a team capable of handling complex tasks. The platform lets users build pipelines with explicit handoffs, imitating a familiar workflow such as a researcher to writer to reviewer sequence.

Does AgentSwarms allow independent exploration for learners?

Yes, AgentSwarms supports independent exploration. The platform allows users to experiment with learning by trying different things like tweaking system prompts, swapping models, and wiring up their own knowledge base. The license to break things and learn from it encourages independent exploration and delivers a practical understanding of Agentic AI.

How is performance tracking done on AgentSwarms?

Performance tracking on AgentSwarms is done using an observability dashboard. This platform feature allows for the monitoring of the agents and swarms made by the user in real-time. It sheds light on how changes made to the system prompts, model swapping, and other modifications affect the functioning of the agents, providing a practical understanding of Agentic AI.

Is AgentSwarms a free platform for all learners?

Yes, AgentSwarms is a free platform for all learners. It does not require a credit card to start learning. The goal is to provide access to information and practical experience with Agentic AI to as many learners as possible.

How can I connect my AI agents to APIs, MCP servers, and webhooks using AgentSwarms?

AgentSwarms provides an opportunity to extend the capabilities of the created AI agents through connection with APIs, MCP servers, and webhooks. The platform provides lessons on these techniques. With this knowledge, users can link their agents to external resources to fetch data, send emails, run SQL, and more.

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AgentSwarms

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