AgentSwarms
Overview
- Build production-ready AI agents from scratch without any software installation or API keys, using the browser-based playground
- Create multi-agent swarms that mimic real-world researcher-writer-reviewer workflows through guided lessons with explicit handoffs
- Track agent performance in real-time with the observability dashboard, seeing how system prompt changes affect response times and completion rates
- Connect agents to external APIs, MCP servers, and webhooks to fetch data and send emails, extending their capabilities beyond the platform
- Experiment freely by modifying system prompts and swapping models, gaining practical understanding through independent exploration
- Master tool calling and function calling concepts by implementing them immediately with live agents after each theoretical lesson
- Access over 40 real-world case studies that demonstrate Agentic AI applications, strengthening practical knowledge through proven examples
- Build complete pipelines with RAG, guardrails, and approvals using provided templates, moving from basics to shipping a multi-agent swarm
Pros & 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
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
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❓ Frequently Asked Questions
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
Pricing
Pricing model
Free
Paid options from
Free