AgentSwarms
An interactive playground and curriculum for learning Agentic AI hands-on, providing a zero-setup environment to build and run AI agents and multi-agent swarms.
At a Glance
- AI Developers
- Software Engineers
- Computer Science Students
- Enterprise Innovation Teams
AI Tools by AgentSwarms
(1)AgentSwarms
Agentic AI Learning Playground
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A hands-on learning platform with 5 tracks and 40+ lessons covering foundations, RAG, tools, guardrails, and multi-agent swarms.
A browser-based environment for building, running, and debugging AI agents with no local installation required.
A repository of pre-built, modular skills and a tool to generate custom skills for agents using natural language.
Market Position
Differentiates through accessibility and educational focus, offering a fully interactive, browser-based alternative to local development frameworks like LangChain or CrewAI.
Leadership
Founders
Rohan Ghosh
Senior Pre-Sales Cloud Engineer at Oracle; former Cloud Architect at AWS and Cisco. Expert in AI systems, multi-agent architectures, and cloud infrastructure.
Executive Team
Rohan Ghosh
Founder
Senior Pre-Sales Cloud Engineer at Oracle
Founding Story
Founded by Rohan Ghosh to address the friction in learning AI agent development. Ghosh built the platform as a response to the complexity of local environments and the lack of interactive educational tools, aiming to provide a 'Read -> Click Run -> See result' experience.
Business Model
Revenue Model
Freemium: Free for individual learners; monetization via future 'Teams' tier with enterprise-grade management features.
Pricing Tiers
Full curriculum access, free AgentSwarms AI gateway with up to 50 requests/day, no credit card required.
Everything in Learner plus Bring Your Own Key (BYOK) support for OpenAI, Anthropic, etc., with unlimited requests and budget caps.
Shared workspaces, SSO, role-based access, and centralized billing for organizations.
Target Markets
- AI Developers
- Software Engineers
- Computer Science Students
- Enterprise Innovation Teams
- Learning Agentic AI development
- Prototyping multi-agent workflows
- Evaluating LLM models in agentic contexts
- Educational onboarding for engineering teams