A visual platform to learn how intelligent agents works
Design, build and test intelligent agents with visual node diagrams.
Create complex agent workflows in minutes — our platform combines the flexibility of node-based editors with the power of AI multi-agent systems. Experiment, connect and automate processes visually.
- TypeScript based – Built entirely in typescript for a reduced learning curve.
- Free and open source – Participate in the community, suggest improvements, and customize the platform to your needs.
- No code, just flow – Create agents visually by connecting nodes, no coding required.
Create smart flows, without writing code
Design agents and automate processes in minutes, bringing artificial intelligence to your workflows code-free and in real time—forget complex logic.
Easy to Use
Build automations in minutes, with no prior experience or technical skills required. Lets you create, modify, and test intelligent workflows quickly and effortlessly.
AI Multi-Agents
Coordinate multiple intelligent agents within a single workflow, enabling complex automation and true collaboration between specialized AI components.
Swarm Architecture
Swarm architecture enables agents to collaborate, adapt, and solve problems collectively—mirroring the intelligence of real-world swarms for robust, decentralized automation.
Design collaborative AI agents that work together seamlessly
Build intelligent, collaborative systems powered by swarm architecture — our platform enables the creation and coordination of agents using intuitive visual flows and customizable tools.
ContributeModular and extensible
Add new tools, models, or logic blocks easily — each agent is fully customizable and reusable across flows.
Built for collaboration
Agents communicate and transfer context intelligently, allowing seamless collaboration and dynamic task distribution.
Type-safe and developer-friendly
Develop with confidence using TypeScript, validation schemas, and intuitive SDKs for advanced control.
Smart context switching
Built-in transfer conditions allow agents to take over tasks based on specific triggers.