Build
AI Agent Builder
Build AI agents in minutes, not months
Start with production-ready agents, or design your own with a visual builder — no code required.
Everything you need to build AI agents
Powerful capabilities that make building and deploying agents simple.
Visual Agent Builder
Design agent workflows visually with drag-and-drop tools. No code required to create sophisticated agents.
Persistent Memory
Agents remember context across sessions — not just within a single chat. Perfect for long-running workflows.
Multi-Agent Orchestration
Native agent-to-agent communication lets you build complex workflows with specialized agents working together.
10+ Tool Integrations
Connect agents to Slack, Google Workspace, databases, APIs, and more — without writing integration code.
Knowledge Base
Upload documents, connect data sources, and give agents instant access to your organization's knowledge.
Deploy Anywhere
Export agents as REST APIs, SDKs, or embed directly in your applications. Your infrastructure, your choice.
AI agent builder guide
Build agents that can do more than chat
An AI agent builder gives your team a practical way to turn a goal into a working agent. Define what the agent should do, connect the tools and knowledge it needs, and add guardrails before you put it in front of users. RooAGI brings those steps together in one visual workspace.
Describe the goal
Start from a use case such as support triage, research, or internal knowledge work.
Connect tools and data
Give the agent access to APIs, MCP tools, documents, databases, and persistent memory.
Test and deploy
Inspect each run, refine the workflow, and deploy through an API, SDK, or embedded experience.
Frequently asked questions
What is an AI agent builder?
An AI agent builder is a visual or no-code platform for creating AI agents that can reason over a goal, use tools, access knowledge, and complete multi-step work. RooAGI Agent Builder lets teams design those agents without building the orchestration layer from scratch.
How does RooAGI Agent Builder work?
Start with a pre-built agent or create a custom workflow, then connect instructions, tools, data sources, and memory. Test the flow, observe each run, and deploy the agent as an API, SDK, or embedded experience.
Do I need to know how to code?
No. RooAGI Agent Builder is designed as a no-code visual builder. Developers can also connect APIs, MCP tools, and custom infrastructure when they need more control.
What is the difference between an AI agent and a chatbot?
A chatbot primarily responds with text. An AI agent can pursue a goal across multiple steps, choose and call tools, use business knowledge, and return the result of completed work while following the rules you configure.
Under the hood
Powered by AgentFlow
Agent Builder runs on AgentFlow, RooAGI's execution runtime for graphs of agent nodes, tools, and edges — built for agent work that runs longer than a single prompt.
Fault-tolerant execution
Run state persists, so long-running agent work survives failures instead of starting over.
Built-in working memory
Agent context and intermediate results are held in memory across steps in a flow.
Tool-native orchestration
Native support for MCP tools, so agents call tools without custom glue code.
Observable execution
Every run streams events, so you can see what an agent is doing while it runs — not just the result.
Let's talk about your AI use case
Tell us how your team manages AI agents today, what company knowledge they need to use, and where the current process breaks down. We'll point you to the right place to start.
Free Architecture Review
We'll look at your current agent setup and flag where memory, tooling, or serving is the bottleneck
Custom Deployment Guidance
Tailored recommendations for your use case, team size, and hardware
Enterprise Support Options
24/7 support, priority updates, and dedicated engineering resources
Built for teams putting AI to work
Use your company's knowledge with AI while keeping control of sensitive data and deployment.