Free online AI agent workflow builder. Visually design multi-step AI agent workflows with node-based editing, conditional branching, and tool call configuration. Export JSON config instantly β 100% client-side.
β¨ Zero dependencies Β· Works offlineπ¦ Node Palette
π¨ Workflow Canvas
Click a node on the left to add it to your workflow
AI Agent Workflow Builder - What Can It Do?
The AI Agent Workflow Builder is a free online tool that lets you visually design multi-step AI agent workflows. Add nodes, configure parameters, connect steps, and export a standard JSON config β all without writing code.
Key Features
- Visual design: Add and arrange nodes on a canvas to build your flow
- Multiple node types: LLM, Tool, Condition, Loop, Input, Output, Code, and Memory
- Parameter configuration: Set model, prompt, tools, and settings per node
- Conditional branching: Branch based on LLM output or tool return values
- JSON export: Generate configs compatible with LangChain / AutoGen style flows
- Import / export: Save and reload your workflow config
How to Use
- Add nodes: Click an LLM, Tool, or other node in the palette
- Configure parameters: Click a node to set its model, prompt, and tools
- Connect nodes: Nodes connect automatically in order; fine-tune the sequence
- Set conditions: Configure the logic inside a condition node
- Export config: Click Export to generate a JSON config file
Use Cases
- Research agent: Search the web β verify β summarize β full quality check
- Data analysis: Fetch data β clean β analyze β visualize β report
- Content workflow: Pick a topic β outline β write β refine β publish
- Code assistant: Analyze requirements β generate code β test β deploy
Learn More
AI agents have evolved from simple single-LLM calls to multi-step workflows that chain multiple tools and protocols. Leading frameworks include LangChain (LCEL), AutoGen (multi-agent), and CrewAI (role-based). MCP (Model Context Protocol) now standardizes the tool interface, making agent workflows more portable and reusable.
FAQ
What is an AI agent workflow builder?
It is a visual tool for designing multi-step AI agent workflows. You add nodes such as LLM, tool, condition, loop, input and output, configure each node, and connect them to define how an AI agent should behave step by step.
Which node types are supported?
LLM, Tool, Condition (branching), Loop, Input, Output, Code, and Memory nodes. Each node can be configured with its own parameters such as model, prompt, tools, and conditions.
Can I use the exported configuration in other frameworks?
Yes. The exported JSON config can be adapted for frameworks such as LangChain, AutoGen, and CrewAI, or used as a custom agent system configuration file. It also follows the OpenAI function calling format.
Is my data uploaded to a server?
Never. The whole tool runs locally in your browser. Your workflow and settings never leave your device, and the page works even when you are offline.