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Updated on December 5, 2025

About Robility Flow

Estimated reading: 3 minutes

Robility Flow enables developers to quickly prototype and build AI applications through a user-friendly visual interface, complete with built-in support for advanced capabilities such as agents and the Model Context Protocol (MCP).

Whether you’re an experienced AI practitioner or just getting started, Robility Flow equips you with the necessary tools to bring your AI ideas to life, without being tied to specific large language models (LLMs) or vector databases.

What is Robility Flow?

Robility Flow is a flexible, Python-based framework for creating AI-powered applications. It provides robust support for features like AI agents and MCP while maintaining full flexibility in your choice of LLMs or storage solutions.

The integrated visual editor makes it easy to design, test, and iterate on application workflows, helping developers transform ideas into working solutions efficiently.

Application Development and Prototyping

Robility Flow is ideal for building a wide range of AI applications, including:

a. Chatbots

b. Document analysis tools

c. Content generation systems

d. Agent-based solutions

Build Flows in Minutes

At the core of Robility Flow is the concept of flows, modular representations of application logic built using configurable component nodes.

Using the drag-and-drop visual editor, you can create complete workflows by connecting components, each representing a specific step in the process. For instance, you can build a chatbot for an e-commerce site that integrates an LLM with a product database, allowing customers to ask product-related questions and receive intelligent responses.

Real-Time Flow Testing

Robility Playground allows you to test flows interactively without building the full application stack. You can validate flow logic and receive real-time feedback during development. You can also execute individual components independently to isolate and test dependencies. 

Run and serve flows

You can use your flows as prototypes for more formal application development, or you can use the Robility flow API to embed your flows into your application code.

For more extensive development, you can build Robility flow as a dependency or deploy a Robility flow server to serve flows over the public internet.

For more information, see the following: Trigger flows with the Robility flow API

Flexible Configuration and Integration

Robility flow includes a wide range of components designed to integrate with various AI services and tools.

a. General components: input, output, data stores
b. Specialized components: agents, language models, embedding providers

Each component supports parameter customization, either fixed or dynamic. You can also apply runtime tweaks to override default settings.

Built-In Agent and MCP Support

Robility flow enables advanced agentic workflows and supports the following features:

1. Create and manage Robility flow Agents
2. Use flows and components as tools within agents
3. Operate Robility flow as an MCP server
4. Connect to external MCPs as a client

Extending Custom Components

Beyond the built-in components, Robility flow allows for full extensibility.
You can:

1. Use community-built custom components
2. Develop your own components for internal or shared use.

For more information, see the following:

a. Create custom Python components

Next - Robility Flow Flows
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