TIBCO Flogo®

Flogo-border.pngTIBCO Flogo® (formerly known as TIBCO Flogo® Enterprise) enables AI orchestration and intelligent automation through a visual flow designer integrated into Visual Studio Code. Built on a high-performance Go (Golang) engine, it delivers superior runtime efficiency, an ultra-light memory footprint, fast startup, and low-latency processing across edge, cloud, serverless, and on-premises environments. With its AI-ready architecture and powerful set of connectors, Flogo® transforms enterprise data into intelligent, event-driven, AI-ready workflows. To understand all the capabilities, see Build Event-driven Apps with an Ultralight Framework.

 

Read the documentation

 

What's new in version 2.26.2 (March 2026)

  • Support for Encrypted SSL Fields: To improve security, SSL client and server keys PEM-encoded files get encrypted when they are uploaded in REST triggers and Invoke REST activities. For more information, see REST Trigger - ReceiveHTTPMessage.

  • Newly Supported Connectors: TIBCO Flogo® Connector for Agentic AI - Tech Preview, TIBCO Flogo® Connector for Mail, and TIBCO Flogo® Connector for TIBCO FTL® are the newly supported connectors. For more information, see Supported Flogo Connectors.

For complete release details, see TIBCO Flogo® 2.26.2 Release Notes.

When working with TIBCO Flogo®, you may find the following videos useful:

Introducing TIBCO FLOGO Model Context Protocol (MCP) Connector

Installing TIBCO Flogo Extension for VS Code and Creating first Flogo App

Creation of Unit Testing & Play Test Case in Flogo

Create your first REST API

Flogo Quick Start 2.21.0

Deploy to AWS Lambda

Subflows

Build App Binary

Adding Flogo Extensions via Github URL

Application metrics

Turning your Flogo app into a
GraphQL Server implementation

App configuration with environment variables

CI/CD + Devops demo

When creating Flogo apps, you can import and customize any of the predefined samples. These samples demonstrate how to develop, test, and deploy a Flogo app using various capabilities. In the Flogo GitHub repository for samples, each sample is organized by category and contains a Readme file. Perform the instructions in the Readme file to import the sample to your workspace and use it. The following samples are currently available:

API Development

Includes REST, graphQL, and gRPC samples

Model Context Protocol (MCP)

Includes sample to integrate your data (customers, products, sales) with AI Agents using TIBCO Flogo® MCP Connector (Developer Preview) for natural language querying.

Connectors

Includes Flogo connector samples for DB Connectors, Messaging, and more

Unit Testing

Includes samples to create unit tests, assertions, and mocking for activities

Serverless

Includes sample for deploying a Flogo app as an Azure function

Custom App Image

Includes sample for deploying a Flogo app using custom app image

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