TIBCO Flogo®

Flogo-border.png TIBCO 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 2.26.3 (April 2026)

  • Activity Type in Flogo Metrics: You can now include the activity type as a label in TIBCO Flogo® metrics. This enhancement provides greater clarity and observability by allowing you to associate metrics, such as DB operation latency or REST invoke success rates, directly with their corresponding activity types. For more information, see OpenTelemetry Collector.

  • Enhanced OpenTelemetry Metrics for Flogo: TIBCO Flogo® now provides additional metrics for OpenTelemetry (OTEL) collectors. You can access flogo_activity_execution_duration_msec and flogo_flow_execution_duration_msec metrics via OTEL, allowing for more comprehensive monitoring and analysis of your Flogo applications. This eliminates the need to bypass the OTEL collector for these specific metrics. For more information, see OpenTelemetry Collector.

  • Improved Schema Validation Runtime Error: A new engine variable FLOGO_SCHEMA_VALIDATION is added to enforce runtime schema validation. When enabled, the application fails during execution if the engine detects any schema validation issues. For more information, see Environment Variables.

  • Ability to Specify a Custom Build Name: You can specify a build name in the command build-tp-deployment using a flag -b or --build-name that helps identify the builds with a user given name on TIBCO Control Plane. For more information, see Building Flogo App Executable and Docker Image Using Flogo - App Build CLI.

  • Newly Supported Connector: TIBCO Flogo® Connector for Google Cloud Storage is the newly supported connector. For more information, see Supported Flogo Connectors.

  • TIBCO Flogo® Connector for Model Context Protocol (MCP):

    • TIBCO Flogo® Connector for Model Context Protocol (MCP) now supports annotation settings for Tool primitives in the MCP Server Trigger Handler. You can specify whether a tool is ReadOnly, Destructive, Idempotent, or Open World.

    • TIBCO Flogo® Connector for Model Context Protocol (MCP) now allows you to configure whether the MCP server operates in stateless or stateful mode.

  • TIBCO Flogo® Connector for Agentic AI - Tech Preview: TIBCO Flogo® Connector for Agentic AI – Tech Preview now includes support for the Amazon Bedrock Anthropic provider.

For complete release details, see TIBCO Flogo® 2.26.3 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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