| 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 2.26.8 (September 2026)
TIBCO Flogo® Connector for AMQP: Added support for the AMQP connector, enabling message publishing and consumption with AMQP 0-9-1 and AMQP 1.0 brokers, including durable subscriptions and TLS-based security.
TIBCO Flogo® Connector for Redis:
RENAME and RENAMENX Commands: The TIBCO Flogo® Connector for Redis now supports the RENAME and RENAMENX commands under the Generic command group. This enhancement allows integration flows to dynamically rename Redis keys directly within the connector without requiring custom extensions or workarounds.
Command Behaviors: The RENAME command renames an existing key to a new specified key name. For scenario-driven workflows where key collisions must be avoided, the RENAMENX command performs a conditional rename—renaming the key only if the target key name does not already exist in Redis.
TIBCO Flogo® Design Assistant - Tech Preview: TIBCO Flogo® Design Assistant - Tech Preview now includes two new tools — update-schema and update-mapping-schema. The update-schema tool can help add, remove, or modify a single property in an existing named schema. The update-mapping-schema tool supports adding, removing, or modifying a single property in a schema attached to mappable activities or flow metadata. Neither tool requires the resupplying of the entire JSON schema.
TIBCO Flogo® Connector for Oracle MySQL:
MySQL SQL Direct Activity with Dynamic Connection Inputs: You can now execute arbitrary SQL queries against MySQL Server using a new SQL Direct activity. This enhancement allows you to pass all connection parameters as runtime activity inputs, removing the need for static connection objects.
TIBCO Flogo® Connector for IBM DB2:
Dynamic SQL Execution: TIBCO Flogo® Connector for IBM DB2 provides an activity to execute dynamic SQL queries against IBM DB2 databases. It supports SELECT queries, DML statements (INSERT, UPDATE, DELETE), stored procedure calls (CALL), parameterized queries, result set batching, DML batch execution, and automatic retry on connection errors.
DB2 SQL Direct Activity with Dynamic Connection Inputs: You can now execute arbitrary SQL queries against IBM DB2 Server using a new SQL Direct activity. This enhancement allows you to pass all connection parameters as runtime activity inputs, removing the need for static connection objects.
For complete release details, see TIBCO Flogo® 2.26.8 Release Notes.
When working with TIBCO Flogo®, you may find the following videos useful:
Building AI Agents in minutes: Agentic AI Orchestration for the Modern Enterprise using TIBCO Flogo® | Build Integration Flows in Minutes Using Natural Language Prompts | TIBCO Flogo® AI Design Assistant | How to Build an AI Alert Agent with TIBCO Platform & Flogo |
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 |
Accelerate your development by importing and customizing our predefined samples. These templates demonstrate how to build, test, and deploy Flogo applications using advanced capabilities. Each sample is categorized and includes a comprehensive guide. Visit the Flogo GitHub Repository, follow the instructions in the README file, and import them directly into your workspace.
AI-powered agents with custom guardrails, multi-agent handoff, MCP server integration, A2A (Agent-to-Agent) protocol, LLM Client Activity, dynamic tool selection at scale, scheduled reasoning with report generation, and incident triage.
Integrate business data (customers, products, sales) with AI Agents using the TIBCO Flogo® MCP Connector for natural language querying.
Explore production-ready REST, GraphQL, and gRPC samples.
Implement pre-built Flogo connectors for databases, messaging systems, and ecosystem integrations.
Learn how to create robust unit tests, handle assertions, and mock activities.
Deploy and scale your Flogo applications seamlessly as Azure Functions.
Package and deploy your Flogo applications using tailored, custom container images.
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