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KNIME for Agentic AI

AIArtificial IntelligenceGenAIAgentic AITools

Agentic Artificial Intelligence (Agentic AI) refers to systems designed to work autonomously to achieve specific goals. These agents can execute tasks, make decisions, and adapt their approach based on new information. This collection provides resources for building Agentic AI applications in KNIME Analytics Platform. Below, we list nodes, components, example workflows, and other learning materials to help you get started.

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Agentic AI Nodes to Know

The section includes nodes for creating tools that can access data tables, supply data tables to other tools, and send messages to the LLM Agent. As well as the important agent prompter node where the Agent will be configured either as an independent node or as a chat dialogue visualization.
Node / Source
List Files/Folders

Displays files and folders contained in the selected directory, accessing various file systems. Learn more

Node / Manipulator
Workflow to Tool

Generates Tools from workflows by reading provided Paths, enhancing usability through documentation and parameterization. Learn more

Node / Predictor
Agent Prompter

Generates an agent that processes a user prompt by sequentially executing defined tools based on available metadata. Learn more

Node / Visualizer
Agent Chat View

Enables interactive, multi-turn conversations with an AI agent, utilizing a chat model and various tools for context-aware dialogue. Learn more

Node / Container
Workflow Input

Receives a table or any other port object from a KNIME workflow that calls this workflow using the Call Workflow Service node. Learn more

Node / Container
Workflow Output

Generates a table or port object to be sent back to a KNIME workflow, identified by a parameter name. Learn more

Node / Container
Tool Message Output

Displays the output message of the Tool to the AI agent that invoked it, based on the first cell of the input table. Learn more

Node / Manipulator
Message Creator

Generates messages with text and image content, assigning roles like User, AI, or Tool, based on input table rows. Learn more

Node / Manipulator
Message Part Extractor

Extracts specific parts from messages in a table, enabling the handling of various content types like text and images. Learn more

Agentic AI Workflows

Explore the workflow examples below to see our new agentic AI nodes in action. For a deeper dive into their applications and the concepts behind them, read our detailed post on the KNIME Blog. Be sure to download the entire workflow parent folder which includes tools used by the agent workflows below.
Go to item
Workflow
Inventory Manager Agent
The Inventory Manager Agent is built to assist users in managing inventory, forecasting stock levels, ordering out-of-stock produ…
AI Extension Example Workflows4) AgentsInventory Manager AgentInventory Manager
2
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Go to item
Workflow
Revenue Recovery and Optimization Agent
Agentic AIAgentsAI
+2
An agent that assists the Accounting team in recovering and optimizing revenues by systematically managing outstanding invoices.
AI Extension Example Workflows4) AgentsRevenue Recovery & Optimization AgentAgent
1
knime
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Workflow
Reimbursement Validator Agent
Validates reimbursements using an agent-based approach in KNIME.
AI Extension Example Workflows4) AgentsReimbursement Validator AgentReimbursement Validator Agent
2
knime
Go to item
Workflow
Customer Satisfaction and Retention Agent
AIAgentic AITools
+3
An agent that assists the Marketing and Sales team to enhance customer satisfaction and retention by proactively addressing dissa…
AI Extension Example Workflows4) AgentsCustomer Satisfaction & Retention AgentAgent
2
knime
Go to item
Workflow
Ask me Anything Agent
Agentic AIAsk Me AnythingAI Agents
+2
This Ask Me Anything agent helps you answer company internal queries about its employees, customers and users.
AI Extension Example Workflows4) AgentsAsk me Anything AgentAsk me Anything Agent
2
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Learning Resources: Data-Aware Agentic AI - Getting Started

Learn to build data-aware agentic AI systems with your no-code KNIME workflows. This course covers the core components of agentic AI: tools and agents. You’ ll build agents to solve problems, implement tools, and securely integrate your data—all without writing code. Pass the final knowledge check to earn a «Data-Aware Agentic AI - Getting Started» microcredential.
Online free course: Data-Aware Agentic AI - Getting Started

Additional Material

This section includes additional resources and materials to complement the main content.
Docs: Agentic AI in KNIME
Blog: Agentic AI and KNIME
Blog: Put Scalable AI Agents into Productions with the MCP Standard and KNIME
Blog: How AI Changed My Way of Working with Data
Blog: Build an AI Agent in 4 Steps
Blog: 5 Trust Barriers Blocking Agentic AI Adoption and How to Overcome Them

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