N8N Tools - Agno Workflow Agent
Level 5 AI Agent with workflow orchestration - Complete state management, automation, and process coordination powered by Agno framework
Overview
This node implements a powerful AI-driven Workflow Agent designed to orchestrate complex multi-step workflows with advanced state management, error handling, and automation capabilities. It leverages an AI language model to interpret instructions and messages that define workflow orchestration tasks, coordinating processes with precision and efficiency.
Typical use cases include:
- Automating business processes that require conditional branching, parallel execution, or event-driven triggers.
- Managing workflows that need persistent or distributed state tracking across multiple executions or nodes.
- Implementing robust error handling strategies such as retries, rollbacks, or skipping failed steps.
- Integrating various native tools for reasoning, knowledge retrieval, data analysis, communication, and more.
- Optimizing performance through caching, parallel execution, and resource management strategies.
Practical examples:
- A sequential approval process where each step depends on the previous one’s outcome.
- Parallel data processing pipelines triggered by file changes or scheduled events.
- State machine workflows managing complex state transitions in customer support ticketing.
- Event-driven workflows reacting to incoming emails or database updates.
- Autonomous workflows with AI decision-making for expert-level automation.
Properties
| Name | Meaning |
|---|---|
| Workflow Agent Recommendation | Informational notice about the node's automatic inclusion of tools, memory, and state management for complex workflow automation. |
| Instructions | System instructions guiding the AI agent on how to orchestrate workflows, manage states, and coordinate processes. |
| Message | Input message or task description for the workflow orchestration. |
| Workflow Configuration | Collection of options defining workflow orchestration behavior: - Workflow Type: Sequential, Parallel, State Machine, Event-Driven, Conditional. - State Management: Simple, Advanced, Persistent, Distributed. - Error Handling: Stop on Error, Skip and Continue, Retry with Backoff, Rollback. - Max Workflow Steps: Maximum number of steps allowed. - Automation Level: Basic, Intermediate, Advanced, Expert. - Trigger Configuration: Types of triggers (Schedule, Email, File Change, Webhook, Database, Data Change) and event chaining enablement. - Performance Optimization: Enable caching, parallel execution, and resource management strategy (Conservative, Balanced, Aggressive). |
| Enable Memory | Boolean to enable workflow state memory and persistence. |
| Memory Configuration | Options for memory system when enabled: - Session ID: Unique identifier for the workflow session. - State Persistence: Persist state between executions. - Memory Type: Contextual, Episodic, Semantic, Working, State-based. |
| Enable Tools | Boolean to enable native Agno tools for ultra-fast performance. |
| Agno Native Tools | Selection of native tools to enable: Reasoning, Knowledge, Web Search, Data Analysis, Finance, Email, HTTP Request, File System, Database, Shell. Defaults include Reasoning and Knowledge. |
| Tool Configurations | Configuration collections for specific tools: - File System (storage type, credentials) - Email (SMTP server, port, credentials) - Database (type, connection string) - Finance (default period, currency) - Knowledge (search method, sources) |
| Advanced Options | Additional settings: - Temperature (controls randomness) - Max Tokens (token limit for AI responses) - Output Format (Text, Markdown, JSON) - Enable Streaming (real-time response streaming) - Workflow Timeout (max execution time in ms) |
| Report Issue | Notice with links to report bugs or get help. |
Output
The node outputs a JSON object containing:
response: The main AI-generated response or result from the workflow agent.usage: Information about token usage or API consumption.model: The AI model used for the operation.agentType: Fixed value"workflowAgent".agentLevel: Fixed value5indicating the agent sophistication level.executionTime: Time taken for execution in milliseconds.workflowResults: Results produced by the executed workflow.stateTransitions: Array detailing state changes during workflow execution.workflowSteps: Array of individual workflow steps performed.orchestrationMetrics: Metrics related to workflow orchestration performance.agnoFramework: Boolean flag indicating use of the Agno framework.performance: String indicating performance speed (~3 microseconds).
If errors occur and "Continue On Fail" is enabled, output includes an error field with the error message and timestamp.
The node does not output binary data.
Dependencies
- Requires an AI language model node connected to the "Model" input for generating workflow orchestration logic.
- Requires an API key credential for the external N8N Tools API service to communicate with the Agno Workflow Agent backend.
- Optional configurations may require credentials for SMTP email servers, S3-compatible storage, databases, or finance APIs depending on enabled tools.
- Network access to the endpoint
https://n8ntools-agno-production.up.railway.app/api/v1/agentis necessary.
Troubleshooting
- Missing AI Model Input: If no AI language model node is connected, the node throws an error requesting the model input. Ensure a compatible AI model node is connected to the first input.
- Missing API Credentials: The node requires valid API credentials for the N8N Tools API. Without these, it will throw an error. Verify credentials are set up correctly.
- Timeouts or Slow Responses: Complex workflows with high max tokens or long timeouts may cause delays. Adjust
maxTokensandworkflowTimeoutaccordingly. - Invalid Tool Configurations: Misconfigured tool credentials (e.g., SMTP, S3 keys) can cause failures in tool-related operations. Double-check all tool-specific settings.
- Error Handling Behavior: Depending on the selected error handling strategy, workflow execution may stop or continue on errors. Choose the appropriate strategy for your use case.
- API Errors from LLM Invocation: If the AI model invocation fails, the node captures the error message prefixed with "LLM Error". Check the AI model node configuration and network connectivity.
Links and References
- Agno Workflow Agent GitHub Repository
- Support Form for Reporting Issues
- N8N Documentation on Custom Nodes
- OpenAI GPT Models (example AI models compatible with this node)