N8N Tools - Agno Agent
Ultra-fast AI Agent powered by Agno framework - Multi-agent systems with ~3Ξs performance, advanced reasoning, and multi-modal capabilities
Overview
The N8N Tools - Agno Agent node is an ultra-fast AI agent powered by the Agno framework, designed to provide advanced multi-agent system capabilities with microsecond-level performance. It supports various agent types ranging from basic assistants to complex multi-agent teams and workflow automation agents. The node integrates tightly with AI language models and can leverage a wide range of native tools for enhanced functionality such as reasoning, web search, data analysis, finance, email, HTTP requests, file system operations, databases, knowledge bases, and shell commands.
This node is beneficial in scenarios where you want to automate intelligent tasks, perform complex reasoning, manage workflows, or collaborate across multiple specialized agents. For example:
- A Basic Agent can quickly respond to user queries with concise answers.
- A Knowledge Agent can access and retrieve information from a knowledge base.
- A Reasoning Agent can maintain conversation memory and perform advanced logical reasoning.
- A Team Agent enables collaboration among multiple specialized agents (e.g., researchers, content writers).
- A Workflow Agent manages stateful, automated workflows with branching and looping.
Properties
| Name | Meaning |
|---|---|
| Agent Type | Select the type of agent to use: - ⥠Basic Agent (Level 1) - ð Knowledge Agent (Level 2) - ð§Ū Reasoning Agent (Level 3) - ðĨ Team Agent (Level 4) - ð Workflow Agent (Level 5) |
| Instructions | System instructions guiding the agent's behavior (e.g., "You are a helpful AI assistant. Be concise, accurate, and helpful.") |
| Message | Input message or query sent to the agent for processing. |
| Enable Tools | Boolean to enable or disable native Agno tools integration. |
| Agno Native Tools | Select one or more native tools to enable for the agent, including: - ð§Ū Reasoning Tools - ð Web Search Tools - ð Data Analysis Tools - ð° Finance Tools - ð§ Email Tools - ð HTTP Request Tools - ð File System Tools - ðïļ Database Tools - ð§ Knowledge Tools - ð Shell Tools |
| Tool Configurations | Configuration options for enabled tools, e.g., database connection strings, email SMTP settings, file system storage details, HTTP request defaults, finance tool parameters, shell command settings. |
| Advanced Options | Additional settings including: - Temperature (response randomness) - Max Tokens (max response length) - Enable Memory (conversation memory and context persistence) - Memory Configuration - Enable Streaming - Multi-Modal Input - Output Format (text, JSON, markdown, HTML) - Fallback Model |
| Team Configuration | (For Team Agent only) Settings for team size, collaboration strategy (sequential, parallel, hierarchical, democratic), and specialist roles (e.g., researcher, content writer, developer). |
| Workflow Configuration | (For Workflow Agent only) Settings for workflow type (linear, branching, loop, state machine), max iterations, and checkpoint enabling. |
Output
The node outputs a JSON object containing:
response: The main response from the Agno agent, which may be text or structured data depending on the output format.usage: Usage statistics or metadata related to the AI model call.model: The name of the AI model used.agentType: The selected agent type.executionTime: Time taken for the agent execution.reasoning: Optional detailed reasoning information if available.toolsUsed: List of tools that were utilized during the agent's operation.memoryKey: Identifier for the memory session if memory is enabled.- If streaming is enabled and supported, the output includes
streaming: trueand astreamUrlfor real-time data.
No binary data output is indicated.
Dependencies
- Requires an AI Language Model node connected to the input named "Model" to provide the underlying language model interface.
- Requires valid API credentials for the N8N Tools API (an API key credential) to communicate with the Agno backend service at
https://n8ntools-agno-production.up.railway.app. - Optional dependencies based on enabled tools:
- Database connections (PostgreSQL, MySQL, SQLite, MongoDB)
- Email SMTP server credentials
- Cloud storage credentials for S3-compatible services
- Other external APIs via HTTP requests
- The node expects the environment to support HTTP requests and network connectivity to the Agno API endpoint.
Troubleshooting
- Missing AI Language Model Input: The node requires a connected AI language model node. Error message: "AI Language Model input is required. Please connect a model node." Ensure the model node is properly connected.
- Missing API Credentials: If the N8N Tools API credentials are not set or invalid, the node will throw an error. Verify that the API key credential is configured correctly.
- Model Method Compatibility: The node attempts to invoke the model using several possible methods (
invoke,call,predict,generate). If none are found, it throws an error indicating unsupported model interface. Use compatible AI model nodes. - Tool Configuration Errors: Misconfigured tool settings (e.g., incorrect database connection string, SMTP server details) may cause runtime errors. Double-check all tool configurations.
- Timeouts and Network Issues: Network failures or timeouts when calling the Agno API can occur. Check network connectivity and API availability.
- Streaming Issues: When streaming is enabled, ensure the client supports handling streaming responses; otherwise, fallback to non-streaming mode.
- Memory Persistence Problems: If memory persistence is enabled with external databases or caches, verify those services are accessible and credentials are correct.
Links and References
- Agno Framework Documentation (hypothetical link for reference)
- N8N Official Documentation
- Agno Agent API Endpoint (used internally by the node)
- Relevant AI language model node documentation within n8n for compatibility details.
This summary is based solely on static code analysis and provided property definitions without runtime execution.