N8N Tools - Agno Framework

Complete suite of specialized AI agents with ultra-fast performance (~3μs) powered by the Agno framework. This N8N community node package provides 5 different agent levels for various complexity needs.

✨ Features

• ⚡ Ultra-Fast Performance: ~3μs execution time with Agno framework
• 🎯 5 Specialized Agents: Different complexity levels (1-5) for specific use cases
• 🛠️ 10 Native Tool Categories: Reasoning, knowledge, web search, data analysis, and more
• 🧠 Advanced Memory Systems: Contextual, episodic, semantic, and state-based memory
• 👥 Multi-Agent Collaboration: Team coordination and task delegation
• 🔄 Workflow Orchestration: Complex state management and automation
• 🔌 N8N LangChain Integration: Seamless model connectivity
• ☁️ Cloud Storage Support: S3, R2, MinIO, and other providers

🤖 Agent Types

Level 1: Agno Basic Agent

Perfect for: Simple AI tasks with tool access

• Basic instructions + message processing
• All 10 native Agno tools available
• Tool configurations for external services
• Ultra-fast performance (~3μs)

Level 2: Agno Knowledge Agent

Perfect for: Knowledge-based tasks and document processing

• Auto-enabled: Knowledge Tools
• Vector search and document indexing
• Hybrid search capabilities
• Knowledge base integration

Level 3: Agno Reasoning Agent

Perfect for: Complex reasoning and memory-dependent tasks

• Auto-enabled: Reasoning + Knowledge Tools
• Chain of thought processing
• Advanced memory systems (contextual, episodic, semantic)
• Logic and reflection capabilities

Level 4: Agno Team Agent

Perfect for: Multi-agent collaboration and coordination

• Auto-enabled: Reasoning + Knowledge Tools
• Team coordination strategies (sequential, parallel, hierarchical, democratic)
• Specialist roles and shared memory
• Task delegation and collaboration

Level 5: Agno Workflow Agent

Perfect for: Complete workflow automation and state management

• Auto-enabled: ALL Agno tools
• Advanced state management with transitions
• Workflow orchestration (sequential, parallel, state-machine, event-driven)
• Complete automation capabilities

🚀 Quick Start

Installation

Install this node in your N8N instance:

Via Community Nodes (Recommended)

1. Go to Settings > Community Nodes in your N8N interface
2. Click Install a community node
3. Enter n8n-nodes-n8ntools-agno
4. Click Install

Via npm

npm install n8n-nodes-n8ntools-agno

Configuration

1. Add Credentials: Create "N8N Tools API" credentials with your API key
2. Connect LLM Model: All agents require an AI Language Model connection
3. Choose Agent Level: Select the appropriate agent for your complexity needs
4. Configure Tools: Enable and configure needed Agno tools

🛠️ Native Agno Tools

Tool Category	Description	Use Cases
🧮 Reasoning Tools	Chain of thought, logic processing	Complex problem solving, analysis
🧠 Knowledge Tools	Vector search, document indexing	Information retrieval, Q&A systems
🔍 Web Search	Search engines, web information	Real-time data gathering
📊 Data Analysis	Statistical analysis, processing	Data insights, reporting
💰 Finance (YFinance)	Stock prices, market data	Financial analysis, trading
📧 Email Tools	Send emails, communications	Notifications, reports
🌐 HTTP Request	API calls, web requests	Service integration
📁 File System	Cloud storage operations	Document management
🗃️ Database Tools	SQL queries, data operations	Data persistence, retrieval
🔄 Shell Tools	Command execution, scripts	System automation

📖 Usage Examples

Basic AI Assistant (Level 1)

{
  "instructions": "You are a helpful AI assistant. Be concise and accurate.",
  "message": "Explain quantum computing in simple terms",
  "agnoTools": ["reasoning", "webSearch"]
}

Knowledge-Based Q&A (Level 2)

{
  "instructions": "Answer questions using the knowledge base",
  "message": "What are the latest developments in renewable energy?",
  "knowledgeConfig": {
    "searchMethod": "hybrid",
    "knowledgeSources": ["documents", "webPages"]
  }
}

Complex Reasoning Task (Level 3)

{
  "instructions": "Solve complex problems using step-by-step reasoning",
  "message": "Analyze the pros and cons of different database architectures",
  "memoryConfig": {
    "memoryType": "contextual",
    "sessionId": "analysis-session"
  }
}

Team Collaboration (Level 4)

{
  "instructions": "Coordinate team members to complete complex projects",
  "message": "Plan and execute a complete marketing campaign",
  "teamConfig": {
    "teamSize": 4,
    "collaborationStrategy": "hierarchical",
    "specialistRoles": ["researcher", "contentWriter", "strategist", "designer"]
  }
}

Workflow Automation (Level 5)

{
  "instructions": "Orchestrate complex multi-step workflows",
  "message": "Automate customer onboarding process",
  "workflowConfig": {
    "workflowType": "stateMachine",
    "stateManagement": "persistent",
    "errorHandling": "rollback"
  }
}

🔧 Tool Configurations

File System (S3/R2/MinIO)

{
  "fileSystemConfig": {
    "storageType": "s3",
    "s3AccessKeyId": "your-access-key",
    "s3SecretAccessKey": "your-secret-key",
    "s3BucketName": "your-bucket",
    "s3Region": "us-east-1"
  }
}

Email Configuration

{
  "emailConfig": {
    "smtpServer": "smtp.gmail.com",
    "smtpPort": 587,
    "emailAddress": "your@email.com",
    "emailPassword": "your-password"
  }
}

Database Connection

{
  "databaseConfig": {
    "databaseType": "postgres",
    "connectionString": "postgresql://user:password@localhost:5432/database"
  }
}

🎯 Best Practices

Agent Selection

• Level 1 (Basic): Simple tasks, single operations
• Level 2 (Knowledge): Document processing, information retrieval
• Level 3 (Reasoning): Complex analysis, multi-step problems
• Level 4 (Team): Collaborative projects, specialized roles
• Level 5 (Workflow): End-to-end automation, state management

Performance Optimization

• Use appropriate agent level for task complexity
• Configure only needed tools to optimize performance
• Leverage memory systems for context retention
• Use streaming for long-running operations

Security & Best Practices

• Store sensitive credentials securely
• Use appropriate timeout values for complex workflows
• Monitor usage and performance metrics
• Implement proper error handling strategies

📚 API Reference

Input Parameters

Parameter	Type	Required	Description
instructions	string	Yes	System instructions for the agent
message	string	Yes	Input message or task description
agnoTools	array	No	Selected Agno native tools
toolConfigurations	object	No	Tool-specific configurations
memoryConfig	object	No	Memory system configuration
advancedOptions	object	No	Advanced settings (temperature, tokens, etc.)

Response Format

{
  "response": "Agent response text",
  "usage": { "tokens": 1234, "cost": 0.05 },
  "model": "gpt-4",
  "agentType": "basicAgent",
  "agentLevel": 1,
  "executionTime": 3,
  "agnoFramework": true,
  "performance": "~3μs"
}

🔗 Integration Examples

With N8N HTTP Request Node

Chain Agno agents with API calls for complex workflows.

With N8N Database Nodes

Combine database operations with AI analysis for data insights.

With N8N Trigger Nodes

Create event-driven AI automation workflows.

🆘 Troubleshooting

Common Issues

Agent not responding

• Check API credentials configuration
• Verify LLM model connection
• Review agent-specific requirements

Tool configuration errors

• Validate tool-specific credentials
• Check storage/database connectivity
• Review permission settings

Performance issues

• Select appropriate agent level
• Optimize tool selection
• Adjust timeout values

Getting Help

• 📖 Documentation
• 💬 Community Support
• 🐛 Report Issues

📄 License

MIT License - see LICENSE file for details.

🏢 About N8N Tools

N8N Tools provides enterprise-grade integrations and AI capabilities for N8N workflows. Visit n8ntools.io to explore our complete suite of tools.

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Made with ❤️ by the N8N Tools Team