🔥 Create Powerful Local AI Agents with No Code Using n8n!
In this comprehensive tutorial, learn how to create AI agents that run 100% locally on your computer using Ollama, PostgreSQL, and n8n - the popular open-source automation tool with 47,000+ GitHub stars!
🔗 Important Links:
• Ollama: https://ollama.com
• PostgreSQL: https://postgresql.org
• n8n: https://n8n.io
• Node.js: https://nodejs.org
🛠️ Tools & Versions Used:
• Ollama with Llama 3.2
• PostgreSQL 14
• n8n (latest version)
• Node.js (required for n8n)
• SerpAPI for Google Search integration
📝 Tutorial Overview:
1. Setting up the environment
- Installing Ollama
- Installing PostgreSQL
- Setting up n8n
- Downloading Llama 3.2 model
2. Creating AI Agents
- Basic Calculator Agent
- News Search Agent
- Blog Writer Agent
3. Adding Components
- Memory integration with PostgreSQL
- Tool integration (Calculator, SerpAPI)
- System prompts and workflows
4. Publishing Your Chatbot
- Making workflows public
- Testing and debugging
- Final deployment
💡 Key Features:
• 100% local AI agent setup
• Memory persistence with PostgreSQL
• No-code workflow creation
• Tool integration capabilities
• Public chatbot deployment
• Multi-agent communication
⚙️ Installation Commands:
Mac Users (using Homebrew):
```
brew install postgresql@14
brew services start postgresql@14
npx n8n
```
Ollama Model Download:
```
ollama pull llama3.2
```
🔍 Default PostgreSQL Settings:
• Host: localhost
• Database: postgres
• User: postgres
• Password: (empty)
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❓ Having issues or questions? Drop them in the comments below!
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0:00 - Introduction
1:21 - Setup Requirements
2:41 - Creating Your First Workflow
3:26 - Adding Memory to AI Agent
4:19 - Implementing Tools to AI Agent
5:41 - Building News Search Agent
6:08 - Setting Up SerpAPI Integration
7:08 - Creating Blog Writer Agent
7:58 - Publishing as Public Chatbot
8:29 - Testing & Troubleshooting
9:32 - Final Demo & Results
10:05 - Conclusion & Additional Resources