Dynamic AI Assistant with Self-Evolving Rules
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This n8n workflow powers an 'Ultimate Assistant' AI that dynamically fetches operational rules from a PostgreSQL database, learns from user interactions, and adapts its behavior by updating its own rule set. It combines advanced AI capabilities with robust data management for intelligent, evolving automation.
About This Workflow
This powerful n8n workflow creates a sophisticated, self-evolving AI assistant. At its core, it leverages Langchain agents and Anthropic's Claude Sonnet to process user chat messages. What makes it unique is its ability to dynamically retrieve and incorporate operational rules from a PostgreSQL database into its system message, ensuring context-aware responses.
Furthermore, the assistant isn't static; it's equipped with tools to insert new rules based on user feedback and execute custom SQL queries, allowing it to continuously learn, adapt, and manage its own knowledge base. This creates an intelligent agent capable of refining its behavior over time, maintaining chat history, and acting as a true 'ultimate personal assistant' for specific needs.
Key Features
- Dynamic Rule Integration: Fetches real-time operational rules from a PostgreSQL database and injects them directly into the AI agent's system prompt for context-rich responses.
- Self-Learning Capabilities: The AI agent can insert new rules into the database based on user corrections or instructions, allowing for continuous improvement and adaptation.
- Advanced Database Tools: Empowers the AI to execute custom SQL queries against its rule database, enabling modification, deletion, or retrieval of rules for flexible knowledge management.
- Persistent Chat History: Maintains conversation context over multiple interactions using Langchain's Memory Buffer Window, ensuring natural and continuous dialogues.
- Anthropic Claude Sonnet: Utilizes a powerful, enterprise-grade LLM (Claude Sonnet 4) for intelligent understanding and generation of responses, ensuring high accuracy and reliability.
How To Use
- Set up PostgreSQL Credentials: Configure your PostgreSQL database credentials in n8n for both the
Get rulesandInsert/Execute querynodes. Ensure thedatos_agent_rulestable exists withid,created_at,rule_text, andagentcolumns. - Configure Anthropic Credentials: Add your Anthropic API key to the
Anthropic Chat Modelnode credentials. - Define Initial Rules (Optional): Populate your
datos_agent_rulestable with initial rules for theTestAgentto guide the AI's behavior from the start. - Activate Workflow: Start the workflow. It will be triggered by incoming chat messages via the
When chat message receivedwebhook. - Interact and Teach: Engage with the AI assistant. Provide feedback or instructions for new rules, and observe how the agent updates its internal database, dynamically improving its responses over time.
Apps Used
Workflow JSON
{
"id": "f44d838e-c6ad-4915-9c13-071664197e65",
"name": "Dynamic AI Assistant with Self-Evolving Rules",
"nodes": 28,
"category": "Operations",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: f44d838e-c6ad...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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