Intelligent Conversational AI Agent with Memory and Tool Integration
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Build powerful AI-driven chatbots that can remember past conversations and leverage external tools to provide comprehensive answers. This workflow enables sophisticated conversational agents for enhanced customer engagement and efficient information retrieval.
About This Workflow
This n8n workflow empowers you to create an intelligent conversational AI agent capable of understanding context and performing actions. At its core, an OpenAI Chat Model (gpt-4o-mini) processes incoming chat messages received via a webhook. This agent utilizes a windowed memory buffer, retaining the last 20 messages to maintain conversation history and provide relevant responses. Critically, it's equipped with powerful tools like SerpAPI for real-time web search and Wikipedia for knowledge retrieval, allowing it to fetch and synthesize information to answer complex prompts. The AI Agent node orchestrates the interaction between the language model, memory, and tools, ensuring seamless and intelligent conversation flow.
Key Features
- Conversational Memory: Maintains context with a buffer storing the last 20 messages.
- Advanced Tool Integration: Leverages SerpAPI and Wikipedia for dynamic information retrieval.
- Intelligent Agent Logic: Utilizes the power of OpenAI's GPT models for sophisticated response generation.
- Web-based Trigger: Easily integrates with external platforms via a webhook trigger.
- Customizable AI Model: Supports various OpenAI models for flexible performance tuning.
How To Use
- Configure the Chat Trigger: Set up the 'When chat message received' node with your desired webhook URL to receive incoming messages.
- Select Your Language Model: In the 'OpenAI Chat Model' node, choose your preferred OpenAI model (e.g., 'gpt-4o-mini') and authenticate with your OpenAI API credentials.
- Implement Memory: Configure the 'Simple Memory' node to define the
contextWindowLength(e.g., 20 messages) to store conversation history. - Add External Tools: Connect 'SerpAPI' and 'Wikipedia' nodes, ensuring you provide your respective API keys for each service.
- Build Your Agent: Link the 'AI Agent' node to the 'When chat message received' trigger, the 'OpenAI Chat Model', the 'Simple Memory', and all your configured tools. This node orchestrates the agent's decision-making process.
Apps Used
Workflow JSON
{
"id": "8d688a11-11e3-4311-b00a-14468079d75e",
"name": "Intelligent Conversational AI Agent with Memory and Tool Integration",
"nodes": 26,
"category": "Marketing",
"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: 8d688a11-11e3...
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