This n8n workflow automates the management of an AI-powered agent’s data using Supabase as the backend. It facilitates seamless retrieval, updates, and management of various agent-related data such as messages, tasks, status, and knowledge. The workflow is triggered via webhook and interacts with multiple tables in Supabase to ensure the agent remains up-to-date and responsive. It supports storing interactions, querying the latest information, and maintaining agent state, making it ideal for deploying intelligent support or chat assistants that learn and adapt over time.
AI Agent Workflow for Data Management with Supabase
Node Count | >20 Nodes |
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Nodes Used | @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.mcpTrigger, @n8n/n8n-nodes-langchain.vectorStoreSupabase, stickyNote, supabaseTool |
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