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This project showcases a modular framework for building AI agents and LLM-powered applications using n8n for orchestration, custom APIs, and LangChain integration. Designed for automated workflows, smart assistants, and backend AI logic across scalable pipelines.

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Tania526-sudo/AI-Automation-Build-LLM-Apps-AI-Agents-with-n8n-APIs

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AI Automation: Build LLM Apps & AI Agents with n8n + APIs

This project demonstrates how to create autonomous AI-powered agents and applications using n8n, large language models (LLMs), and custom APIs. It combines LangChain, OpenAI, and Python microservices into an orchestrated workflow automation engine.

Features

  • Build LLM-based agents (OpenAI, Claude, Groq, etc.)
  • Automate multi-step tasks via n8n workflows
  • Integrate APIs using Python, FastAPI or webhooks
  • Modular structure for multiple agents and tools
  • Use LangChain chains, tools, memory
  • Connect external data sources (files, URLs, SCADA, CRM, DB, etc.)
  • Deploy on-prem or in cloud (Docker compatible)

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This project showcases a modular framework for building AI agents and LLM-powered applications using n8n for orchestration, custom APIs, and LangChain integration. Designed for automated workflows, smart assistants, and backend AI logic across scalable pipelines.

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