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🌌 AgentVerse

🚀 Deploy AI Agents effortlessly — automate tasks, boost productivity, and transform workflows with intelligent automation.

We also use n8n-search-engine (custom workflow search with indexing & descriptions) inside AgentVerse workflows.


✨ One-liner

AgentVerse: Build, customize and deploy reliable AI agents (no-code friendly) that stick to the facts and automate everyday workflows.


🔍 Features

  • 🤖 AI-Powered Agents — Automate bookings, reviews, customer support, coding tasks, finance, and more.
  • 📚 Agent Library — 100+ pre-built automation tasks and templates ready to use.
  • High Reliability — Designed to minimize hallucinations and keep responses grounded.
  • 🧭 No-code Friendly — Simple UI for non-technical users; create agents without knowing n8n or automation internals.
  • 🕒 24/7 Availability — Agents run continuously to complete scheduled or on-demand tasks.
  • 🎨 Modern UI/UX — Clean, futuristic interface built for usability.

📸 Screenshots

Dashboard
Dashboard

AI Agents Library
AI Agents

Agent Cards
Agent Cards


🛠️ Tech Stack

  • Frontend: React.js + TailwindCSS
  • Backend: Python
  • Automation / Orchestration: n8n (workflows embedded via our n8n-search-engine)
  • LLM / AI APIs: We here used Gemini API key .
  • Database: MongoDB

🧭 Why AgentVerse + n8n-search-engine?

We use our n8n-search-engine to index and surface pre-built workflows by description and intent — this makes it fast to discover, reuse, or wire-up automation templates inside AgentVerse. Link: https://github.com/AzamAliCodes/n8n-search-engine


🚦 Built for humans — Prompting & Safety

AgentVerse prioritizes reliability and clarity:

  • Prompt design: Agents are shipped with carefully crafted prompts that instruct models to cite sources, refuse hallucinations, and answer concisely.
  • Grounding layers: Agents prefer structured data (APIs, DB results) and use retrieval/verification steps before responding.
  • User-facing simplicity: Non-technical users can build agents using guided forms — no knowledge of n8n or automation required.
  • Fallbacks & audits: Each agent logs decisions and can be audited or tuned if it produces unexpected output.

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