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Agent One
Deploy AI Agents in One Click

Agent One
Freemium
From 50$

Home: https://agnt.one

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What is Agent One?

Agent One is a platform designed for the creation and deployment of AI agents. These agents can function as modern landing pages or as chat widgets, enhancing user interaction on websites. The platform supports training agents through various methods, including scraping public URLs, integrating with GitHub repositories, and enabling API calls for real-time data retrieval and integration with other services.

With Agent One, users can easily manage multiple agents from a single dashboard. Key features include custom domain support with simple DNS configuration, an embeddable chat widget via a JavaScript snippet, and detailed usage analytics to monitor agent performance and user engagement. Agent behavior is also customizable, allowing for brand-aligned interactions.

Features

  • One-Click Agent Deployment: Instantly deploy AI agents as standalone landing pages or chat widgets.
  • URL Scraping: Train agents by scraping any public URL.
  • Custom Domain Support: Deploy agents on your own domain with simple DNS configuration and SSL support.
  • Embeddable Chat Widget: Add a chat widget to any website with a simple JavaScript snippet.
  • API-Enabled Agents: Create agents that call APIs to fetch real-time data and integrate with other services.
  • Multi-Agent Management: Create and manage multiple AI agents from a single dashboard.
  • Usage Analytics: Monitor agent performance and user engagement through a real-time analytics dashboard.
  • Customizable Behavior: Define instructions and brand-aligned behaviors for AI agents.
  • GitHub Integration: Deploy AI agents directly from your repositories with one click.
  • Multi-Source Training: Combine data from multiple sources to create comprehensive agents.

Use Cases

  • Create interactive landing pages from existing content.
  • Develop customer support agents for websites.
  • Generate documentation helpers for complex products.
  • Automate responses to frequently asked questions.
  • Integrate real-time data into agent interactions.
  • Build public facing agents to engage users.

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