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Deforge

A no-code platform to build and deploy AI agents and automations in minutes using a visual node editor or chat-to-build, with multi-model support, pre-built forms, and one-click deployment.

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Deforge is a no-code platform for building and deploying AI agents and automations in minutes, without writing a single line of code. You can chat to describe the capabilities you want and let Deforge build the agent, or use a visual, Canva-like node editor to drag, drop, and connect nodes into a logic flow, then deploy with a single click.

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The platform connects to multiple LLMs, including GPT-4, Claude, and Llama, through a unified interface, offers dozens of pre-built forms and templates for fast deployment, and supports custom conditional logic without code. Deforge handles the hosting, API connections, and database management, so users focus on logic rather than infrastructure. Example agents include an AI customer support chatbot that uses your own documents as a knowledge base, an automated job-search alerter, a daily news tweeter, a Telegram meeting scheduler, a Gmail-to-Telegram summarizer, and an adaptive AI tutor, and a community gallery showcases what others have built.

Deforge is aimed at non-technical and operations users rather than developers, positioning itself as a more user-friendly alternative to tools like n8n and Langflow. It offers a free Basic plan with 500 one-time credits and up to 3 apps, a Pro plan, pay-as-you-go pricing, and enterprise managed tiers with dedicated infrastructure, custom nodes, SSO, and custom domains.

  • CategoryAI Agent Builders
  • Pricing ModelFreemium
  • DeploymentCloud
  • PlatformsWeb

  • No-code AI agent and automation building

  • Visual drag-and-drop node editor

  • Chat-to-build agent creation

  • Multi-model support for GPT-4, Claude, Llama, and more

  • Dozens of pre-built forms and templates

  • Custom conditional logic without code

  • One-click deployment with automatic scaling

  • Managed hosting, API connections, and database management

  1. Describe or design: Chat to describe the agent you want, or build the flow in the visual node editor.

  2. Connect models and logic: Choose an LLM and add custom logic or a pre-built form.

  3. Deploy: Publish your agent to production with a single click.

  4. Share and scale: Share it as a web form and let it scale automatically.

  • AI customer support
  • Scheduled automations
  • Messaging bots
  • Rapid prototyping
  • Agency and enterprise deployment

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