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ai.diy Review

ai.diy is an open-source, self-hosted AI workspace designed for creating presentations, documents, code, and other files using AI, npm packages, and browser tools.

shipped Aug 21, 2026researchfreemium
research
ai.diy — product screenshot

Why it matters

1Open-source and self-hosted AI workspace with MIT license.
2Supports over 20 AI providers including OpenAI, Anthropic, and Google Gemini.
3Local-first architecture stores user credentials securely in the browser without persistent server keys.
4Offers a free tier for access to core functionalities.

About ai.diy

Business Model
Open Source
Platforms
Web
Target Audience
Individuals and organizations looking for a customizable AI workspace.

Leadership

Cubinghackerz
API DocsGitHubOpen Source

Specs

API Available

Yes, public API

Screenshots

overview

What is ai.diy?

ai.diy is a customizable AI workspace tool developed by Cubinghackerz that enables individuals and organizations to create presentations, documents, code, and other useful files using AI, npm packages, and browser tools. It features a local-first architecture, storing user credentials securely in the browser without relying on persistent server keys, and supports over 20 AI providers.

features

Key Features of ai.diy

ai.diy provides a comprehensive set of features for an AI-powered workspace, emphasizing security, flexibility, and broad compatibility with various AI models. Its open-source nature allows for community contributions and transparent development.

  • Open-source and MIT licensed, allowing for transparency and community development.
  • Self-hosted AI workspace, providing users with control over their data and environment.
  • Local-first architecture ensures user credentials and data are stored securely in the browser.
  • Supports over 20 AI providers, including OpenAI, Anthropic, Google Gemini, Groq, Ollama, Hugging Face, Azure, Vertex, and Amazon Bedrock.
  • No persistent server keys required for credential management, enhancing security.
  • Enables creation of presentations, documents, and code using integrated AI capabilities.
  • Includes chat and research tools for interactive AI assistance.
  • Utilizes npm packages and browser tools to extend functionality within the workspace.
  • Offers a developer API for custom integrations and extending the platform's capabilities.

use cases

Who Should Use ai.diy?

ai.diy is designed for a diverse range of users who require a flexible, secure, and powerful AI workspace for various content creation and development tasks. Its open-source nature and broad provider support make it suitable for both individual developers and organizations.

  • Developers and Programmers: For generating code, debugging, and creating documentation with AI assistance, leveraging its support for multiple AI providers and API access.
  • Content Creators and Researchers: For drafting presentations, documents, and research papers, utilizing AI for brainstorming, outlining, and content generation.
  • Individuals and Small Businesses: Seeking a secure, self-hosted AI solution for daily tasks without relying on third-party servers for credential storage.
  • Organizations Requiring Customization: For teams that need a highly customizable AI workspace that can integrate with specific AI models and internal tools via its open-source framework and API.

how to use

How to Use ai.diy

To begin using ai.diy, users typically access the web-based interface and configure their preferred AI providers. The platform's local-first design means initial setup involves browser-side configuration.

  • 1Access the ai.diy web interface via a compatible browser.
  • 2Configure desired AI providers (e.g., OpenAI, Anthropic) by entering API keys directly into the browser's local storage.
  • 3Utilize the workspace to create new documents, presentations, or code files.
  • 4Interact with AI models through chat interfaces for research or content generation.
  • 5Integrate npm packages or browser tools to enhance specific project workflows.
  • 6Leverage the API for advanced customization or integration with external applications.

pricing

ai.diy Pricing & Plans

ai.diy operates on a freemium model, providing core functionalities without an upfront cost. Specific details regarding paid tiers or advanced features are not publicly detailed beyond the open-source core, suggesting that premium offerings may relate to hosted services or enterprise support.

  • Free Tier: Includes access to the open-source, self-hosted AI workspace with core features and support for over 20 AI providers.

Pros

  • +Open-source and MIT licensed, offering transparency and community-driven development.
  • +Self-hosted architecture provides users with full control over their data and environment.
  • +Local-first design stores credentials securely in the browser, eliminating persistent server keys.
  • +Supports a broad range of over 20 AI providers, including major LLMs and local models.
  • +Highly customizable workspace for diverse tasks like code generation, document creation, and research.
  • +Includes a developer API for extensive integration and platform extension.

Cons

  • Requires technical proficiency for self-hosting and initial setup, potentially a barrier for non-technical users.
  • Lack of detailed public pricing for potential premium features beyond the free, open-source core.
  • Reliance on browser-based storage for credentials might be less robust for enterprise-level deployments without additional security layers.
  • Community support might be the primary channel for troubleshooting, without dedicated enterprise-level customer service.
  • Performance and scalability are dependent on the user's local hardware and internet connection for self-hosted instances.

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ai.diy vs Competitors

ai.diy distinguishes itself in the AI workspace market through its open-source nature, self-hosting capability, and local-first security model. These attributes offer a different value proposition compared to many proprietary, cloud-based AI tools.

1

Adalo

No-code platform for building mobile and web apps with drag-and-drop interface, similar to AI.DIY's rapid app creation.

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2

Bubble

Powerful no-code platform for building web and mobile apps, offering extensive customization and integrations without code.

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3

AppGyver (SAP Build Apps)

No-code platform for building sophisticated mobile and web applications with backend integration, similar to AI.DIY's features.

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