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Kaydeewrld

kaydeewrld

Automating creativity, search, and productivity with AI workflows.


kaydeewrld is a powerful platform designed for workflow automation using AI models. It supports text generation, image generation, and retrieval-augmented generation, integrating seamlessly with popular AI endpoints including OpenAI, llama.cpp, Apple's MLX LM, Google Gemini, Anthropic Claude, ComfyUI, and MFlux. Additionally, kaydeewrld provides robust semantic search capabilities using PGVector combined with the SEFII (Semantic Embedding Forest with Inverted Index) engine.

Note: kaydeewrld is under active development, and breaking changes are expected. It is NOT production-ready. Contributions are highly encouraged!


Vision Support - Local Models + OpenAI Compatible

Vision Support


Web Search and Retrieval

Web Search

And more!

Prerequisites

Ensure the following software is installed before proceeding:

  • Chrome Browser: Required for web tools. Used as a headless browser and managed by kaydeewrld. WebGPU support should be enabled for text-to-speech to work.
  • Python: Version 3.10 or newer (Download).
  • Docker: Recommended for easy setup of PGVector (Download).

For development, you'll also need:


Quick Start with Pre-built Binaries

The easiest way to get started with kaydeewrld is to download a pre-built binary from the releases page.

  1. Download the appropriate binary for your platform:

    • macOS: kaydeewrld-darwin-universal.zip (Universal binary for both Intel and Apple Silicon)
    • Linux: kaydeewrld-linux-amd64.zip or kaydeewrld-linux-arm64.zip
  2. Extract the zip file and navigate to the extracted directory.

  3. Create a config.yaml file in the same directory as the binary (a template config.yaml.example is included).

  4. Run the binary:

    # On macOS/Linux
    $ chmod +x kaydeewrld-*
    $ ./kaydeewrld-*

About

manifold-master is a versatile AI workflow automation platform that integrates multiple AI models and services for text generation, image creation, and semantic search, designed for easy setup and extensibility.

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