Animation via tick. Wave-based parameter modulation, Math operations with Unary and Binary support, universal Value conversion for all major types (int, string, list, dict, Image, Mask), shape masking, image channel ops, batch processing, dynamic bus routing. Queue & Load from URLs.

The local-first sidebar AI agent for ComfyUI — runs on your own Claude OR ChatGPT subscription (no API keys, no extra LLM costs). Drives your live graph: edits, workflows & installs in natural language. The panel UI for comfyui-mcp, the agent-native control plane for ComfyUI.

This is a visual editor for langgraph workflow. It helps to quickly design and debug the workflow from scratch.

Zihuan is a high-performance, highly customizable Rust-based AI Agent platform. Zihuan Impls a interesting Workspace Agent (zihuan code for coding) and an IM Agent (QQ bots, etc.)

ComfyUI-MagnifyGlass: A powerful & customizable magnifying glass for ComfyUI. Zoom into canvas details with smooth controls, configurable activation, custom styles (shape, size, border) & WebGL performance.

A React application to inspect ComfyUI workflow metadata embedded in PNG, WebP, MP4, FLAC, and JSON files.

Alt+H spotlight for ComfyUI — hide or dim every link that doesn't touch the selected node. Declutter spaghetti workflows with one remappable shortcut. Frontend-only, zero nodes, zero dependencies.

Pipes for MarkLogic DataHub is visual programming tool for MarkLogic Data Hub. It integrates with MarkLogic's Datahub and produces custom code step(s) using a no-code UI environment.

A Litegraph.js implementation in C++. It only supports the execution of nodes created using LiteGraph.JS

This service integrates Python node invocation with TypeScript and litegraph.js, offering easy setup and ComfyUI compatibility. It simplifies Python script execution in node-based systems, ideal for efficient and user-friendly node management.

flask and litegraph.js

Svelte wrapper for litegraph.js to handle multiple files and history

Conversion of litegraph.js to Typescript

A lightweight, python implementation of the **LiteGraph**‑based workflow loader used by **ComfyUI**. It focuses solely on the data model needed to read a ComfyUI workflow generated by the JavaScript LiteGraph library and convert it to the ComfyAPI prompt format.

Graph repository implementations for the LiteGraph library, providing persistent storage backends for graph data structures.

Generate dynamic and callable Litegraph nodes from OpenAPI specifications, enabling seamless API integration in a visual programming environment.