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open-webui-tools

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Basic Information

Open WebUI Tools is a modular collection of ready-made tools, function pipes, and filters designed to extend an Open WebUI installation into a versatile AI workstation. The repository bundles utilities for academic research, web and media search, image and music generation, advanced image editing, autonomous planning, multi-model conversations, resume analysis, and server integrations. It provides plug-and-play scripts and ComfyUI workflows that can be installed from an Open WebUI Hub or copied manually into the Open WebUI workspace. Many tools optionally use external services or model managers such as Hugging Face, Ollama, ComfyUI, Pexels, Perplexica, Mopidy and MCP-compatible Python servers. Configuration is handled via simple valves and optional API keys. The collection targets users who run Open WebUI and want to add domain-specific capabilities, automation pipes and filters without building integrations from scratch.

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App URL
https://github.com/Haervwe/open-webui-tools
Github Repository
https://github.com/Haervwe/open-webui-tools/blob/main/README.md

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App Details

Features
The repository includes over a dozen specialized tools and pipes, including arXiv search, Perplexica web search, Pexels media search, native and Hugging Face image generators, ComfyUI ACE audio, and Flux Kontext image editing. Function pipes include Planner Agent v2 for multi-step autonomous planning, arXiv Research with MCTS, Multi Model Conversations, Resume Analyzer, Mopidy music controller, Letta agent bridge, and an MCP Pipe for Model Context Protocol integration. Filters include a Prompt Enhancer, Semantic Router for automatic model selection, Full Document processing, and a Clean Thinking Tags filter. Features emphasize plug-and-play setup, real-time progress updates, configurable model and temperature valves, optional VRAM management via Ollama, ComfyUI workflow import support, citation and attribution handling, error recovery options and template-based synthesis.
Use Cases
This collection helps Open WebUI users rapidly add capabilities for research, content and media creation, automation and multi-agent workflows. Researchers can search arXiv and perform iterative MCTS research summaries. Creators can generate and edit images and music using ComfyUI and Hugging Face backends, with workflow JSON provided for easy import. The Planner Agent automates complex multi-step tasks with interactive error handling and live progress visualization. The MCP Pipe enables connection to Python-based MCP servers to expose tools and data sources directly to the assistant. Filters improve prompt quality and route requests to appropriate models, while the Full Document filter enables file-aware analysis such as resume review. Installation is available via an Open WebUI Hub or manual file copy, lowering the barrier to deployment.

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