Open-source tools, connectors, and functions for Open WebUI — ChatGPT-style self-hosted UI for local LLMs (Ollama, LM Studio, vLLM). Ranked by stars and community adoption.
Open WebUI Integrations tools are AI-powered software designed to help developers and teams tackle open webui integrations-related tasks more efficiently. These tools are typically published as open-source projects on GitHub and can be integrated into existing workflows via MCP (Model Context Protocol), Claude Skills, or standalone agent frameworks. On Agent Skills Hub, we index 25 quality-scored open webui integrations tools across languages including Python, JavaScript, TypeScript.
In 2026, the AI agent ecosystem is maturing rapidly. Open WebUI Integrations tools can significantly boost development efficiency by automating repetitive tasks, reducing human error, and providing intelligent suggestions. The top 3 tools — SuperPowersWUI, openwebui-extensions, open-webui-tools — have earned an average of 6,849 GitHub stars, reflecting strong community validation. 20 of the listed tools come with clear open-source licenses, ensuring freedom to use and modify.
When choosing a open webui integrations tool, consider these factors: 1) Community activity — GitHub stars and recent commit frequency indicate reliability; 2) Integration method — check if it supports MCP, Claude, or your preferred agent framework; 3) Language compatibility — the most common language in this list is Python; 4) Quality score — Agent Skills Hub's composite score evaluates code quality, documentation completeness, and maintenance activity. Our recommendation: start with SuperPowersWUI — it ranks highest in both star count and quality score.
Open WebUI tool port of Superpowers by Jesse Vincent — brainstorm → spec → plan → execute agentic dev workflow for local LLMs
A collection of enhancements, plugins, and prompts for Open WebUI, developed and curated for personal use to extend functionality and improve experience.
Open‑WebUI Tools is a modular toolkit designed to extend and enrich your Open WebUI instance, turning it into a powerful AI workstation. With a suite of over 15 specialized tools, function pipelines, and filters, this project supports academic research, agentic autonomy, multimodal creativity, workflows, and more
Custom tools to enhance your Open-Webui Experience! 🚀
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
A curated collection of Open WebUI plugins - tools, skills, filters, pipes, and actions that extend your AI chat experience.
MCP server that saves Claude Code tokens by delegating bounded tasks to local or cloud LLMs. Works with LM Studio, Ollama, vLLM, DeepSeek, Groq, Cerebras.
~95% on SimpleQA (e.g. Qwen3.6-27B on a 3090). Supports all local and cloud LLMs (llama.cpp, Ollama, Google, ...). 10+ search engines - arXiv, PubMed, your private documents. Everything Local & Encrypted.
From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration with MCP and live tracing. Three runtime dependencies.
From a goal to a task DAG, automatically. TypeScript-native multi-agent orchestration with MCP and live tracing. Three runtime dependencies.
MCP Aggregator, Orchestrator, Middleware, Gateway in one docker
OpenYak — open-source local AI agent for Windows, macOS, and Linux. A private, BYOK alternative to Claude Code, Claude for Work, and OpenAI Codex with 20+ tools, 100+ models via OpenRouter, MCP, and Ollama. Free, MIT-licensed, no telemetry.
A text-based user interface (TUI) client for interacting with MCP servers using Ollama. Features include agent mode, multi-server, model switching, streaming responses, tool management, human-in-the-loop, thinking mode, model params config, MCP prompts, custom system prompt and saved preferences. Built for developers working with local LLMs.
AI gets the context. Not your secrets. Open-source privacy proxy for LLMs.
A simple, intuitive toolkit for quickly implementing LLM powered applications.
Use MCP and OpenAPI to safely control Proxmox VE VMs, LXCs, backups, and snapshots from LLMs and AI agents.
🐘 Give AI assistants full PostgreSQL DBA superpowers — 30+ tools for performance analysis, bloat detection, lock/deadlock monitoring, autovacuum & schema inspection. No extensions required. PG 12-18.
🤖 Visual AI agent workflow automation platform with local LLM integration - build intelligent workflows using drag-and-drop interface, no cloud dependencies required.
Auto pilot for Claude Code - connect multiple coding agents to a local LLM brain. 🆕 with a hive mind now
The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.
The Mind Palace for AI Agents - HIPAA-hardened Cognitive Architecture with on-device LLM (prism-coder:7b), Hebbian learning, ACT-R spreading activation, adversarial evaluation, persistent memory, multi-agent Hivemind and visual dashboard. Zero API keys required.
| Tool | Stars | Language | License | Score |
|---|---|---|---|---|
| SuperPowersWUI | ★ 54 | Python | MIT | 46 |
| openwebui-extensions | ★ 207 | Python | MIT | 37 |
| open-webui-tools | ★ 698 | Python | MIT | 40 |
| OpenWebui-Tools | ★ 95 | Python | MIT | 42 |
| open-webui | ★ 137.1k | Python | — | 58 |
| open-webui-plugins | ★ 347 | Python | BSD-3-Clause | 38 |
| houtini-lm | ★ 71 | JavaScript | MIT | 48 |
| local-deep-research | ★ 7.6k | Python | MIT | 47 |
| open-multi-agent | ★ 6.1k | TypeScript | MIT | 50 |
| open-multi-agent | ★ 6.1k | TypeScript | MIT | 48 |
| mcpo | ★ 4.0k | Python | MIT | 47 |
| open-terminal | ★ 2.3k | Python | MIT | 51 |
| metamcp | ★ 2.1k | TypeScript | MIT | 37 |
| little-coder | ★ 1.0k | TypeScript | Apache-2.0 | 51 |
| openyak | ★ 783 | Python | MIT | 41 |
| mcp-client-for-ollama | ★ 698 | Python | MIT | 45 |
| pasteguard | ★ 628 | TypeScript | Apache-2.0 | 40 |
| llm-axe | ★ 275 | Python | MIT | 37 |
| ProxmoxMCP-Plus | ★ 187 | Python | MIT | 47 |
| MCP-PostgreSQL-Ops | ★ 148 | Python | MIT | 50 |
| agentic-signal | ★ 149 | TypeScript | — | 38 |
| claudectl | ★ 150 | Rust | MIT | 37 |
| roampal | ★ 120 | Python | — | 43 |
| prism-mcp | ★ 131 | TypeScript | — | 37 |
| prism-coder | ★ 132 | TypeScript | — | 36 |
The top open webui integrations in 2026 are SuperPowersWUI, openwebui-extensions, open-webui-tools. Agent Skills Hub ranks 25 options by GitHub stars, quality score (6 dimensions including completeness, examples, and agent readiness), and recent activity. The list is rebuilt every 8 hours from live GitHub data.
SuperPowersWUI (54 stars) is the most adopted choice for general open webui integrations workflows, written in Python. openwebui-extensions (207 stars) is a strong alternative. Pick by your existing stack: match the language and runtime your team already uses to minimize integration cost. If unsure, start with SuperPowersWUI — it has the deepest community and the most examples online.
Avoid pre-built open webui integrations when (1) your use case requires deep customization that the tool's plugin system doesn't support, (2) you have strict compliance requirements that ban third-party dependencies, (3) the tool's maintenance is inactive (last commit >6 months ago), or (4) your data volume is small enough that a 50-line custom script is cheaper than learning the tool. For most production workflows above 100 requests/day, the time savings from a maintained tool outweigh the customization loss.
Open WebUI Integrations focuses specifically on open-source tools, connectors, and functions for open webui — chatgpt-style self-hosted ui for local llms (ollama, lm studio, vllm). ranked by stars and community adoption. Free MCP Servers is a related but distinct category — see https://agentskillshub.top/best/free-mcp-servers/ for those tools. The two often appear in the same agent pipeline but solve different problems: choose open webui integrations when your primary goal is the specific task, and free mcp servers when the workflow is broader.
For most teams, yes. SuperPowersWUI has 54 stars worth of community testing, handles edge cases you haven't thought of, and ships with documentation. Build your own only when (1) your requirements are deeply non-standard, (2) you have a security/compliance reason to avoid OSS dependencies, or (3) the maintenance burden is small enough (<200 lines of code) that you'll save time long-term. The break-even point is usually around 2-3 weeks of dev time saved.
Most open webui integrations listed are open source under permissive licenses (MIT, Apache 2.0). A handful offer paid managed/cloud versions on top of free self-hosted core. Always check the LICENSE file on each tool's GitHub repository before commercial use — some use AGPL or non-commercial restrictions that may not fit your deployment model.