# Open WebUI vs RLAMA Open WebUI records 804,534 monthly visits with -2.8% month-over-month growth and Freemium pricing. RLAMA records 0 monthly visits with -100% growth and Freemium pricing. | Metric | [Open WebUI](https://openaitools.app/tool/open-webui) | [RLAMA](https://openaitools.app/tool/rlama) | | :--- | :--- | :--- | | Website URL | https://openwebui.com | https://rlama.dev | | Categories | Large Language Models (LLMs), AI Chatbot, Open Source AI Models, AI Developer Tools | AI Assistant, AI Answer, AI Agent, Large Language Models (LLMs) | | Pricing Model | Freemium | Freemium | | Monthly Visits | 804,534 | 0 | | MoM Growth Rate | -2.8% | -100% | | Primary Market | United States | Global | | Direct Visits | 299,835 | 0 | | Review Score | 4.4 | 4.5 | | Saved Count | 0 | 0 | | Supported Platforms | Website | Website | ## Open WebUI Open WebUI is an open-source, self-hosted interface for working with AI models. Instead of renting access to a single vendor's chatbot, you run the interface on your own hardware or cloud tenancy, then connect whatever models you want: local runtimes such as Ollama, OpenAI-compatible endpoints, Anthropic, or a mix of local and remote. Everything a team produces — conversations, prompts, models, skills and tools — stays in an environment you administer. The platform has grown well beyond a chat window. Retrieval-augmented generation, web search, document understanding, voice input and output, and vision are built in, and Python tools, functions and pipelines let developers script custom behaviour and share it. On the operations side it offers enterprise features such as SSO, role-based access control, audit logs, data residency options, and on-premises, hybrid or fully air-gapped deployment for regulated environments. White-labeling and custom branding are also available for organizations that want their own look. Open WebUI is distributed free of charge under an open-source license and can be installed with a single pip or Docker command, with no account required to get running. A separate enterprise offering is available for organizations that want commercial support, compliance guarantees and managed rollout help, which is quoted on contact. A large community maintains a public hub of prompts, models, tools and functions, so much of what teams need is already shared and ready to install. **Pricing & Plans:** The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. - **Any Model, Any Endpoint:** Connect local runtimes like Ollama alongside OpenAI-compatible and Anthropic APIs, and switch between them inside one interface. - **Retrieval and Search Built In:** RAG over your own documents, web search and citation-aware answers come standard, so responses are grounded in real sources. - **Python Tools, Functions and Pipelines:** Extend the platform with Python code to add custom tooling, preprocessing, and multi-step pipelines, then share them with others. - **Enterprise Controls:** SSO, RBAC, audit logs, data residency, and on-premises, hybrid or air-gapped deployment for organisations with strict requirements. - **Community Hub:** Browse and install prompts, models, skills and tools contributed by hundreds of thousands of community members. **Strengths:** Free and open source with no account needed to install; Works with local and cloud models through a single interface; Strong privacy posture: your data and models stay on your infrastructure; Extensive enterprise features including SSO, RBAC and audit logs **Limitations:** Self-hosting requires you to handle servers, updates and backups; Some enterprise capabilities and support sit behind a paid, quote-based tier; Feature depth means a learning curve for non-technical administrators; Local model performance depends heavily on your own hardware [Profile (Markdown)](https://openaitools.app/tool/open-webui.md) ## RLAMA RLAMA started as a focused tool for turning a folder of documents into a queryable knowledge base from the shell. You point it at a directory, choose an embedding model, and RLAMA chunks, embeds and stores your files, then lets you run interactive chat sessions against the resulting RAG system. It supports plain text and Markdown as well as PDFs and common structured formats, and processes everything locally by default. The project has since grown into a broader agent platform. Beyond RAG creation you can define agents with roles and tool access (RAG search, web search, code execution), then orchestrate them as crews using sequential, parallel or hierarchical workflows. A watch mode keeps a RAG index in sync as files change, and an HTTP API server lets other applications query your systems programmatically. For people who prefer not to live in a terminal, RLAMA also offers a visual RAG builder that generates the equivalent command for you. The maintainers note that active development is currently paused while they balance full-time work and university studies, but the released CLI, documentation and installation packages remain available for macOS, Linux and Windows. **Pricing & Plans:** Free and open source to install from the project site, with an optional RLAMA-Pro tier announced on the homepage. Model inference itself depends on your local Ollama setup or on your own OpenAI/Hugging Face API credentials, which are billed by those providers. - **Local RAG pipelines:** Index folders of .txt, .md, .html, .pdf and other documents into searchable RAG systems with configurable semantic chunking strategies, stored and processed entirely on your machine. - **AI agents with tools:** Create specialized agents by role — researcher, writer, coder, analyst and more — and equip them with RAG search, web search or code execution. - **Multi-agent crews:** Combine agents into crews that collaborate through sequential, parallel or hierarchical workflows for multi-step automation tasks. - **Visual RAG builder:** Configure model, sources, exclusions and chunking settings in a browser interface and let RLAMA generate the matching CLI command for you. - **Automation and integration:** Watch a directory for new documents, sync incrementally, and expose any RAG or agent through the built-in HTTP API server on a port of your choosing. **Strengths:** Fully local processing keeps documents private by default; Combines RAG and multi-agent orchestration in one CLI; Cross-platform installers for macOS, Linux and Windows; Visual builder lowers the barrier for users who avoid the terminal **Limitations:** Homepage states active development is currently paused; Requires a working local model runtime such as Ollama for the best experience; Command-line first, so non-technical users may find setup fiddly [Profile (Markdown)](https://openaitools.app/tool/rlama.md) ## Frequently Asked Questions ### How do Open WebUI and RLAMA compare in monthly traffic? Open WebUI has 804,534 monthly visits, while RLAMA has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Open WebUI has a month-over-month growth rate of -2.8%; RLAMA has -100%. ### How does pricing compare? Open WebUI: Freemium. The core platform is free and open source, installable via pip or Docker with no account required. An enterprise tier with support, compliance and deployment assistance is quoted on contact. RLAMA: Freemium. Free and open source to install from the project site, with an optional RLAMA-Pro tier announced on the homepage. Model inference itself depends on your local Ollama setup or on your own OpenAI/Hugging Face API credentials, which are billed by those providers. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [DeepSeek](https://openaitools.app/tool/deepseek) | 372,761,591 | +4.3% | Freemium | High-efficiency open-weight and hosted reasoning AI powered by DeepSeek-V4 and R1 at ultra-low token costs. | [.md](https://openaitools.app/tool/deepseek.md) | | 2 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Run and build with open AI models locally or in the cloud | [.md](https://openaitools.app/tool/ollama.md) | | 3 | [n8n](https://openaitools.app/tool/n8n) | 4,522,449 | -7.4% | Freemium | Open-source workflow automation built for AI agents and technical teams | [.md](https://openaitools.app/tool/n8n.md) | | 4 | [Hermes-Agent](https://openaitools.app/tool/hermes-agent-1) | 3,638,741 | -5.4% | Freemium | A free, open-source personal AI agent that learns your projects and works across every messaging app. | [.md](https://openaitools.app/tool/hermes-agent-1.md) | | 5 | [Clawdbot (OpenClaw)](https://openaitools.app/tool/clawdbot) | 1,903,068 | -25.4% | Paid, Free | Open-source personal AI assistant that runs on your own machine and works from chat apps | [.md](https://openaitools.app/tool/clawdbot.md) | | 6 | [Dify](https://openaitools.app/tool/dify-ai) | 819,691 | -15% | Freemium | Build, deploy, and govern production-ready agentic AI workflows | [.md](https://openaitools.app/tool/dify-ai.md) | | 7 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Focuses on collaborative team AI workspaces and plugins, but shares similar open-source architectural goals. | [.md](https://openaitools.app/tool/lobehub.md) | | 8 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Own your intelligence: a private AI assistant that runs entirely on your machine | [.md](https://openaitools.app/tool/anythingllm.md) | | 9 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Turn any document into AI-ready context with agentic parsing and extraction | [.md](https://openaitools.app/tool/llamaindex.md) | | 10 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Offers robust multi-provider support and advanced user permission management, but has a slightly different configuration setup. | [.md](https://openaitools.app/tool/librechat.md) | --- Source: https://openaitools.app/compare/open-webui-vs-rlama More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)