# Anse vs Jan Anse records 0 monthly visits with 0% month-over-month growth and Free, Open Source pricing. Jan records 291,894 monthly visits with -9.6% growth and Free pricing. | Metric | [Anse](https://openaitools.app/tool/anse) | [Jan](https://openaitools.app/tool/jan) | | :--- | :--- | :--- | | Website URL | https://anse.app | https://jan.ai | | Categories | AI Answer, AI API, AI Chatbot, Large Language Models (LLMs) | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | | Pricing Model | Free, Open Source | Free | | Monthly Visits | 0 | 291,894 | | MoM Growth Rate | 0% | -9.6% | | Primary Market | Global | United States | | Direct Visits | 0 | 105,615 | | Review Score | 4.6 | 4.6 | | Saved Count | 2 | 6 | | Supported Platforms | Website | Website | ## Anse Anse is an open-source chat front end built for people who want a polished AI chat experience without being locked to a single vendor. Instead of shipping its own model, it acts as a flexible interface that you point at the AI provider of your choice. OpenAI, Azure OpenAI, Google Gemini, and Replicate are supported out of the box, and a plugin-based provider system makes it straightforward to add others or expose custom model parameters. A defining design choice is how it handles data. Conversations are stored locally in your browser using IndexedDB and are not sent to Anse's servers, which keeps session history under your control. The UI itself covers practical chat workflows: single and continuous conversation modes, image generation through OpenAI, and Stable Diffusion through Replicate, plus keyboard shortcuts and a refined layout that works on mobile and includes a dark mode. Because Anse is designed to be self-hosted, deployment is a first-class feature. The documentation walks through running it on Vercel, Netlify, Railway, Docker, and Node, and environment variables have been replaced with a simpler configuration approach. For developers and tinkerers who want an elegant chat UI over their own API keys, Anse is a capable, permissive option. **Pricing & Plans:** Anse is free and open source. You can self-host it at no license cost, and you only pay the underlying AI providers for the API usage you generate with your own keys. - **Multi-provider support:** Connect OpenAI, Azure OpenAI, Google Gemini, and Replicate through a provider plugin system that is easy to extend. - **Local session storage:** Conversations are saved to your browser with IndexedDB rather than being uploaded to a server. - **Multiple conversation modes:** Single conversation, continuous conversation, OpenAI image generation, and Stable Diffusion modes are built in. - **Refined, responsive UI:** A refreshed interface with mobile support and dark mode, tuned for everyday chat use. - **One-click self-deployment:** Deploy your own instance to Vercel, Netlify, Railway, Docker, or Node following the documentation. **Strengths:** Open source and free to self-host; Works with OpenAI, Azure OpenAI, Google Gemini, and Replicate; Conversation history stays local in your browser via IndexedDB; Multiple chat and image generation modes included **Limitations:** You must supply your own API keys, so there is no all-in-one hosted subscription; Being a self-hostable UI, features depend on which provider you configure; Advanced configuration may feel technical for non-developers [Profile (Markdown)](https://openaitools.app/tool/anse.md) ## Jan Jan is a desktop application that positions itself as an open replacement for ChatGPT, with the key difference that inference happens on hardware you control. After installing the app you pick a model, and Jan downloads and runs it locally, so prompts, chat history, and files stay on your machine rather than on someone else's server. For heavier workloads you can connect an OpenAI, Anthropic, Gemini, or Mistral key and route requests to the cloud while keeping the same chat interface and local history. The project is developed in the open by Menlo Research and has accumulated tens of thousands of GitHub stars along with millions of downloads. It exposes OpenAI-compatible local endpoints, which means existing tooling and SDKs can point at Jan instead of a hosted service, and it supports custom assistants with their own instructions and model choices. Recent releases have added an agent surface alongside the classic desktop chat, and a memory feature is announced as coming to carry context and preferences between sessions. Because it is open source, Jan can be audited, self-built, and extended, and there is no paid tier gating the desktop client. The practical tradeoff is that local model quality and speed depend entirely on your own GPU or CPU, so lighter machines will favor smaller quantized models while cloud keys remain the escape hatch for harder tasks. **Pricing & Plans:** Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. - **Local-first inference:** Download and run open models such as Llama, Mistral, Qwen, Gemma, and DeepSeek directly on your own machine, with chat data kept on device. - **Bring your own cloud models:** Optionally connect API keys for OpenAI, Anthropic, Gemini, Mistral, and other providers to route requests to frontier models from the same interface. - **OpenAI-compatible local API:** Jan exposes a local server endpoint that follows the OpenAI API shape, so existing SDKs and tools can talk to your local models without code changes. - **Custom assistants:** Create assistants with their own system instructions, model selection, and parameters, then reuse them across conversations. - **Open source and extensible:** The full desktop client and agent code are public on GitHub, so you can audit behavior, build your own version, and contribute improvements. **Strengths:** Completely free and open source, with no account required to run local models; Conversation data stays on your device by default; Works across macOS, Windows, and Linux with an OpenAI-compatible local endpoint; Optional cloud key support lets you mix local and frontier models in one app **Limitations:** Local model quality and speed are capped by your own hardware; Very large models may need substantial RAM or VRAM to be practical; Some cloud-connected and memory features are newer or still rolling out [Profile (Markdown)](https://openaitools.app/tool/jan.md) ## Frequently Asked Questions ### How do Anse and Jan compare in monthly traffic? Anse has 0 monthly visits, while Jan has 291,894. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Anse has a month-over-month growth rate of 0%; Jan has -9.6%. ### How does pricing compare? Anse: Free, Open Source. Anse is free and open source. You can self-host it at no license cost, and you only pay the underlying AI providers for the API usage you generate with your own keys. Jan: Free. Jan is free and open source, with no paid tier for the desktop app. Costs only appear if you optionally connect your own paid cloud API keys for providers such as OpenAI or Anthropic. ## 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 | [Perplexity](https://openaitools.app/tool/perplexity-ai) | 88,310,223 | -3.7% | Freemium | Real-time AI answer engine and research workspace combining live web citations with frontier reasoning models. | [.md](https://openaitools.app/tool/perplexity-ai.md) | | 3 | [Ollama](https://openaitools.app/tool/ollama) | 9,421,973 | +4.3% | Free, Freemium, Paid | Provides a lightweight command-line runtime for local LLMs, though it lacks Jan's built-in graphical user interface. | [.md](https://openaitools.app/tool/ollama.md) | | 4 | [Chatbot App](https://openaitools.app/tool/chatbot-app) | 2,170,883 | -9.7% | Freemium | Chat with 30+ leading AI models in one clean, fast workspace | [.md](https://openaitools.app/tool/chatbot-app.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 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Offers a powerful self-hosted web interface for local models, but requires manual Docker setup rather than desktop installation. | [.md](https://openaitools.app/tool/open-webui.md) | | 7 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Put always-on AI agents on your team chat | [.md](https://openaitools.app/tool/lobehub.md) | | 8 | [Magisterium AI](https://openaitools.app/tool/magisterium-ai) | 639,839 | +2.3% | Freemium | Catholic answer engine grounded in 30,000+ cited sources | [.md](https://openaitools.app/tool/magisterium-ai.md) | | 9 | [AnythingLLM](https://openaitools.app/tool/anythingllm) | 512,269 | +12.9% | Freemium | Specializes in document chat and local RAG workflows, though less focused on general-purpose model tinkering than Jan. | [.md](https://openaitools.app/tool/anythingllm.md) | | 10 | [LibreChat](https://openaitools.app/tool/librechat) | 346,879 | -3.5% | Free | Unites multiple AI providers in a customizable open-source platform, but is typically deployed as a web server. | [.md](https://openaitools.app/tool/librechat.md) | --- Source: https://openaitools.app/compare/anse-vs-jan More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)