# Jan vs Ncurator Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Ncurator records 0 monthly visits with 0% growth and Free pricing. | Metric | [Jan](https://openaitools.app/tool/jan) | [Ncurator](https://openaitools.app/tool/ncurator) | | :--- | :--- | :--- | | Website URL | https://jan.ai | https://ncurator.com | | Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Knowledge Base, AI Assistant, AI Knowledge Management, AI Answer | | Pricing Model | Free | Free | | Monthly Visits | 291,894 | 0 | | MoM Growth Rate | -9.6% | 0% | | Primary Market | United States | Global | | Direct Visits | 105,615 | 0 | | Review Score | 4.6 | 4.5 | | Saved Count | 6 | 0 | | Supported Platforms | Website | Website | ## 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) ## Ncurator Ncurator bills itself as an AI work partner rather than a chat window. Instead of pasting text into a browser chatbot, you describe the outcome you want — for example, drafting a weekly business report — and the app plans and carries out the steps, pulling from documents stored on your own machine. Supported file types include DOCX, PDF, XLSX and PPTX, and it can also search the web and read your browser bookmarks when a task needs outside information. A central feature is the local knowledge base. Your material stays on your device and is used to ground answers, so the assistant can reference your own contracts, notes and spreadsheets instead of generic web content. Ncurator also leans heavily on token efficiency: it reuses cached input across repeated tasks so much of the input can be billed at a provider's cheaper cache-hit rate, and a local knowledge base reduces how much context has to be sent at all. The tool works with the models you already pay for, and the developer takes no cut on usage — you pay your AI provider directly. Built-in review and preview modes let you inspect what the AI changed before you accept an edit, which matters for document-heavy work. The app is developed by an independent maker and ships in English and Chinese. **Pricing & Plans:** The application is free to download. You bring your own AI provider API key and pay that provider directly for tokens; there are no mandatory credit bundles. Pricing shown in screenshots is illustrative provider pricing, not a Ncurator subscription. - **Local knowledge base:** Ground answers in documents stored on your own machine so the assistant works with your material instead of only public web content. - **Agentic multi-step tasks:** Set a goal and Ncurator plans the steps, then carries them out across files, the web and your knowledge base. - **Office document support:** Read and edit DOCX, PDF, XLSX and PPTX files, with Preview and Review modes to check what changed. - **Token-efficient caching:** Reuses cached input across repeated tasks so much of the prompt can be billed at a provider's discounted cache-hit rate. - **Bring your own model:** Connect your preferred AI provider and pay per token directly, with no markup and no forced credit bundles. **Strengths:** Free desktop app with no mandatory credit bundles or usage markup; Local knowledge base keeps source material on your own machine; Handles DOCX, PDF, XLSX and PPTX plus web search and bookmarks; Cache-aware design can meaningfully cut per-task token cost **Limitations:** You must supply and pay for your own AI provider API key; No dedicated pricing page on the site, so plan details live in the app and docs; Requires a browser extension for some abilities such as bookmark access [Profile (Markdown)](https://openaitools.app/tool/ncurator.md) ## Frequently Asked Questions ### How do Jan and Ncurator compare in monthly traffic? Jan has 291,894 monthly visits, while Ncurator has 0. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Jan has a month-over-month growth rate of -9.6%; Ncurator has 0%. ### How does pricing compare? 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. Ncurator: Free. The application is free to download. You bring your own AI provider API key and pay that provider directly for tokens; there are no mandatory credit bundles. Pricing shown in screenshots is illustrative provider pricing, not a Ncurator subscription. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Notion](https://openaitools.app/tool/t) | 173,441,670 | +0.1% | Freemium | The AI workspace where teams and agents get work done together | [.md](https://openaitools.app/tool/t.md) | | 2 | [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) | | 3 | [WorkBuddy](https://openaitools.app/tool/workbuddy) | 2,341,262 | +43.9% | Freemium | An AI work partner that turns a sentence into finished office deliverables | [.md](https://openaitools.app/tool/workbuddy.md) | | 4 | [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) | | 5 | [ima.copilot](https://openaitools.app/tool/ima-copilot) | 915,949 | -14.8% | Freemium | Tencent's AI knowledge steward for searching, reading, writing, and managing your own knowledge base. | [.md](https://openaitools.app/tool/ima-copilot.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 | [Craft](https://openaitools.app/tool/craft-do) | 703,417 | +8.9% | Freemium | A polished space for notes, tasks, and documents that follows you across every device. | [.md](https://openaitools.app/tool/craft-do.md) | | 8 | [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) | | 9 | [DocsBot AI](https://openaitools.app/tool/docsbot-ai) | 495,278 | -3.8% | Freemium | Custom AI agents trained on your documentation and knowledge base | [.md](https://openaitools.app/tool/docsbot-ai.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/jan-vs-ncurator More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)