# Jan vs TinyHumans OpenHuman Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. TinyHumans OpenHuman records 19,730 monthly visits with -36.1% growth and Free, Open Source pricing. | Metric | [Jan](https://openaitools.app/tool/jan) | [TinyHumans OpenHuman](https://openaitools.app/tool/tinyhumans) | | :--- | :--- | :--- | | Website URL | https://jan.ai | https://tinyhumans.ai/openhuman | | Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Assistant, AI Chatbot, AI Productivity Tools | | Pricing Model | Free | Free, Open Source | | Monthly Visits | 291,894 | 19,730 | | MoM Growth Rate | -9.6% | -36.1% | | Primary Market | United States | United States | | Direct Visits | 105,615 | 10,183 | | Review Score | 4.6 | 4.4 | | 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) ## TinyHumans OpenHuman OpenHuman is a personal AI that runs as a native desktop app rather than a browser tab. Built by the team at TinyHumans, it is distributed as free, GPL-3.0 open source software for macOS, Windows, and Linux, and its source is available on GitHub. The premise is a personal agent that learns your context over time and can act across the tools you already use, instead of just answering questions in a chat window. Its core is a memory engine that decides what information to keep, how to compress it, and what to surface when an agent needs context. On top of that sits a workflows engine that orchestrates agents to automate tasks you describe, from a single step to multi-agent sequences. OpenHuman connects to a wide range of apps, MCP servers, and skills, giving agents the reach to work across Notion, Gmail, Slack, spreadsheets, and more. Privacy is central to the design: OpenHuman is local-first, meaning the memory it builds lives on your own machine, and because you choose the model provider, running local models keeps everything on your computer. The app uses a single TinyHumans key for managed inference, search, embeddings, and integrations, or you can bring your own providers and API keys. **Pricing & Plans:** OpenHuman is free and open source under GPL-3.0. A TinyHumans key unlocks managed inference, search, and integrations, but you can bring your own providers, including local models, instead. - **Local memory engine:** A memory engine decides what to keep, how to compress it, and what surfaces when an agent needs context, building a personal knowledge base that persists. - **Broad app and MCP integrations:** Connect a broad set of apps, MCP servers, and skills so agents can act across your tools rather than only replying in chat. - **Workflow orchestration:** Describe a simple workflow or build a complex one with multiple agents and steps to automate recurring tasks. - **Local-first and private:** The memory it builds about you lives on your machine, and you can run local models so data never leaves your computer. - **Fast, single-key setup:** A Rust core that starts a turn quickly, with a single TinyHumans key or your own provider keys. **Strengths:** Free and open source under GPL-3.0 with full source on GitHub; Local-first design keeps your memory and data on your machine; Broad integration support for apps, MCP servers, and skills; Bring your own provider, including models that run locally [Profile (Markdown)](https://openaitools.app/tool/tinyhumans.md) ## Frequently Asked Questions ### How do Jan and TinyHumans OpenHuman compare in monthly traffic? Jan has 291,894 monthly visits, while TinyHumans OpenHuman has 19,730. 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%; TinyHumans OpenHuman has -36.1%. ### 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. TinyHumans OpenHuman: Free, Open Source. OpenHuman is free and open source under GPL-3.0. A TinyHumans key unlocks managed inference, search, and integrations, but you can bring your own providers, including local models, instead. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [ChatGPT](https://openaitools.app/tool/chatgpt-4) | 6,048,022,723 | +2.2% | Freemium | OpenAI's flagship multimodal assistant powered by GPT-6 and GPT-5.6 for reasoning, coding, and deep research. | [.md](https://openaitools.app/tool/chatgpt-4.md) | | 2 | [Claude](https://openaitools.app/tool/claude-2) | 1,253,439,413 | +23.8% | Freemium | Anthropic's frontier AI workspace powered by Claude 5.5 for agentic coding, analysis, and nuanced writing. | [.md](https://openaitools.app/tool/claude-2.md) | | 3 | [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) | | 4 | [Kimi AI](https://openaitools.app/tool/kimi-chat) | 19,632,261 | -23.4% | Free | Moonshot AI's long-context assistant for research, coding, and agentic work | [.md](https://openaitools.app/tool/kimi-chat.md) | | 5 | [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) | | 6 | [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) | | 7 | [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) | | 8 | [Open WebUI](https://openaitools.app/tool/open-webui) | 804,534 | -2.8% | Freemium | Self-hosted AI workspace for local and cloud models | [.md](https://openaitools.app/tool/open-webui.md) | | 9 | [Raycast](https://openaitools.app/tool/raycast) | 710,581 | -24.5% | Freemium, Free Trial | An extendable launcher that puts your tools, AI, and automations one keystroke away | [.md](https://openaitools.app/tool/raycast.md) | | 10 | [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) | --- Source: https://openaitools.app/compare/jan-vs-tinyhumans More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)