# AnythingLLM vs Jan

AnythingLLM records 512,269 monthly visits with +12.9% month-over-month growth and Freemium pricing. Jan records 291,894 monthly visits with -9.6% growth and Free pricing.

| Metric | [AnythingLLM](https://openaitools.app/tool/anythingllm) | [Jan](https://openaitools.app/tool/jan) |
| :--- | :--- | :--- |
| Website URL | https://anythingllm.com | https://jan.ai |
| Categories | Large Language Models (LLMs), AI Chatbot, AI Agent, AI Assistant | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) |
| Pricing Model | Freemium | Free |
| Monthly Visits | 512,269 | 291,894 |
| MoM Growth Rate | +12.9% | -9.6% |
| Primary Market | United States | United States |
| Direct Visits | 200,729 | 105,615 |
| Review Score | 4.7 | 4.6 |
| Saved Count | 3 | 6 |
| Supported Platforms | Website | Website |

## AnythingLLM

AnythingLLM is a private AI assistant designed around a single idea: you shouldn't rent your own intelligence. It runs on your laptop, desktop or a server you control, giving you a chat and agent workspace with document knowledge, web search, background jobs and custom skills — with no account, no mandatory API keys and no token meter running in the background. After downloading a single installer you pick a model, either one bundled locally or one auto-recommended for your hardware, and start working in a few clicks.

Its standout capability is a fully on-device Meeting Assistant. It listens to calls locally, transcribes them, and produces summaries, action items and key decisions without a bot joining the meeting and without sending audio to a cloud service. Combined with document knowledge and background jobs, that turns meeting context into searchable material that later chats and agents can draw on. A Magic dictation feature works in the other direction, refining speech into text in real time while staying aware of what's on screen.

The project is open source under the MIT license, with a large contributor community and millions of downloads, and it scales from a single desktop install to a self-hosted multi-user deployment on your own servers. AnythingLLM's product line now spans the desktop app, an Android app that runs small models on-device and pairs with your desktop, and a hosted cloud option for teams that prefer not to manage infrastructure.

**Pricing & Plans:** The desktop app is free to download and use, with no account required. Open-source and MIT licensed, and free for organizational self-hosting; a hosted cloud option is available for teams.

- **Local document knowledge:** Drop files, notes or sites into a workspace and every document becomes part of the agent's knowledge base without leaving your device.
- **On-device meeting assistant:** Records, transcribes and summarizes any meeting locally, delivering action items, key decisions and full transcripts when the call ends.
- **Bring any model:** Run bundled local models or connect cloud and API providers, and switch between them per workspace or take advantage of dynamic model selection.
- **Background jobs and skills:** Schedule recurring work and define custom agent skills so routine tasks run themselves.
- **Developer-friendly and open:** MIT-licensed with a desktop app, Android app, cloud offering and self-hosted multi-user deployment via Docker or your own infrastructure.

**Strengths:** Free and open source under the MIT license, with no mandatory accounts or API keys; Meeting transcription and summarization run entirely on your machine, with no bot joining calls; Works with local models and virtually any external LLM provider; Scales from a single desktop install to self-hosted multi-user deployments

**Limitations:** Local models can be slower or less capable than the largest hosted frontier models; Running strong models on-device needs reasonably capable hardware; Self-hosted multi-user administration is more work than a simple SaaS signup

[Profile (Markdown)](https://openaitools.app/tool/anythingllm.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 AnythingLLM and Jan compare in monthly traffic?

AnythingLLM has 512,269 monthly visits, while Jan has 291,894. Traffic estimates describe audience size, not product quality.

### How do their growth rates compare?

AnythingLLM has a month-over-month growth rate of +12.9%; Jan has -9.6%.

### How does pricing compare?

AnythingLLM: Freemium. The desktop app is free to download and use, with no account required. Open-source and MIT licensed, and free for organizational self-hosting; a hosted cloud option is available for teams. 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 | [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) |
| 2 | [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) |
| 3 | [LobeHub](https://openaitools.app/tool/lobehub) | 654,548 | -25% | Freemium | Features a highly customizable agent and plugin workspace, but is less focused on traditional local document RAG workflows. | [.md](https://openaitools.app/tool/lobehub.md) |
| 4 | [LlamaIndex](https://openaitools.app/tool/llamaindex) | 387,910 | +19.9% | Freemium, Contact for Pricing | Offers advanced developer frameworks for custom RAG pipelines, but lacks AnythingLLM's ready-to-use user-facing chat application interface. | [.md](https://openaitools.app/tool/llamaindex.md) |
| 5 | [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) |
| 6 | [Dyad](https://openaitools.app/tool/dyad) | 207,981 | +3.5% | Freemium | Free, open-source AI app builder that runs on your own machine | [.md](https://openaitools.app/tool/dyad.md) |
| 7 | [Meetily AI](https://openaitools.app/tool/meetily-ai) | 99,061 | -2% | Freemium, Free Trial, Contact for Pricing | Specializes in local audio transcription and meeting summaries, but lacks AnythingLLM's broad general-purpose document RAG capabilities. | [.md](https://openaitools.app/tool/meetily-ai.md) |
| 8 | [Lemonade](https://openaitools.app/tool/lemonade-ai) | 96,232 | -34.4% | Free | Acts as an open-source local AI server supporting multimodal models, though it is less established as a desktop client. | [.md](https://openaitools.app/tool/lemonade-ai.md) |
| 9 | [QwenPaw](https://openaitools.app/tool/qwenpaw) | 74,893 | +4% | Freemium, Paid, Free | Provides local personal agent workflows and messaging integrations, but has a less established document workspace interface. | [.md](https://openaitools.app/tool/qwenpaw.md) |
| 10 | [Open Interpreter](https://openaitools.app/tool/open-interpreter) | 57,487 | -29% | Free | Open-source coding agent built for low-cost, open-weight language models | [.md](https://openaitools.app/tool/open-interpreter.md) |

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Source: https://openaitools.app/compare/anythingllm-vs-jan

More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)