# Jan vs Msgmate.io

Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Msgmate.io records 0 monthly visits with 0% growth and Paid pricing.

| Metric | [Jan](https://openaitools.app/tool/jan) | [Msgmate.io](https://openaitools.app/tool/msgmate-io) |
| :--- | :--- | :--- |
| Website URL | https://jan.ai | https://msgmate.io |
| Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Chatbot, AI API, AI Assistant, Large Language Models (LLMs) |
| Pricing Model | Free | Paid |
| 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 | 4.3 |
| Saved Count | 6 | 3 |
| 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)

## Msgmate.io

Msgmate.io now presents itself as the home of Open-Chat Go, a self-hostable chat platform developed by TBS. The stack combines a Go backend, a React frontend and an asynchronous worker queue, with a documented public surface made up of REST and WebSocket APIs, a chat and interaction model, bots and agents, a growing library of LLM models and tools, and several supported clients.

The product started out as a configurable ChatGPT-style assistant you could reach from messengers. Today the emphasis is broader and more developer-focused: the same engine powers a federated chat app, an API you can wire into your own products and industrial automation, and a server you can run yourself. The in-browser app shows a specific model - cognitivecomputations/dolphin-2.6-mixtral-8x7b - and the interface is marked as beta.

Because it is open source, much of the value is in the documentation rather than the marketing page. The docs walk through core concepts, the REST API and its auth and shared capability URLs, models and tools, supported clients, self-hosting with server flags and environment variables, the server CLI, and a built-in terminal UI client for chatting with your bot from the command line.

**Pricing & Plans:** Msgmate.io is a paid product in our records. The hosted Open-Chat service is free to try in the browser, while API access, heavier usage and self-hosted deployment of the full platform are oriented around paid plans. Exact tiers are not published publicly - sign up or contact the team for current pricing.

- **Multi-model LLM chat:** Chat with large language models in a federated web app, with the active model shown and selectable - the site currently references cognitivecomputations/dolphin-2.6-mixtral-8x7b.
- **REST and WebSocket APIs:** A REST API and WebSocket interface, plus an interactive OpenAPI reference, let developers build bots, agents and their own clients on top of the platform.
- **Self-hosting:** Because Open-Chat Go is open source and self-hostable, you can run the Go backend, async worker queue and React frontend on your own servers. Docs cover flags, environment variables and deployment.
- **Bots, agents and tools:** Bots and agents add tools and integrations to the base chat experience, so the assistant can do more than plain conversation.
- **Terminal UI client:** A built-in terminal UI lets you chat with your bot from the command line, and the docs cover supported clients beyond the browser.

**Strengths:** Open-source and self-hostable, so you can run the Go backend and React frontend on your own infrastructure; Documented REST and WebSocket APIs with an interactive OpenAPI reference for building bots and clients; Supports multiple LLM models and adds tools and agents on top of basic chat; Extras like a terminal UI client and clear self-hosting docs suit developers and tinkerers

**Limitations:** Public-facing marketing content is thin; much of the product now lives behind login and in developer docs; Self-hosting and API usage assume real developer/DevOps familiarity; The interface is labelled beta, so rough edges and changes are likely; Pricing is not published openly, requiring sign-up or contact before you can budget

[Profile (Markdown)](https://openaitools.app/tool/msgmate-io.md)

## Frequently Asked Questions

### How do Jan and Msgmate.io compare in monthly traffic?

Jan has 291,894 monthly visits, while Msgmate.io 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%; Msgmate.io 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. Msgmate.io: Paid. Msgmate.io is a paid product in our records. The hosted Open-Chat service is free to try in the browser, while API access, heavier usage and self-hosted deployment of the full platform are oriented around paid plans. Exact tiers are not published publicly - sign up or contact the team for current pricing.

## 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 | [Abacus.AI](https://openaitools.app/tool/abacus-ai) | 3,278,636 | -1.7% | Contact for Pricing | An all-in-one AI super assistant for professionals and enterprises | [.md](https://openaitools.app/tool/abacus-ai.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 | [LabEx.io](https://openaitools.app/tool/labex-io) | 1,127,110 | -9.3% | Freemium | Learn Linux, DevOps, and cybersecurity by doing — inside real online labs. | [.md](https://openaitools.app/tool/labex-io.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 | [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) |
| 8 | [MiniMax Agent](https://openaitools.app/tool/minimax-agent) | 679,573 | +2.8% | Freemium | An AI supercompanion that handles tasks, code and creative work end to end | [.md](https://openaitools.app/tool/minimax-agent.md) |
| 9 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/jan-vs-msgmate-io

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