# Jan vs Prisma Assistant

Jan records 291,894 monthly visits with -9.6% month-over-month growth and Free pricing. Prisma Assistant records 0 monthly visits with 0% growth and Free pricing.

| Metric | [Jan](https://openaitools.app/tool/jan) | [Prisma Assistant](https://openaitools.app/tool/prisma-assistant) |
| :--- | :--- | :--- |
| Website URL | https://jan.ai | https://prismaassistant.com |
| Categories | AI Chatbot, AI Assistant, Open Source AI Models, Large Language Models (LLMs) | AI Code Assistant, AI Code Generator, AI Chatbot, AI Assistant |
| 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)

## Prisma Assistant

Prisma Assistant is aimed at developers already using Prisma as their ORM. It reads the schema in your project and exposes a conversational UI where you can ask things like "list all users and include their portfolios" and immediately receive the corresponding TypeScript using Prisma Client. This shortens the loop between thinking about a data question and writing the correct query, which is handy when schemas get large or when you are unfamiliar with the models.

Setup is deliberately lightweight. You export an OpenAI API key as an environment variable, then run the package with a single npx command from the root of your Prisma project. The tool starts a local server and prints a URL you open in the browser to reach the chat UI. Optional environment variables let you pick a different model or point the client at a custom API base URL.

Because it is provider-agnostic at the API level, Prisma Assistant also works with Ollama: you can set the model to a local option such as llama2 and the API base URL to your Ollama endpoint, keeping prompts and responses on your own hardware. The project emphasises privacy by design — it runs locally and the maintainers state they never see your API key.

**Pricing & Plans:** Free and open source; you run it locally with your own OpenAI API key (usage billed by OpenAI) or a self-hosted model via Ollama.

- **Conversational schema queries:** Ask about your models in natural language and get back Prisma Client code instead of writing queries from scratch.
- **One-command local setup:** Install and launch with npx prisma-assistant@latest from your project root, then open the printed local URL.
- **Bring your own model:** Configure the OpenAI model ID, use a custom API base URL, or route requests to a local Ollama instance for fully offline use.
- **Context-aware code output:** Responses are generated against your actual schema, including select, where and include clauses that match your relations.
- **Runs entirely on your machine:** The server executes locally, so your API key and project data do not pass through the maintainers' infrastructure.

**Strengths:** Runs locally, so credentials and schema stay on your machine; Simple npx-based install with no hosting or account required; Works with OpenAI models or a self-hosted Ollama endpoint; Generates Prisma Client code tied to your actual schema

**Limitations:** Requires you to supply your own OpenAI API key or run a local model; Focused on Prisma projects only; Interface is a lightweight local web UI rather than a full IDE extension

[Profile (Markdown)](https://openaitools.app/tool/prisma-assistant.md)

## Frequently Asked Questions

### How do Jan and Prisma Assistant compare in monthly traffic?

Jan has 291,894 monthly visits, while Prisma Assistant 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%; Prisma Assistant 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. Prisma Assistant: Free. Free and open source; you run it locally with your own OpenAI API key (usage billed by OpenAI) or a self-hosted model via Ollama.

## 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 | [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) |
| 3 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) |
| 4 | [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) |
| 5 | [Command Code](https://openaitools.app/tool/command-code) | 2,358,177 | -12.1% | Freemium, Contact for Pricing | The coding agent that learns your coding taste | [.md](https://openaitools.app/tool/command-code.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 | [Trae](https://openaitools.app/tool/trae) | 702,366 | -7.8% | Freemium | An AI IDE and coding agent that works on your project, not just your cursor | [.md](https://openaitools.app/tool/trae.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 | [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) |
| 10 | [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) |

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Source: https://openaitools.app/compare/jan-vs-prisma-assistant

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