Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Witsy: desktop AI assistant / universal MCP client
| Date | Stars |
|---|---|
| 2026-07-31 | 2012 |
| 2026-08-06 | 2013 |
Today
+1 stars today
This week
— stars this week
This month
— stars this month
Momentum
0.0
growth rate 0.00%/day
<div align="center"> <img src="assets/icon.png" width="128" alt="Witsy Logo"> <div><b>Witsy</b></div> <div>Desktop AI Assistant<br/>Universal MCP Client</div> </div> <p></p> <div align="center"> <!-- [](https://github.com/Kochava-Studios/witsy/releases) --> [](https://tooomm.github.io/github-release-stats/?username=Kochava-Studios&repository=witsy) [](https://github.com/Kochava-Studios/witsy/blob/main/.github/workflows/test.yml) <!-- [](https://gist.github.com/Kochava-Studios/fee06adf8df838e499209254e61da7f6) --> </div> ## Downloads Download Witsy from the [releases](https://github.com/Kochava-Studios/witsy/releases) page. On macOS you can also `brew install --cask witsy`. ## What is Witsy? Witsy is a BYOK (Bring Your Own Keys) AI application: it means you need to have API keys for the LLM providers you want to use. Alternatively, you can use [Ollama](https://ollama.com) to run models locally on your machine for free and use them in Witsy. It is the first of very few (only?) universal MCP clients:<br/>***Witsy allows you to run MCP servers with virtually any LLM!*** ## Supported AI Providers | Capability | Providers | |------------|-----------| | **Chat** | OpenAI, Anthropic, Google (Gemini), xAI (Grok), Meta (Llama), Ollama, LM Studio, MistralAI, DeepSeek, OpenRouter, Groq, Cerebras, Azure OpenAI, any provider who supports the OpenAI API standard (together.ai for instance)| | **Image Creation** | OpenAI, Google, xAI, Replicate, fal.ai, HuggingFace, Stable Diffusion WebUI | | **Video Creation** | OpenAI, Google, Replicate, fal.ai | | **Text-to-Speech** | OpenAI, ElevenLabs, Groq, fal.ai | | **Speech-to-Text** | OpenAI (Whisper), fal.ai, Fireworks.ai, Gladia, Groq, nVidia, Speechmatics, Local Whisper, Soniox (realtime and async) any provider who supports the OpenAI API standard | | **Search Engines** | Perplexity, Tavily, Brave, Exa, Local Google Search | | **MCP Repositories** | Smithery.ai | **Embeddings** | OpenAI, Ollama | Non-exhaustive feature list: - Chat completion with vision models support (describe an image) - Text-to-image and text-to video - Image-to-image (image editing) and image-to-video - LLM plugins to augment LLM: execute python code, search the Internet... - Anthropic MCP server support - Scratchpad to interactively create the best content with any model! - Prompt anywhere allows to generate content directly in any application - AI commands runnable on highlighted text in almost any application - Experts prompts to specialize your bot on a specific topic - Long-term memory plugin to increase relevance of LLM answers - Read aloud of assistant messages - Read aloud of any text in other applications - Chat with your local files and documents (RAG) - Transcription/Dictation (Speech-to-Text) - Realtime Chat aka Voice Mode - Anthropic Computer Use support - Local history of conversations (with automatic titles) - Formatting and copy to clipboard of generated code - Conversation PDF export - Image copy and download <p align="center"> <img src="doc/main1.jpg" height="250" /> <img src="doc/main2.jpg" height="250" /> <img src="doc/studio.jpg" height="250" /> </p> ## Setup You can download a binary from from the [releases](https://github.com/Kochava-Studios/witsy/releases) page or build yourself: ``` npm ci npm start ``` ## Prerequisites To use OpenAI, Anthropic, Google or Mistral AI models, you need to enter your API key: - [OpenAI](https://platform.openai.com/
Excerpt of 22,789 characters
Read on GitHub
4.0k
16
14
13
11
10
7
5
4
3
2
2
2
1
1
Jason Kneen · Freelance (BouncingFish) · United Kingdom
1
1
1
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:3e188de33b135ba2, topic:mcp, topic:mcp-client, desc:mcp client