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witsy

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# Witsy: Desktop AI Assistant
#anthropic #genai #groq #ollama #ollama-gui #openai #electron-app #electronjs #vuejs #vuejs3 #deepseek #gemini #googleai #mistral #mistralai #openrouter #mcp #mcp-client

Overview

What is witsy

Witsy is a desktop AI assistant that allows users to leverage various AI models by bringing their own API keys or using local models through Ollama.

How to Use

Users can download Witsy from witsyai.com or the releases page, set up their API keys for preferred LLM providers, or utilize local models via Ollama.

Key Features

Witsy supports multiple AI models including OpenAI, Ollama, Anthropic, and others. It offers features like chat completion with vision models, text-to-image and text-to-video capabilities, and image manipulation.

Where to Use

Witsy can be used in various fields such as content creation, software development, education, and any domain requiring AI-driven assistance.

Use Cases

Use cases include generating creative content, automating customer support, enhancing educational tools, and developing interactive applications.

Usage

Installation

Generate your exclusive SSE URL:

MCP Server Configuration (for all clients):

Installation in Cursor

Click on the Cursor settings icon in the top right, find the MCP option, then click the + button in the top right of that page and add the configuration in the config panel.

Note: Do not delete previously added configuration items

After completion, restart Cursor, chat with Cursor, and you can use MCP functions

Installation in Claude

Find this json file at the following path: macOS: ~/Library/Application Support/Claude/claude_desktop_config.json Windows: %APPDATA%\Claude\claude_desktop_config.json If this file doesn't exist, create one and paste the content above into the file.

Note: Do not delete previously added configuration items.

After completion, restart Claude, and you can use MCP functions through the Claude dialog

SDK

Installation in Python

Install composio-toolset by running the following commands in your terminal:

pip install composio_openai

Python example code:

from composio_openai import ComposioToolSet, App
from openai import OpenAI

openai_client = OpenAI()
composio_toolset = ComposioToolSet(entity_id="default")

tools = composio_toolset.get_tools(apps=[App.GITHUB])

Installation in TypeScript

Install composio-core by running the following commands in your terminal:

npm install -g composio_core

TypeScript example code:

import { OpenAI } from "openai";
import { OpenAIToolSet } from "composio-core";

const openaiClient = new OpenAI();
const composioToolset = new OpenAIToolSet();

const tools = await composioToolset.getTools({
  apps: ["github"],
});

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