Cherry Studio AI

Cherry Studio AI works as a multi-model chat hub that sends one question to several LLMs at the same time and shows the answers together. You compare how OpenAI, Anthropic, Gemini, and others handle the same prompt without copying text between apps. Providers you already subscribe to plug in through their own API keys, and local models from Ollama or LM Studio sit in the same list. It's the feature that makes the app useful on day one, before you build anything custom.

The knowledge base stores your documents and searches them before the model replies, so answers come from your files instead of the model's general training. You load PDFs, Office files, images, and web pages, and the app handles the retrieval behind the scenes. For anyone working from a fixed set of references, that grounding cuts down on made-up answers. The trade-off is setup, since a useful base takes time to fill and tune.

Version 2.0 centers on agents that read files, run commands, and work through multi-step tasks on the page. Through the Model Context Protocol, an agent connects to outside tools such as a database, Notion, or GitHub, and calls them to get work done. Each connection works like an MCP server that hands the agent a specific capability. You can also deploy an agent as a bot on Slack-style channels or run it on a schedule. This is where the app leaves plain chat behind, and it rewards users willing to configure tools.

Cherry Studio AI runs models through Ollama, LM Studio, or a similar local runtime, so you can keep everything on your own hardware. That suits people who want to test open models from Hugging Face or keep private data off the internet. The catch is real: local models need a capable machine with enough memory, and they won't match the frontier systems. Cloud and local models live in the same interface, so you can mix them.

A dedicated drawing panel turns a natural-language description into an image, with the same provider setup you use for chat. It gives the app a visual side without a separate subscription. Quality follows the model you point it at, so the results range from quick mockups to finished art depending on what you connect. For social posts, slide backgrounds, or concept work, it saves a step.

The app ships with hundreds of preset assistants covering writing, coding, and translation, and you can build your own with saved prompts and settings. Custom CSS, list or bubble layouts, and reorderable sidebars let you shape the workspace to your taste. Small touches add up here, since a tool you use every day should feel like yours. Preset assistants also give newcomers a useful starting point instead of a blank prompt box.