cherry-studio vs deepchat
Desktop AI chat clients compared
cherry-studio and deepchat are cross-platform desktop apps for working with cloud and local AI models in one workspace. cherry-studio emphasizes multi-model chat, assistants, and document workflows, while deepchat focuses more on agent sessions, reusable Skills, and remote session control.
cherry-studio: Chat with Multiple AI Models on Desktop
Cherry Studio is a TypeScript desktop client for Windows, macOS, and Linux that brings multiple LLM providers, AI assistants, and conversations into one app. It also supports local models, document handling, and MCP servers.
deepchat: Local-First AI Agent Desktop Client with Electron
DeepChat is a local-first AI agent desktop client built with Electron and Vue for Windows, macOS, and Linux. It brings model providers, agent tools, Skills, MCP, ACP agents, and remote messaging control into one app.
| cherry-studio | deepchat | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | AGPL-3.0 | Apache-2.0 |
| Stars | 52.7k | 6.4k |
| Forks | 5.1k | 756 |
| Last analyzed | Oct 19, 2026 | Oct 18, 2026 |
Key differences
- cherry-studio supports local models through Ollama and LM Studio; deepchat describes local model support through Ollama.
- cherry-studio includes 300+ pre-configured assistants and simultaneous multi-model conversations; deepchat highlights resumable agent sessions and reusable Skills.
- deepchat supports compatible ACP agents and session control through messaging channels such as Telegram, Discord, and Feishu/Lark; cherry-studio highlights document handling, WebDAV, and global search.
- cherry-studio is licensed under AGPL-3.0, while deepchat is licensed under Apache-2.0.
- Both use TypeScript and run on Windows, macOS, and Linux. The supplied repository figures show 52.3k stars and 5k forks for cherry-studio, compared with 6.4k stars and 747 forks for deepchat.
Choose cherry-studio if you…
- want ready-made assistants and conversations with multiple models at once.
- need to work with Office documents, PDFs, and images in an AI chat workflow.
- use LM Studio for local models or want WebDAV file management and backup.
Choose deepchat if you…
- need inspectable, resumable agent sessions and reusable Skills.
- want to use compatible ACP agents or add MCP tools, resources, and prompts.
- need to control configured sessions through supported messaging integrations.
Compare the numbers side by side, or add more projects
This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.