Kun vs deepchat
Local-first AI agent workspaces compared
Kun and deepchat are TypeScript desktop applications for working with AI models and agents. Kun centers on a shared desktop and terminal workspace for tasks across coding, writing, design, and research, while deepchat focuses on a desktop client for model access, agent tools, session history, and remote messaging control.

Kun: Local-First AI Agent Workspace
Kun is a local-first workspace for using AI agents across coding, writing, design, research, and automation. Its desktop GUI and terminal TUI share one runtime, keeping tasks and approvals connected.

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.
| Kun | deepchat | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | NOASSERTION | Apache-2.0 |
| Stars | 6.3k | 6.4k |
| Forks | 595 | 756 |
| Last analyzed | Oct 4, 2026 | Oct 18, 2026 |
Key differences
- Kun shares a runtime between its desktop GUI and terminal TUI; deepchat is described as an Electron and Vue desktop client for Windows, macOS, and Linux.
- Kun includes coding, design, document work, Rooms for multi-agent collaboration, and scheduled automation; deepchat focuses on model sessions, reusable Skills, MCP, and ACP agents.
- Kun’s project metadata lists its license as NOASSERTION, while its README describes PolyForm Noncommercial terms and separate written authorization for commercial use; deepchat uses Apache-2.0, which permits commercial use subject to its terms and notices.
- Kun’s listed model options include compatible services and self-hosted models; deepchat specifically supports cloud providers and local Ollama models.
- Deepchat records sessions using Tape history and offers request traces and token budgets; Kun ties planning, tool use, approvals, and evidence to tasks.
- Deepchat supports remote session control through messaging apps including Telegram, Discord, and WeChat iLink; Kun describes local desktop and terminal interfaces.
Choose Kun if you…
- need a shared desktop and terminal workspace for agent tasks and approvals.
- want to connect design work with implementation or coordinate delegated work in isolated Git worktrees.
- need agent workflows for coding, writing, research, or repeatable automation in one workspace.
Choose deepchat if you…
- want a desktop client that combines cloud models, local Ollama models, and ACP agents.
- need inspectable session history, request traces, or token budgets for long-running tasks.
- want to manage desktop sessions remotely through supported messaging apps.
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.