Kun vs Orkas
Local-first AI agent workspaces compared
Kun and Orkas are local-first desktop apps for directing AI agents, with model access configured by the user. Kun combines desktop and terminal workflows for coding, writing, design, and automation, while Orkas centers on a Commander coordinating specialist agents from a desktop app.
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.
Orkas: Coordinate AI Agent Teams from a Desktop App
Orkas is a local-first desktop app for directing a Commander and specialist AI agents from one chat. It suits people who want to coordinate research, document work, and coding tools locally, using their own model keys.
| Kun | Orkas | |
|---|---|---|
| Language | TypeScript | JavaScript |
| License | NOASSERTION | MIT |
| Stars | 6.3k | 2.1k |
| Forks | 595 | 88 |
| Last analyzed | Oct 4, 2026 | Oct 4, 2026 |
Key differences
- Kun shares one runtime between its desktop GUI and terminal TUI; Orkas is presented as a desktop app coordinating agents through one chat.
- Kun covers coding, design, writing, research, and automation workflows; Orkas focuses on delegating multi-step work to specialist agents, including research, documents, and coding tools.
- Kun is written in TypeScript, while Orkas is written in JavaScript.
- Kun's repository metadata lists its license as NOASSERTION, while Orkas is MIT licensed.
- Orkas documents desktop builds for macOS and Windows and Linux use from source; Kun notes that its TUI is bundled with the desktop app rather than distributed separately from version 0.3.8 onward.
- Kun reports 6.3k stars and 595 forks; Orkas reports 2.1k stars and 88 forks.
Choose Kun if you…
- need a shared desktop and terminal workspace for agent tasks and approvals.
- want coding, design, writing, and automation workflows in one workspace.
- prefer task tools such as Git worktrees, diffs, tests, and review alongside agent work.
Choose Orkas if you…
- want a Commander to plan and delegate tasks to specialist agents.
- need local document retrieval, agent memory, or support for external coding and personal-agent CLIs.
- prefer an MIT-licensed project with packaged macOS and Windows builds.
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This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.