holaOS vs Kun

Local-first AI agent workspaces compared

holaOS and Kun are desktop workspaces for using AI agents with work tools and tasks. holaOS centers on connecting apps, integrations, and shared local memory, while Kun adds a terminal interface and task-focused modes for coding, design, writing, and collaboration.

holaOSKun
LanguageTypeScriptTypeScript
License—NOASSERTION
Stars11.4k6.3k
Forks728595
Last analyzedOct 10, 2026Oct 4, 2026

Key differences

  • holaOS places interactive apps beside agents and connects integrations, chat tools, and MCP servers; Kun organizes work into modes such as Code and Work, plus Rooms for delegation and review.
  • holaOS supports Claude Code, Codex, and its built-in agent in a shared workspace; Kun uses a shared runtime across its desktop GUI and terminal TUI.
  • holaOS emphasizes readable, editable local files for shared memory; Kun emphasizes keeping tasks, approvals, and evidence connected across interfaces.
  • holaOS documents desktop support for macOS, Windows, and Linux; Kun offers a desktop GUI and terminal TUI, with the TUI bundled with the desktop application from version 0.3.8 onward.
  • Both projects report TypeScript and `NOASSERTION` license metadata. Their README license descriptions differ: holaOS describes a modified Apache 2.0 license with added conditions, while Kun describes PolyForm Noncommercial 1.0.0 and separate authorization for commercial use.

Choose holaOS if you…

  • want interactive apps alongside agents, with context shared between them.
  • need integrations, chat tools, MCP servers, and shared local memory in a desktop workspace.
  • want to use Claude Code, Codex, or holaOS’s built-in agent together.
Read the holaOS analysis →

Choose Kun if you…

  • want to continue tasks and approvals between a desktop GUI and terminal TUI.
  • need coding workflows with diffs, tests, reviews, and Git worktrees, or a design canvas linked to implementation.
  • want Work mode for documents and research, or Rooms for delegated agent work and review.
Read the Kun analysis →

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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.