iPolloWork vs Kun

Local-first AI agent workspaces compared

iPolloWork and Kun are local-first workspaces for directing AI agents across practical tasks. iPolloWork centers on coordinating multiple agent runtimes and keeping creative outputs editable, while Kun connects coding, writing, design, and collaboration through a shared desktop and terminal runtime.

iPolloWorkKun
LanguageTypeScriptTypeScript
License—NOASSERTION
Stars6.7k6.3k
Forks1.1k595
Last analyzedOct 7, 2026Oct 4, 2026

Key differences

  • iPolloWork coordinates work across OpenCode, with optional Codex and DeepSeek Harness integrations; Kun provides a shared runtime for its desktop GUI and terminal TUI.
  • iPolloWork supports editable outputs including documents, websites, presentations, designs, and video; Kun focuses on coding, design canvas, writing, research, and work modes.
  • iPolloWork offers a unified lifecycle for plugins, Skills, and MCP servers; Kun includes options such as scheduled tasks, Loops, Hooks, MCP, Skills, and installable extensions.
  • iPolloWork can work locally without an account and optionally connect to iPolloCloud; Kun requires a compatible model provider, and cloud providers may receive prompts, attachments, and task context.
  • iPolloWork's license is described as source-available and restricts use by teams of three or more, while Kun's README describes a PolyForm Noncommercial License and separate authorization for commercial use.
  • Both projects use TypeScript and are not archived; iPolloWork lists 6.7k stars and 1.1k forks, while Kun lists 6.3k stars and 595 forks.

Choose iPolloWork if you…

  • want to coordinate projects across OpenCode, Codex, or DeepSeek Harness.
  • need generated code and creative work to remain editable in one workspace.
  • want a local desktop workflow that can run without an account.
Read the iPolloWork analysis →

Choose Kun if you…

  • want tasks and approvals to continue between a desktop GUI and terminal TUI.
  • need workflows spanning coding, writing, design, research, or automation.
  • want Rooms for delegated work, isolated Git worktrees, and review.
Read the Kun analysis →

This comparison is generated with AI from the OSRepos analyses of both projects. Always check each project's repository and documentation before choosing.

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