Kun vs maka

Local-first AI agent workspaces compared

Kun and maka both provide desktop and terminal interfaces for working with AI agents through a shared runtime, and both require users to configure a model connection. Kun emphasizes workflows across coding, writing, design, research, and automation, while maka centers on recording agent activity in an append-only log.

Kunmaka
LanguageTypeScriptTypeScript
LicenseNOASSERTIONApache-2.0
Stars6.3k5.8k
Forks595557
Last analyzedOct 4, 2026Oct 19, 2026

Key differences

  • Kun includes Code, Work, and design-canvas workflows, plus Rooms for delegated work and review; maka focuses on running tasks and inspecting their activity records.
  • maka records model messages, tool calls, permission decisions, and turn endings as append-only RuntimeEvents; Kun connects tasks, approvals, and evidence across its interfaces.
  • Kun offers automation and extension options such as scheduled tasks, Loops, Hooks, MCP, and Skills; maka includes evaluation tooling and published per-task results.
  • Both are written in TypeScript and provide desktop and terminal interfaces, while maka also specifies a non-interactive CLI and Windows and Linux preview support.
  • maka is licensed under Apache-2.0; Kun's supplied repository metadata says NOASSERTION, while its README describes PolyForm Noncommercial 1.0.0 and says commercial use needs separate written authorization.

Choose Kun if you…

  • want agent workflows spanning coding, writing, design, research, and automation
  • need design work connected to implementation tasks or want Rooms for delegated work and review
  • prefer a shared desktop and terminal workspace with multiple automation and extension options
Read the Kun analysis →

Choose maka if you…

  • want an append-only record of model messages, tool calls, and permission decisions
  • need a CLI, TUI, and desktop app using the same runtime, with evaluation tooling
  • prefer an Apache-2.0 project and can assess its development status and credential storage model
Read the maka analysis →

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.