maka vs Kun
Local AI agent workspaces compared
maka and Kun are TypeScript workspaces for directing AI agents through desktop and terminal interfaces. maka emphasizes an append-only runtime record, recovery, and evaluation tooling, while Kun offers broader workflows for coding, design, writing, research, and team collaboration.
maka: Keep a Complete Record of AI Agent Work
Apache Maka is a high-performance agent workspace that records every model message, tool call, permission decision, and turn ending. It runs as a desktop app, with TUI and CLI clients, on macOS and preview builds for Windows and Linux.
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.
| maka | Kun | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | NOASSERTION |
| Stars | 5.8k | 6.3k |
| Forks | 557 | 595 |
| Last analyzed | Oct 19, 2026 | Oct 4, 2026 |
Key differences
- maka records model messages, tool calls, permission decisions, and turn endings in an append-only RuntimeEvent log; Kun focuses on keeping tasks, approvals, and evidence connected in a shared local runtime.
- maka offers desktop, TUI, and CLI clients backed by one Runtime Host; Kun describes a desktop GUI and terminal TUI sharing one runtime.
- maka centers on agent tasks, runtime inspection, and repeatable evaluations; Kun includes dedicated Code, Design, and Work modes, plus Rooms for delegated work and review.
- maka's desktop app runs on macOS, with Windows and Linux support marked as previews; Kun is described as a desktop and terminal workspace without platform details here.
- maka is licensed Apache-2.0 in the supplied repository facts and is marked as incubating; Kun's repository metadata says NOASSERTION, while its README states PolyForm Noncommercial License 1.0.0 and requires separate written authorization for commercial use.
- Both require a model connection, but maka explicitly supports user-provided cloud APIs, local models, and compatible gateways; Kun lists provider options including subscriptions, APIs, compatible services, and self-hosted models.
Choose maka if you…
- want an append-only record of agent actions and permission decisions.
- need CLI access or explicit interrupted-turn resume alongside desktop use.
- plan to compare agent harnesses using evaluation tooling and per-task reports.
Choose Kun if you…
- want workflows spanning coding, design, writing, research, or automation.
- need Rooms for delegated agent work, isolated changes, and review.
- want options such as scheduled tasks, Hooks, Loops, MCP, Skills, and extensions.
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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.