maka vs holaOS
Local-first AI agent workspaces compared
maka and holaOS are TypeScript desktop workspaces for using AI agents locally with models and tools you choose. maka centers on traceable runs and a shared runtime across desktop and terminal interfaces, while holaOS brings agents, apps, integrations, and shared memory together for team workflows.
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.
holaOS: Build a Local-First Workspace for AI Agents
holaOS is an Electron desktop workspace that puts agents beside apps, chat tools, files, and integrations, with shared local memory. It suits teams that want to customize how agents work across their existing systems while keeping workspace data on their machines.
| maka | holaOS | |
|---|---|---|
| Language | TypeScript | TypeScript |
| License | Apache-2.0 | — |
| Stars | 5.8k | 11.4k |
| Forks | 557 | 728 |
| Last analyzed | Oct 19, 2026 | Oct 10, 2026 |
Key differences
- maka records agent messages, tool calls, permission decisions, and turn endings in an append-only event log; holaOS emphasizes integrations, apps, skills, and shared memory.
- maka offers Desktop, TUI, CLI, and evaluation tools backed by one Runtime Host; holaOS is an Electron desktop workspace with apps alongside the agent.
- maka is an Apache Incubator project whose README says it has not made an Apache release; holaOS describes a modified Apache 2.0 license with additional conditions.
- maka requires users to configure their own model connection; holaOS supports model selection and bring-your-own-key options for supported providers and compatible endpoints.
- maka focuses on developers and evaluators who want to inspect or resume agent runs; holaOS targets teams connecting agents to existing apps, conversations, and workflows.
- maka lists macOS without a preview qualification and Windows and Linux as preview platforms; holaOS lists its desktop app for macOS, Windows, and Linux.
Choose maka if you…
- need an append-only record of agent actions for review and recovery.
- want desktop and terminal entry points backed by a shared runtime.
- plan to run agent evaluations and examine per-task results.
Choose holaOS if you…
- want agents alongside apps, integrations, chat tools, and shared memory.
- need a team workspace for connecting agents to existing systems and workflows.
- prefer to choose among supported agents or models, including Claude Code, Codex, and the built-in holaOS agent.
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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.