holaOS vs Orkas

Local-first desktop workspaces for AI agents compared

holaOS and Orkas are desktop apps for working with AI agents locally and connecting them to tools and models. holaOS centers on combining agents with workplace apps, integrations, and shared memory, while Orkas centers on a Commander coordinating specialist agents through multi-step tasks.

holaOSOrkas
LanguageTypeScriptJavaScript
License—MIT
Stars11.4k2.1k
Forks72888
Last analyzedOct 10, 2026Oct 4, 2026

Key differences

  • holaOS combines agents with interactive apps, integrations, chat tools, MCP servers, and shared workspace memory; Orkas focuses on delegating work among a Commander and specialist agents.
  • holaOS supports Claude Code, Codex, and its built-in agent; Orkas connects agents to configurable model providers, local endpoints, and supported external CLI agents.
  • holaOS is written in TypeScript and reports a modified Apache 2.0 license with additional conditions; Orkas is written in JavaScript and uses the MIT license.
  • holaOS documents desktop support for macOS, Windows, and Linux, with its one-line installer targeting macOS, Linux, and WSL; Orkas provides packaged builds for macOS and Windows, while Linux runs from source.
  • holaOS has 11.5k stars and 730 forks; Orkas has 2.1k stars and 88 forks.

Choose holaOS if you…

  • want agents alongside workplace apps, chat tools, and integrations in one workspace.
  • need shared memory stored locally as readable, editable files.
  • prefer to use Claude Code, Codex, or holaOS's built-in agent in a shared workspace.
Read the holaOS analysis →

Choose Orkas if you…

  • want a Commander to delegate multi-step tasks to specialist agents.
  • need local document retrieval with full-text search and on-device embeddings.
  • want to connect different model providers or local endpoints, with provider choice configurable per agent.
Read the Orkas 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.