holaOS vs craft-agents-oss

Desktop workspaces for AI agents compared

holaOS and craft-agents-oss bring AI agent work into desktop workspaces, connecting sessions with services, files, and tools. holaOS emphasizes a local-first workspace with apps alongside agents, while craft-agents-oss focuses on session management and also provides a headless server and CLI for remote and scripted use.

holaOScraft-agents-oss
LanguageTypeScriptTypeScript
License—Apache-2.0
Stars11.4k7.2k
Forks7281.1k
Last analyzedOct 10, 2026Oct 3, 2026

Key differences

  • holaOS combines agents with interactive apps and shared context; craft-agents-oss organizes multiple sessions with inbox, archive, status, and flagging workflows.
  • holaOS supports Claude Code, Codex, and its built-in agent; craft-agents-oss supports multiple LLM connections, including named providers and compatible custom endpoints.
  • holaOS describes shared memory stored locally as readable, editable files; craft-agents-oss describes workspace-specific skills, session history, and encrypted local credential storage.
  • craft-agents-oss offers a headless server and CLI for remote access and scripts; holaOS is described as an Electron desktop workspace.
  • Both projects use TypeScript, but their reported licenses differ: holaOS has a NOASSERTION repository label and describes a modified Apache 2.0 license with extra conditions, while craft-agents-oss reports Apache-2.0.

Choose holaOS if you…

  • want interactive apps beside agents, with context shared between them.
  • need a local-first workspace with shared memory stored as editable files.
  • want to use Claude Code, Codex, or holaOS's built-in agent in one workspace.
Read the holaOS analysis →

Choose craft-agents-oss if you…

  • need to organize multiple agent sessions with inbox, archive, status, and flags.
  • want a headless server and CLI for remote access or scripted workflows.
  • need configurable permission modes for agent work, from read-only exploration to automatic approval.
Read the craft-agents-oss 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.