orca vs Vicoa

Coding-agent workspaces compared

orca and vicoa help developers run and coordinate multiple coding-agent sessions, often in separate Git worktrees. orca centers on a desktop workspace with mobile and SSH support, while vicoa offers a self-hostable command center with desktop, web, mobile, and CLI clients.

orcaVicoa
LanguageTypeScriptPython
LicenseMITAGPL-3.0
Stars101k516
Forks6.4k60
Last analyzedOct 22, 2026Oct 21, 2026

Key differences

  • orca is a desktop workspace for monitoring agents, reviewing diffs, and sending feedback; vicoa adds task boards, scheduled automations, and a broader set of session views.
  • orca offers desktop apps for macOS, Windows, and Linux plus a mobile companion; vicoa provides desktop, web, iOS, Android, and CLI clients.
  • orca connects to remote worktrees over SSH; vicoa connects local computers, remote machines, and VPS instances, and supports a self-hosted backend with Docker and PostgreSQL.
  • orca is written in TypeScript and licensed under MIT; vicoa is written in Python and licensed under AGPL-3.0.
  • orca includes a Chromium Design Mode and GitHub and Linear task browsing; vicoa includes built-in agent integrations, ACP support, commit history, and a file browser.
  • Both require users to install and authenticate coding-agent tools; vicoa also describes self-hosting setup involving environment variables and JWT keys.

Choose orca if you…

  • want a desktop-first workspace with mobile monitoring and SSH access to remote worktrees.
  • need to review agent diffs with line-level comments and send feedback to agents.
  • want to browse GitHub or Linear tasks or share selected browser elements and styles with an agent.
Read the orca analysis →

Choose Vicoa if you…

  • want agent sessions accessible through web, mobile, desktop, and CLI clients.
  • need task boards, scheduled automations, or built-in agent integrations with ACP support.
  • want to self-host a backend stack and connect agents running on local machines or VPS instances.
Read the Vicoa 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.