amux vs multica

AI coding agent coordination projects compared

amux and multica coordinate AI coding agents through shared workspaces and task boards. amux focuses on managing parallel agent sessions with tmux, while multica connects agent runs to team workflows, code hosting, and human review.

amuxmultica
LanguageRustGo
Stars54753.2k
Forks697k
Last analyzedOct 26, 2026Oct 20, 2026

Key differences

  • amux is a Rust control plane built around tmux sessions; multica is a Go-backed workspace that runs agent CLIs on connected machines.
  • amux provides atomic task claiming, agent messaging, and session recovery; multica emphasizes execution logs, blockers, and review before work reaches the main branch.
  • amux supports local-first SQLite storage and an optional hosted service; multica offers cloud use or self-hosting with Go, PostgreSQL, and Docker.
  • amux lists Claude Code, Codex, Gemini CLI, OpenCode, and Ollama for per-worker CLI and model switching; multica requires users to install and authenticate supported CLIs on runtime machines.
  • amux lists an MIT plus Commons Clause license in its README, while multica uses its own license based on Apache 2.0 with additional conditions.
  • Both projects are described as young and active; amux's measured contributions are concentrated in one contributor, while multica reports 53.2k stars and 7k forks.

Choose amux if you…

  • want to coordinate parallel agent sessions through tmux, with messaging and recovery tools.
  • need local-first storage and a dashboard accessible from a browser or Apple companion apps.
  • prefer a Rust control plane with per-worker CLI and model switching.
Read the amux analysis →

Choose multica if you…

  • need a team workspace that connects agent tasks, execution logs, and human review.
  • want to connect GitHub, GitLab, Gitea, or Forgejo and coordinate work with human teammates.
  • plan to self-host with a Go backend, PostgreSQL, and Docker, or use the cloud service.
Read the multica 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.