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Beehive

Multi-workspace agent orchestrator for parallel task management

Developer tool / API SaaS & software Show HN · launch post · ▲ 47

Visit site

storozhenko98.github.io

What it does

Beehive is a desktop application and terminal utility for managing multiple git workspaces and running coding agents in parallel. Users can add GitHub repositories, create isolated clones on different branches, and launch terminals and agents side-by-side in a flexible grid layout. The tool maintains separate directories for each workspace, eliminating interference between parallel tasks. Terminals persist their state even when switching between workspaces or repositories.

Who it is for

The tool targets developers who supervise multiple coding tasks simultaneously, particularly those working with AI agents. It suits teams or individuals managing several branches or experiments on the same codebase without wanting to use git worktrees. The creator built it to replace a multi-tab terminal setup that became difficult to track.

Pricing

The site does not show prices. Both the desktop app and terminal interface are free and open source.

How it stands out

Beehive simplifies workspace isolation compared to git worktrees, which require more technical setup and carry risk of mistakes. The tool keeps separate .git directories for each workspace rather than using git's internal linking. Both a GUI desktop app and a command-line TUI interface share the same configuration, allowing users to switch between them. Workspaces can be duplicated with their uncommitted work intact, enabling safe experimentation. The sidebar tracks branch changes made in the terminal, keeping the UI synchronized without manual refresh.

What a founder should check

First, investigate existing terminal multiplexers and workspace management tools. Zellij, tmux, and screen already handle parallel terminal management; a founder should understand what switching costs prevent users from adopting those solutions instead. Second, examine whether developers actually need agent-specific features or if general terminal management suffices. The moat may depend on how tightly agents integrate with workspace switching versus remaining generic. Third, verify pricing sustainability; the open-source model limits revenue opportunities, so a founder should assess whether paid features (hosting, commercial support, or advanced agent integration) would gain adoption or whether the target audience expects perpetual free access.

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