All comparisons
HiveTerm vs Orca
Orca runs CLI agents in parallel, each isolated in its own git worktree — agents race on a task and you merge the winner. HiveTerm makes agents collaborate instead: one orchestrates the others in Meetings (debate, review, plan, dev squad), and your dev stack runs alongside as managed processes.
| Feature | HiveTerm | Orca |
|---|---|---|
| Agents collaborate in Meetings | ||
| Live split-pane grid of different agents | ||
| Claude, Codex, Gemini & Grok | ||
| Sub-agent tree (MCP) | ||
| Pins & notes, agent-managed (MCP) | ||
| Runs your dev stack (servers, workers) | ||
| macOS, Windows & Linux | ||
| Config-as-code workspace | ||
| Inline diff, commit & PR | ||
| Voice input | ||
| 3 languages (EN/PT/ES) |
Where HiveTerm wins
- Agents collaborate instead of racing: a Meeting ends in one delivery with a summary card — not five branches to compare and four results to throw away.
- Your whole dev stack — servers, watchers, workers — runs as managed bees from one committed hive.yml, not just agent sessions.
- Transparent pricing: a generous free tier and a flat Pro plan, instead of free-now with enterprise pricing behind a sales call.
When Orca is the better pick
- You want git-worktree isolation per task as the core workflow, with agents racing on the same prompt.
- You want a built-in browser and a mobile companion app around your agent sessions.
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