Octomind Cloud and Hub vs Orca: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Octomind Cloud and Hub and Orca — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
O
Octomind Cloud and Hub
Octomind
Cloud runtime for coding agents — spin up a container with the octomind agent, chat from any device, resume anywhere.
Key features
- Managed Coding Containers: Pick a machine image and size in seconds and get a container with octomind and its models preinstalled, no API keys to collect or servers to babysit.
- Cross-device Sessions: Every session streams in the browser with tool calls and permission prompts and replays on any device, so the same job you started on your desk can be reviewed from your phone.
- Shared Memory Directory: One account-wide directory — code index, agent memory, session history — mounts into every machine so you index a codebase once and reuse it everywhere.
- Zero Model Setup Gateway: A built-in model gateway ships free open coding models on every plan and premium models (Claude, GPT) via credits, with no provider accounts required.
- Custom Docker Base Images: Bring a Docker image built FROM the octomind base to ship the exact toolchain and dependencies your agent needs.
- Web Shell for Advanced Runs: Open a real bash terminal into the container to run octomind by hand, install tools, or debug — the same box the agent is using.
- Per-second Billing With Suspend: Machines bill only while they work, auto-suspend after configurable idle (5–60 min), and archive cold data after three days to keep costs near zero when idle.
- Developer API On Every Plan: A scriptable REST API is on every tier (30 to 600 req/min) so agents, workflows, and machines can be automated end to end.
Best for
- Ship From Anywhere: Kick off a refactor at your desk, approve the plan from your phone at lunch, review the diff at home — one session, one machine.
- Long-running Agent Work: Big migrations, research sweeps, and batch processing keep running after the laptop closes so users come back to a finished job.
- Offload Heavy Local Tasks: Index a large codebase, run test suites, or build containers on a Cloud machine while the local laptop stays cool and free.
- Team Coding Fleet: Team plan gives a shared pooled usage allowance and per-member limits so a whole squad can run agents from one account.
- Prototyping With Free Models: The free tier's Tiny machine and free open-model quota is enough to trial an agent-driven workflow without a credit card.
- Custom Toolchains: Ship a Docker image with the exact dependencies (frameworks, DB clients, private mirrors) and get identical machines for every run.
O
Orca
Stably AI
Desktop AI orchestrator that runs Codex, Claude Code, OpenCode, and Pi side by side in parallel git worktrees, all tracked in one place.
Key features
- Parallel Agent Worktrees: Fan one prompt across up to five agents, each in its own isolated git worktree — compare results and merge the winner.
- Multi-Agent Support: Run Codex, Claude Code, OpenCode, and Pi side by side, all tracked in one unified interface.
- Mobile Companion App: Monitor and steer your agents from iOS or Android — get notified when an agent finishes and send follow-ups from anywhere.
- Ghostty-Class Terminals: WebGL-rendered terminal splits with infinite panes and scrollback that survives restarts.
- Design Mode Browser: Click any UI element in the embedded Chromium window to send its HTML, CSS, and a cropped screenshot straight into your agent's prompt.
- Cross-Platform Desktop: Native builds for macOS, Windows, and Linux so the orchestrator runs alongside your existing dev environment.
- Unified Prompt & History Tracking: Every prompt, tool call, and terminal action across all agents is captured in one place for easy review.
- Steer from Anywhere: Follow-up prompts from the mobile companion keep long-running agent runs moving even when you step away from the desk.
Best for
- Prompt Bake-Off: Send the same feature request to Codex, Claude Code, and OpenCode simultaneously and merge whichever branch wins.
- Long-Running Refactors: Kick off multi-hour agent runs in isolated worktrees and check in from your phone as they progress.
- Design-to-Code Handoff: Click a live UI element in Design Mode and hand its markup and a screenshot to the agent for pixel-accurate implementation.
- Parallel Bug Reproduction: Try multiple diagnostic approaches at once — each agent operates on its own worktree without collision.
- Terminal-Heavy Workflows: Use Ghostty-class terminal splits to keep build watchers, servers, and agent output visible side by side.
- Team Handoffs: Track every agent action in one place so the next engineer can pick up context without replaying a chat log.