Gotcha vs Orca: Features, Pricing & Which Is Better (2026)

A side-by-side comparison of Gotcha and Orca — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.

Gotcha

Samosa-AI

Freemium

On-device Android AI copilot that turns natural language into 100+ real device actions with dual safety modes.

On-device Copilot: Runs entirely on the user's Android phone with a bring-your-own-model architecture, so prompts, screen context, and actions never require a cloud round-trip.
Dual Copilot Modes: Instant switch between Monitor mode (40+ read-only tools for planning) and Operator mode (all 100+ tools for execution) so users choose inspection vs action per task.
100+ Native Device Tools: Send SMS, place calls, manage storage, toggle torch, set wallpapers, read the screen, control volume, and automate any app through a curated Android tool library.
Tiered Permission Model: Four permission tiers (from everyday battery/storage access to Tier 4 privileged root actions) with explicit gates so nothing runs without user consent.
Assistive Ball & Push-to-Talk: A floating orb accessible from any app supports 'Hey Gotcha' voice calls where Gotcha sees the current screen and acts on the user's behalf.
Visual Safety Indicators: A colored ring around the screen shows when Gotcha is reading the display (blue) or working in the background (orange), backed by an append-only audit log.
BYOK Model Choice: Bring your own local or cloud model — or use free Samosa AI credits routed through the OpenAI-compatible Samosa AIR API for zero setup.
Skill Hub Extensibility: Add third-party skills through the Gotcha Skill Hub so the copilot's action library grows with the community.

Hands-free Messaging: Say 'Text mom I'm running late' and Gotcha finds the contact and sends the SMS without touching the screen.
Storage Cleanup: Ask Gotcha to free up space and it inspects app usage, then confirms uninstalls of games or apps you haven't opened in months.
Screen-aware Shopping: While browsing a page, ask 'find similar shirts to the one worn here' and Gotcha reads the screen, searches the web, and returns matches.
Quick Device Control: Toggle the torch, set the volume, change wallpaper, or open a specific playlist in Spotify with one spoken sentence.
Privacy-first Automation: Users who don't want cloud LLMs running their phones can plug in a local model and keep prompts, screen content, and actions on-device.
Developer Copilot Extensions: Ship a Gotcha Skill so a niche workflow (e.g., custom-app automation) becomes a first-class action inside the copilot.

Stably AI

Free

Desktop AI orchestrator that runs Codex, Claude Code, OpenCode, and Pi side by side in parallel git worktrees, all tracked in one place.

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.

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.