Gotcha vs Pazi: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Gotcha and Pazi — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
G
Gotcha
Samosa-AI
On-device Android AI copilot that turns natural language into 100+ real device actions with dual safety modes.
Key features
- 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.
Best for
- 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.
Pazi
euank (GitHub)
A fast Rust-based autojump CLI that tracks and lets you quickly jump to frequently visited directories from your shell.
Key features
- Rust Implementation: A performance-focused implementation in Rust designed to be faster than many existing autojump utilities and to avoid pitfalls of shell-based parsers.
- Shell Integration: Provides `pazi init` for zsh, bash, and fish to wire directory tracking into the user's shell environment and enable the `z` command.
- Subcommands and Tools: Includes subcommands such as `pazi import` (to import data from other jumpers), `pazi edit` (to inspect or modify the database), and `jump` functionality for targeted navigation.
- Fuzzy Finder Compatibility: Can be integrated with fuzzy finders like fzf to present interactive, searchable lists of tracked directories.
- Prebuilt Binaries and Cargo Install: Offers prebuilt release binaries on GitHub and supports installation via `cargo install pazi` for users with the Rust toolchain.
- Safety and Reliability: Designed to be safer than shell-based implementations (e.g., fasd, z) by avoiding complex shell parsing and leveraging Rust's robustness.
- Benchmarked Performance: Includes benchmark results comparing pazi's performance to other autojump tools, noting comparable performance with zoxide in some cases.
- Cross-shell Completion: Initializes shell completion for the `z` command (e.g., `pazi init zsh` sets up completion after compinit).
- Indexes visited directories and provides quick navigation via a 'z' command
- Implemented in Rust for improved performance and safety
- Prebuilt binaries available via GitHub Releases and source install via cargo install
- Shell init helpers for zsh, bash, and fish (pazi init <shell>) including completion setup
- Integration guidance for fuzzy finders like fzf
- Import utilities for migrating data from other autojump tools (e.g., fasd, z)
- Subcommands such as pazi edit and pazi import for managing the index
- Handles bash PROMPT_COMMAND integration to avoid conflicts with complex prompts
Best for
- Rapid Project Switching: Quickly jump to frequently used project directories from the terminal without typing full paths, accelerating development workflows.
- Migration from Other Jumpers: Import directory histories from tools like z or fasd using `pazi import` to transition with minimal disruption.
- Interactive Directory Selection: Combine pazi with fzf to fuzzy-search and interactively select destinations when many candidate directories match.
- Shell Productivity Customization: Integrate pazi into custom shell prompts and scripts to enable context-aware navigation and shortcuts.
- Lightweight CI/Dev Scripts: Use pazi in developer scripts to programmatically resolve and change to commonly used directories during automation tasks.
- Debugging and Data Editing: Use `pazi edit` to view or modify the internal directory database when cleaning up or troubleshooting navigation behavior.
- Performance-sensitive Environments: Employ pazi in environments where fast directory lookup matters (large histories or frequent jumps) due to its Rust performance.
- Rapidly navigate to frequently used directories from the shell without typing full paths
- Replace or migrate from other autojump-like utilities (fasd, z, autojump)
- Combine with fzf for interactive fuzzy directory selection
- Integrate into developer shell workflows for faster project switching
- Use in scripting contexts that require programmatic directory jumps via the CLI