AI Eyes vs Vizhi
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
AI Eyes
Permission-first co-presence controls for AI companions
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | AI Eyes |  Vizhi |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 63 votes | 68 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#OpenAI Day#Privacy#Open Source | #Developer Tools#OpenAI Day#GitHub#Artificial Intelligence#Open Source |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About AI Eyes
AI Eyes is a permission-first co-presence prototype designed for AI companions. Created by developer Deen Storkey, this open-source tool establishes a privacy-focused, local-first foundation for managing what your digital companions can see and hear.
With its initial v0.1 release, AI Eyes allows users to choose a specific screen or window to capture and gives granular, separate controls for screen, system audio, and microphone inputs. The interface makes it easy to invite named companions and ensures transparency by always displaying when sensing is active. Users can pause or end sessions at any time; ending a session immediately stops all media tracks and resets the session completely.
Built using Codex and GPT-5.6, this prototype is focused entirely on local-first permission, presence, and session-control. Please note that in this foundational stage, no external AI provider or semantic understanding has been connected yet.
Pros of AI Eyes
- Privacy-focused, local-first permission architecture
- Separate, granular control over screen, system audio, and microphone capture
- Clear visual indicators showing when active sensing is occurring
- Open-source code base allowing developers to review and build upon the prototype
Cons of AI Eyes
- It is a prototype (v0.1) and does not yet have an active AI provider or semantic understanding connected
- Limited to foundational capture and session-control features at this stage
Frequently Asked Questions
What is AI Eyes?
AI Eyes is an open-source, permission-first co-presence prototype built to manage what AI companions can access. It provides local-first controls over screen sharing, audio, and session state.
Does AI Eyes currently analyze my screen or voice?
No. In the v0.1 release, no AI provider or semantic understanding is connected. The prototype is currently a local-first foundation focused on permission, capture, presence, and session-control.
How do I control my privacy while using AI Eyes?
AI Eyes lets you choose exactly which screen or window to capture and gives you separate toggle controls for your screen, system audio, and microphone. There is also a clear indicator to show when sensing is active, and you can pause or end the session to stop all media tracks instantly.
What technologies were used to build AI Eyes?
The AI Eyes prototype was built using Codex and GPT-5.6.
About Vizhi
Vizhi (named after the Tamil word for 'eye') is an open-source hardware mission control interface engineered for developers managing concurrent AI coding sessions. Created by indie developer Ravi Shankar during OpenAI Build Week, Vizhi addresses a modern workflow bottleneck: as autonomous coding assistants handle the bulk of software generation, developer attention shifts towards monitoring, approving, and steering multiple terminal processes. Vizhi maps these supervisory tasks directly onto physical hardware via the Logitech MX Creative Keypad, turning its dynamic LCD keys into a dedicated command deck. The system tracks up to six active Codex CLI sessions simultaneously across macOS terminal tabs, binding each session to a persistent LCD key showing its live status and context consumption. When an AI agent reaches a permission checkpoint or command execution gate, the corresponding key lights up in amber or red, enabling instant, one-press approvals directly from the keypad without switching windows. Beyond physical controls, Vizhi integrates offline Whisper-based voice dictation to send spoken prompts straight to agents, backed by TTY-verified safety delivery. For developers without the physical Logitech keypad, Vizhi includes a local browser-based companion dashboard that mirrors session supervision entirely offline.
Pros of Vizhi
- Transforms physical keypad hardware into an intuitive, glanceable control deck for up to six simultaneous Codex CLI sessions
- One-touch hardware approval keys reduce window-switching fatigue during multi-agent workflows
- Completely local and private architecture with on-device Whisper transcription and token-protected TTY verification
- Includes a browser-based local dashboard fallback for developers without the Logitech MX keypad
- Open-source and highly customizable key-binding configuration
Cons of Vizhi
- Full hardware experience requires a specific peripheral (the Logitech MX Creative Keypad)
- Currently tailored specifically to macOS and Apple Terminal environments
- Requires manual local setup spanning multiple toolchain components
Frequently Asked Questions
What is Vizhi and how does it help developers?
Vizhi is an open-source supervisor dashboard that connects Codex CLI agent sessions to the Logitech MX Creative Keypad, allowing developers to monitor active sessions, approve terminal actions with one press, and issue voice prompts.
Do I need a Logitech MX Creative Keypad to use Vizhi?
No. While the system is optimized for the physical LCD keys of the Logitech MX Creative Keypad, Vizhi includes a local browser dashboard that provides full session monitoring and controls on your computer screen.
How does voice prompting work in Vizhi?
Vizhi features a dedicated Voice key powered by local Whisper transcription. Spoken instructions are transcribed on-device without cloud API dependencies and sent directly to the targeted agent terminal.
Is Vizhi safe to use for terminal command approvals?
Yes. Vizhi runs entirely on your local machine and uses token-protected, TTY-verified approval delivery with visual color-coded badges to guard against unauthorized or accidental command executions.