AI Eyes vs Aming Claw
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 | |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 63 votes | 5 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#Open Source#Privacy#OpenAI Day | #Developer Tools#Open Source#OpenAI Day |
| 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 Aming Claw
Aming Claw is an innovative open-source governance infrastructure designed specifically to tackle the common problem of AI agent drift during long-running tasks. As agents execute extended workflows, they frequently lose their verified state and begin guessing their next actions, leading to errors and inefficiency. This tool steps in to verify an agent's exact position, enforce a single legal next step, and maintain robust causal evidence across different task handoffs. By integrating a graph-backed backlog, independent worker and QA roles, auditable bypasses, and controlled merge or reconcile flows, Aming Claw transforms how developers manage autonomous systems. Instead of humans constantly stepping in as an expensive GPS to correct course, the infrastructure handles oversight so that human intervention is reserved purely for critical high-level judgment.
Pros of Aming Claw
- Prevents AI agent drift during complex, long-running operations
- Maintains clear causal evidence and verified state across handoffs
- Introduces independent worker and QA roles for better reliability
Cons of Aming Claw
- Requires a learning curve to properly configure graph-backed backlogs and workflows
- Early-stage open-source project with a growing community and ecosystem
Frequently Asked Questions
What is the primary purpose of Aming Claw?
Aming Claw provides governance infrastructure for reliable, long-running AI agents by verifying their state and preventing task drift.
Is Aming Claw open-source?
Yes, Aming Claw is open-source developer tooling designed to help teams build and maintain robust autonomous workflows.