Loopgraph vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Loopgraph
Open-source loop engineering for autonomous companies
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | Loopgraph |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 9 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Artificial Intelligence#Developer Tools#Open Source#GitHub | #Developer Tools#Open Source#Privacy#OpenAI Day |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About Loopgraph
Loopgraph is an open-source tool designed for loop engineering in autonomous companies, transforming recurring corporate workflows into governed, visual AI loops. Moving beyond basic prompt chains and direct webhooks, Loopgraph introduces a structured approach to automation by separating reasoning from authority.
With Loopgraph, teams can interview a department to generate versioned LoopSpecs. Its routing component, Hermes, handles event routing to the appropriate loop. The system provides tools to validate, simulate, approve, trace, and thoroughly review every outcome. Crucially, Hermes acts as a proposer while a deterministic policy engine decides what is permitted to run, ensuring safety and compliance across operations.
Built to be completely open-source, local-first, and model-agnostic, Loopgraph provides developers and organizations with robust infrastructure to orchestrate autonomous workflows with enterprise-grade governance.
Pros of Loopgraph
- Separates AI reasoning from authority using a deterministic policy engine
- Open-source, local-first, and model-agnostic architecture
- Generates versioned LoopSpecs through departmental interviews
- Comprehensive capabilities for simulation, validation, tracing, and review
Cons of Loopgraph
- Requires technical setup as a developer tool
- May have a learning curve for defining LoopSpecs and deterministic policies
- Relies on external large language models (bring-your-own-model approach)
Frequently Asked Questions
What is Loopgraph?
Loopgraph is an open-source tool that turns recurring company work into governed, visual AI loops. It separates AI reasoning from authority, allowing Hermes to propose actions while a deterministic policy decides what may run.
Is Loopgraph open-source?
Yes, Loopgraph is open-source, local-first, and model-agnostic, available via GitHub for developers and autonomous companies.
How does Loopgraph handle security and governance?
Loopgraph separates reasoning from authority. While Hermes (the event router) proposes actions, a deterministic policy engine strictly decides what processes are allowed to run.
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.