AgentLoop vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
AgentLoop
Starts a fresh Codex worker and critic every cycle
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension | AgentLoop |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 102 votes | 63 votes |
| Supported Platforms | Web | Web |
| Tags & Focus | #Developer Tools#OpenAI Day#GitHub#Artificial Intelligence#Open Source | #Developer Tools#OpenAI Day#Privacy#Open Source |
| Maker / Company | Independent Developer | Independent Developer |
| Platform Verification | Community Listing | Community Listing |
About AgentLoop
AgentLoop is an open-source, zero-dependency Node.js developer tool designed to solve the context-degradation problem typical of long-running AI agent chats. Instead of maintaining a continuous session, AgentLoop starts a fresh Codex worker and critic every single cycle.
Users define their goal and establish a rubric using a GUIDELINES.md file just once. During execution, workers handle the building process while critics test the results. If failures occur, they are transformed into concrete fix notes for the next clean context, allowing project files to carry the necessary memory rather than bloated chat histories.
Runs are designed to stay local, sandboxed, observable, and fully cancellable via a live dashboard. Additionally, developers can leverage ChatGPT control through MCP. For higher standards, a special Polish mode can continue looping past a standard 'PASS' state until the critic formally gives a 'SHIP' status.
Pros of AgentLoop
- Starts a fresh Codex worker and critic every cycle to prevent context degradation
- Project files carry the memory through concrete fix notes rather than long chat histories
- Runs remain local, sandboxed, observable, and cancellable from a live dashboard
- Open source and built with zero-dependency Node.js
- Supports ChatGPT control through MCP and features a Polish mode until the critic says SHIP
Cons of AgentLoop
- Requires managing local execution and environment setup
- Dependent on Codex workers and critics for task completion and testing
- May require fine-tuning of the GUIDELINES.md rubric for optimal performance
Frequently Asked Questions
What is AgentLoop?
AgentLoop is an open-source, zero-dependency Node.js developer tool that starts a fresh Codex worker and critic every cycle, avoiding the memory degradation issues of long-running agent chats.
How does AgentLoop manage memory between cycles?
Instead of relying on a long chat history, project files carry the memory. Failures from the critic are turned into concrete fix notes for the next clean context.
Can I control AgentLoop externally?
Yes, AgentLoop offers ChatGPT control through MCP, and runs can be monitored and cancelled from a live dashboard.
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.