Tempest vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension |  Tempest |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 7 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 Tempest
Tempest is an open-source developer tool built to optimize how AI coding agents interact with codebases. If you regularly run multiple AI coding agents simultaneously, you likely face the issue of every agent repeatedly wasting valuable tokens just to understand and parse the same repository structure.
Tempest solves this inefficiency by indexing your repository just once. It then allows you to run every agent in its own isolated workspace while leveraging a shared understanding of the codebase. By eliminating redundant parsing and analysis, Tempest delivers up to 64% fewer tokens for any agent you deploy, making your parallel AI engineering workflows significantly more efficient and cost-effective.
Pros of Tempest
- Reduces token usage by up to 64% for AI coding agents
- Indexes your repository once to avoid redundant analysis
- Runs every agent in its own isolated workspace
- Open-source developer tool with GitHub integration
Cons of Tempest
- Primarily tailored for developers running multiple AI coding agents in parallel
- Requires initial setup to index your repository
Frequently Asked Questions
What is Tempest?
Tempest is an open-source developer tool that helps you run multiple AI coding agents in parallel while using up to 64% fewer tokens by indexing your repository once and sharing codebase understanding across isolated workspaces.
How does Tempest reduce token usage?
Instead of having multiple AI agents independently analyze and parse the same repository from scratch—which wastes tokens—Tempest indexes your repository once. It then provides every agent in its own isolated workspace with that shared understanding.
Is Tempest open source?
Yes, Tempest is categorized under open-source developer tools and is accessible via GitHub.
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.