Caveman vs AI Eyes
Comprehensive feature analysis, ratings breakdown, platform compatibility, and community review comparison.
Detailed Feature Comparison Matrix
Compare Other Tools| Dimension |  Caveman |  AI Eyes |
|---|---|---|
| Primary Category | Open Source | Open Source |
| Community Rating | No ratings(0 reviews) | No ratings(0 reviews) |
| Community Upvotes | 162 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 Caveman
Caveman is an open-source developer tool designed around a simple yet powerful premise: "why use many token when few do trick." Built by maker Julius Brussee, Caveman allows developers to wrap AI coding assistants and LLM workflows—such as Claude Code, Codex, and Hermes—with a single command.
At its core, Caveman operates as a local proxy that intelligently compresses logs, tool outputs, and source code files before sending them to LLM provider endpoints. In a pinned 54-run benchmark, Caveman reduced input tokens by 33.2% while achieving 18/18 correctness checks, ensuring token savings do not compromise code or task accuracy.
In addition to compressing standard logs and file outputs, Caveman can execute existing agent skills with approximately 70% fewer tokens by rendering and loading text as images. Backed by a thriving open-source ecosystem with over 97,000 GitHub stars, Caveman provides a practical, efficient solution for optimizing developer workflows and reducing API usage costs.
Pros of Caveman
- Reduces input tokens by 33.2% while maintaining 100% accuracy in benchmark checks
- Wraps tools like Claude Code, Codex, and Hermes with a single command
- Saves ~70% on token usage for agent skills by loading text as images
- Operates locally via a proxy to process logs, files, and tool outputs before API calls
- Built on an established open-source ecosystem with 97K+ GitHub stars
Cons of Caveman
- Designed specifically for CLI and developer workflows rather than non-technical end users
- Requires executing tasks through a local proxy pipeline
Frequently Asked Questions
What is Caveman?
Caveman is a developer tool that wraps AI tools like Claude Code, Codex, and Hermes with a local proxy, compressing logs, tool outputs, and files before provider API calls to minimize token consumption.
How many tokens can Caveman save?
In a 54-run benchmark, Caveman achieved a 33.2% reduction in input tokens while passing 18 out of 18 correctness checks. It can also reduce token usage by ~70% when loading text as images for agent skills.
Which models and tools does Caveman work with?
Caveman wraps tools and provider calls including Claude Code, Codex, Hermes, and other agent workflows via its local proxy command.
Is Caveman open source?
Yes, Caveman is part of an open-source ecosystem that boasts over 97,000 GitHub stars.
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.