Caveman

Caveman is a powerful efficiency stack for agent-native development, designed to significantly reduce operational costs. Key features: * Reduces input tokens by compressing data before provider calls * Byte-safe gateway for reliable data handling * Verified savings on operational expenses * Integrates with existing agent skills and diverse models * Open-source ecosystem with strong community backing Caveman operates as a local proxy, wrapping various code models and services. It automatically compresses logs, tool output, and files, leading to a substantial decrease in input tokens. Benchmarks show a 33.2% reduction in input tokens with 18/18 correctness checks, demonstrating both efficiency and accuracy. Additionally, it can run existing agent skills with approximately 70% fewer tokens by processing text as images, a unique approach to data optimization. This platform provides comprehensive oversight of operational spend, automatically applying optimizations like caching, compression, and intelligent routing. It's built on a robust open-source ecosystem, boasting over 97K GitHub stars, ensuring reliability and continuous improvement. Developers gain not only cost savings but also enhanced performance and streamlined interactions with various coding models. Caveman is ideal for development teams, individual developers, and enterprises focused on optimizing their operational expenses and improving the efficiency of their coding and data processing workflows. It’s perfect for those seeking to minimize resource consumption without compromising performance or accuracy.