Caveman vs Vizhi

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.

Vizhi (named after the Tamil word for 'eye') is an open-source hardware mission control interface engineered for developers managing concurrent AI coding sessions. Created by indie developer Ravi Shankar during OpenAI Build Week, Vizhi addresses a modern workflow bottleneck: as autonomous coding assistants handle the bulk of software generation, developer attention shifts towards monitoring, approving, and steering multiple terminal processes. Vizhi maps these supervisory tasks directly onto physical hardware via the Logitech MX Creative Keypad, turning its dynamic LCD keys into a dedicated command deck. The system tracks up to six active Codex CLI sessions simultaneously across macOS terminal tabs, binding each session to a persistent LCD key showing its live status and context consumption. When an AI agent reaches a permission checkpoint or command execution gate, the corresponding key lights up in amber or red, enabling instant, one-press approvals directly from the keypad without switching windows. Beyond physical controls, Vizhi integrates offline Whisper-based voice dictation to send spoken prompts straight to agents, backed by TTY-verified safety delivery. For developers without the physical Logitech keypad, Vizhi includes a local browser-based companion dashboard that mirrors session supervision entirely offline.