Did you guys know about this tool "S.A.G.E - CLI" that saved me $45 in AI tokens by compressing terminal output 93% in just 3 days of using it.

A developer built S.A.G.E (Smart Agent Guidance Engine), an open-source CLI tool that compresses terminal output by 93% to reduce AI token usage. The tool saved the developer $45 in AI tokens over three days by processing 6,613 commands and cutting 30,000 tokens to 2,000. S.A.G.E also uses specialized agents to catch errors and secrets, and runs locally for privacy.

I've been using AI coding assistants Claude, Codex, etc. and kept hitting token limits because terminal output is SUPER noisy. A single pytest command can eat 30,000 tokens of your context. So I started using SAGE Smart Agent Guidance Engine - it sits between your terminal and AI agents, compressing output by 93% while keeping all the important stuff. CLI install pip install psycgod-sage sage connect Git OAuth What it does: - Wraps your commands: sage run -- pytest - Compresses output in real-time 30k tokens → 2k - 10+ specialized agents watch for errors, secrets, dependencies - ML learns your command patterns to predict failures - Everything stays local by default privacy-first Real numbers from my usage: - Processed: 6,613 commands - Saved: 15.3 million tokens would cost ~$45 at Claude Sonnet rates - Agent runs: 41,578 caught secrets, predicted errors, etc. Why I'm sharing: It's a open-source, free and because I figured others hit the same problem. It's MIT licensed, runs locally, and has a live dashboard showing aggregate proof no raw data . Repo GitHub: /PsYcGoD/sage The compression alone saves tokens, but the agents catching secrets before you commit them? That's saved me a few times already. Questions welcome Would love feedback from the community.†