RemoteCode uses local AI to reduce what Claude and Codex need to read — so you spend fewer paid tokens and control your agents from anywhere. - Just download and use our CLI - Local AI trims what paid models need to read - You get the same quality while spending fewer tokens
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AI is only getting more expensive, and I got tired of hitting usage limits. That’s when I realized expensive models like Claude and Codex were wasting huge numbers of tokens reading verbose tool output when they only needed a tiny fraction of it. Why should an LLM read 1,000 lines of a Node.js test log when all it really needs to know is which test failed and why?
So I built RemoteCode. I trained a specialized local LLM to compress noisy tool output into exactly what premium models need, instead of making them read thousands of unnecessary lines. The result is lower token usage, fewer usage-limit headaches, and the ability to manage my coding agents from my iPhone anywhere in the world.
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