トークン効率に関連する測定済みカタログ項目です。
Claude Code mod: picks the reasoning effort for every prompt, shows the prompt cache and context, and hands off or compacts in one click
Keep Claude Code’s prompt cache warm during breaks and show the estimated cost before a cold send.
A Claude Code mod that puts a live agent dashboard in your terminal: context and cost, advisor timeline, every permission check, subagent cards and swimlanes.
CLI proxy that reduces LLM token consumption by 60-90% on common dev commands. Single Rust binary, zero dependencies
Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.
📱🐭 No we are not computer use, it's Application Use Via... a unified orchestration layer of OS automation, 0 token cost
Claude Code mod: hands off to a fresh conversation when context fills up, keeps the cache warm while you're away, and turns what you teach Claude into project notes
Context optimization for AI coding agents — lower token cost and latency without sacrificing accuracy.
Cut your AI coding agent's token bill on three axes: terse prose, YAGNI-first code, and tool-output compression. Claude Code, Pi, Cursor, Codex, Gemini + 4 more. Zero deps, published benchmarks including the runs it loses.
Find the ghost tokens. Fix them. Survive compaction. Avoid context quality decay.