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Dev tools · July 10, 2026

SuperCompress

Cut your LLM Token Costs by 65%

SuperCompress launched on July 10, 2026 with 16 votes, #1,041 of 24,623 launches that month and more than 95% of that year's launches.

What it does

SuperCompress is open-source prompt compression that cuts LLM token costs by ~65%. Reduce input tokens before OpenAI, Claude, Gemini, RAG, chatbot, and agent calls while preserving answer-critical evidence. It's easily integrable into your app via the Supercompress API, so you can save money but keep users happy. It preserves more than 98% of critical content, while removing more than 65% of tokens on average.

SuperCompress is open-source prompt compression that cuts LLM token costs by ~65%. Reduce input tokens before OpenAI, Claude, Gemini, RAG, chatbot, and agent calls while preserving answer-critical evidence.

For teams running chat, RAG, support, or coding agents. SuperCompress removes low-value context before inference—so your models do more with the tokens you already pay for. const result = await compress ({ context: conversation, query: "What failed in the last deploy?" , mode: "compiler" }) // → kept answer-critical lines; cut waste COMPILER MODE 0%+ Mean Token Cut Drop as much as possible on held-out LongBench / OOD dumps — typically ~58–66% mean cut. Always target >98% answer-critical retention. Pooled held-out gold containment: 99.4% (180/181). Semantic keep/drop vs the current ask. No extra LLM summarizer call. Retains critical information, intent, and structure—so your models stay…from supercompress.dev

Does a similar job

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