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What is Raysurfer?

Raysurfer is an LLM output caching and reuse infrastructure designed to accelerate Claude-based AI agents by retrieving and reusing similar results instead of regenerating them.

30x Faster

Cached outputs are delivered up to 30x faster than regenerating tokens

Drop-in Replacement

One import change. Same API. Works with your existing Claude Agent SDK code.

Lower Variance

Reuse proven, validated outputs instead of regenerating unpredictable results

Verified Snippets

Execute verified code snippets from previous successful runs

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The Problem

Every time your agent runs, you wait for tokens to generate. The same patterns. The same outputs. Every. Single. Time. You’re paying for tokens. You’re waiting for generation. For code that’s already been generated somewhere else.

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The Solution

Raysurfer instantly pastes proven code from previous generations. No waiting. No regenerating. Just paste. 
Generate once, paste forever.

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How It Works

  1. Store code blocks - Cache your agent’s code outputs with semantic embeddings
  2. Retrieve by task - Describe what you need in natural language
  3. Verdict-aware scoring - The AI gives the code thumbs up or thumbs down over time

Ready to get started?

Follow our quickstart guide to integrate Raysurfer in under 5 minutes