Prompt Piper

Prompts are bloated and expensive, locking users into black-box providers. 

We need: a local, verifiable, community-driven pre-processor that slashes tokens, preserves privacy, and expands your effective context window. 

With the same model + budget, you fit more facts, more tools, more history without sending raw prompts to the cloud. It’s not just cheaper; it’s going to be user-owned intelligence infrastructure.

This is where we return to core values. This is where we introduce Prompt Piper.

https://promptpiper.xyz/ --> https://github.com/vm06007/prompt-piper

Prompt Piper is a direct answer to this challenge. It is a local-first, verifiable, and community-driven pre-processor designed to give more control to the user. It is built on a foundation of open, decentralized rules, creating a power tool that gives ability to reduce cost.

Available also as CLI and ElizaOS Plugin: 

https://www.npmjs.com/package/prompt-piper-cli -> https://www.npmjs.com/package/plugin-prompt-piper-openai

In essence, Prompt Piper is a smart compressor that runs on your device. Before your prompt ever leaves your machine, it intelligently analyzes and shrinks it, slashing the number of tokens sent to a model. This simple act has profound consequences:

It expands your effective context window without expanding your budget. With the same model and the same spend, you can fit more facts, more documents, more tools, and more chat history into every interaction. Or pay less for same results!

• 50% token savings → a 2.0× effective context window
• 40% token savings → a 1.67× effective context window
• 30% token savings → a 1.43× effective context window