rohansx

Privacy middleware for LLM & RAG pipelines - consistent pseudonymization, encrypted vault, SSE streaming rehydration.

15
4
100% credibility
Found Mar 09, 2026 at 13 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Rust
AI Summary

CloakPipe is a privacy tool that automatically hides sensitive information like names, emails, and financial details in messages to AI services by replacing them with consistent placeholders and restoring them in responses.

How It Works

1
🔍 Discover CloakPipe

You hear about CloakPipe, a friendly shield that keeps your personal details private when talking to AI chat services.

2
📥 Install easily

Grab CloakPipe on your computer with one simple download command, no hassle.

3
⚙️ Quick setup

Run the setup helper to prepare your privacy guard with smart defaults.

4
🔐 Hide your secrets

Create a secure hiding spot for names, emails, numbers, and keys so AI sees safe stand-ins instead.

5
🚀 Turn it on

Start CloakPipe and it quietly watches over your AI conversations.

6
🔗 Point your tools here

Update your app or script to send messages through CloakPipe's safe doorway.

🛡️ Safe and smart chats

Your private info stays hidden forever, but you enjoy full, real answers from the AI every time.

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Star Growth

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AI-Generated Review

What is cloakpipe?

CloakPipe is a Rust-built privacy middleware that acts as a drop-in proxy for LLM and RAG pipelines, automatically detecting sensitive data like emails, financial amounts, and secrets in requests to OpenAI-compatible APIs. It replaces them with consistent pseudonyms—same entity always gets the same token—stores mappings in an encrypted vault, and rehydrates responses on the way back, including SSE streaming. Developers get zero-code-change protection: just swap your API base URL to localhost:8900.

Why is it gaining traction?

Unlike basic github privacy apps or redaction tools that break semantic search, CloakPipe preserves meaning for embeddings and multi-turn chats with its consistent pseudonymization and rehydration. Rust delivers sub-5ms overhead in a single binary—no Docker or Python deps—plus CLI testing, industry profiles for fintech/healthcare/legal, and MCP tools for agents like Claude. It proxies LangChain, LlamaIndex, even local Ollama, beating cloud-locked github privacy tools.

Who should use this?

Backend devs building RAG apps with user docs or financial data hitting external LLMs, especially in regulated fields like fintech (SWIFT/IBAN detection) or healthcare (HIPAA-aware). Teams paranoid about PII leaks to providers, or privacy github copilot users wanting middleware for pipelines without SDK rewrites.

Verdict

Grab it if you're prototyping LLM privacy—excellent docs, 66 tests, crates.io-ready CLI make it dead simple to eval. At 13 stars and 1.0% credibility, it's early alpha; production needs more battle-testing, but Rust security and vault encryption lower risks now.

(198 words)

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