Piast Gate: Open-Source API Proxy for LLM Data Anonymization

What Piast Gate Does
Piast Gate is an open-source API proxy that sits between your application and an LLM. Its core function is to anonymize sensitive data before sending it to the model, then restore the original data in the response. This enables applications to use LLMs with internal or sensitive data without exposing that information to the model. Integration is designed to be simple—just point your application to the proxy.
Current Features
- Automatic data anonymization → LLM request → de-anonymization
- Integration with Google Gemini API
- Polish language support
- Can run locally
- Option to anonymize text without sending it to an LLM
- Option to anonymize Word documents (.docx)
Planned Features
- Support for additional providers (OpenAI, Anthropic, etc.)
- Support for more languages
- Streaming support
- More advanced anonymization strategies
The project aims to make privacy-aware LLM usage easier to implement in real applications. It's currently in MVP stage and the developer is seeking feedback, ideas, or contributions.
📖 Read the full source: r/LocalLLaMA
👀 See Also

Voxray-AI: Production Go Backend for Real-Time Voice Agent Pipelines
Voxray-AI is a Go backend that chains Whisper → any LLM → TTS into a real-time voice agent pipeline with WebSocket and WebRTC support. It's built for production-grade servers and high-concurrency voice workloads with configurable providers for STT, LLM, and TTS layers.

Clawdwatch: Open-source OSINT tool for real-time flight tracking, news scraping, and alerts
Clawdwatch is a CLI tool that pulls live flight data from OpenSky Network, scrapes news from Al Jazeera and AP, and can send Telegram alerts for military aircraft or emergency squawks. It runs locally with npm install and tracks 204+ flights over the Middle East in real-time.

Building an Agentic RAG for Obsidian with Claude and an Eval Harness to Detect Hallucinations
A developer built an agentic RAG system over an Obsidian vault to let Claude answer questions from engineering books, then created an eval harness using Claude Sonnet as a judge to detect when the agent was confidently wrong. Rubric iterations improved judge-human agreement from 39% to 94%.

Claude Debugs and Fixes Its Own MCP Filesystem Server UNC Path Bug on Windows
A developer used Claude Opus to diagnose and patch a bug in the MCP Filesystem Server where UNC network share paths on Windows failed for subdirectory operations. The fix addresses a path validation issue that prevented access to files and folders within UNC shares.