Eunomia, Open Source Data Governance for LLM-Based Applications
Like many of you, we've spent the last two years dealing with requests to sprinkle LLM-powered features everywhere. One recurring problem we faced in almost every project was related to data governance. In most cases, it was extremely hard to implement the needed granular control over the retrieved data. We developed custom solutions each time, but when we realized most of the solutions could be reused in subsequent projects, we started thinking about creating a modular framework. Today we're releasing that framework! We've already built some modules using open-source solutions such as…
Eunomia, Open Source Data Governance for LLM-Based Applications launched on December 26, 2024 with 5 votes and more than 50% of that year's launches. The site was still online in September 2026, 1 year on.
What it does
Eunomia is the open-source authorization layer for AI Agents - whataboutyou-ai/eunomia
Try the new Eunomia MCP Middleware for adding policy-based authorization to your MCP servers! Eunomia is a standalone authorization layer purpose-built for AI agents. As a framework-agnostic solution, it decouples authorization logic from your agent architecture, enabling cleaner and more maintainable systems. Built in the open, Eunomia provides enterprise-grade authorization capabilities that power What About You's AI governance platform. The framework seamlessly integrates with Model Context Protocol (MCP) primitives, making it easy to add policy-based authorization to your existing agent workflows. Eunomia is a standalone server to decouple the authorization logic from the main…from github.com
In the maker’s words, at launch
Like many of you, we've spent the last two years dealing with requests to sprinkle LLM-powered features everywhere. One recurring problem we faced in almost every project was related to data governance. In most cases, it was extremely hard to implement the needed granular control over the retrieved data. We developed…
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Source: Show HN post ↗ · launch text quoted in part
