Add Data Olympus

Author: ajdelaguila

README.md

@@ -358,6 +358,7 @@ Tools that manage and sync AI agent configurations, rules, and context across ed
 
 - [Context7](https://context7.com/) — Documentation platform that provides up-to-date, version-specific documentation and code examples for any library directly into Cursor, Claude Code, Windsurf, and other AI coding tools.
 - [ctxlint](https://github.com/YawLabs/ctxlint) — Open-source linter for AI context files (CLAUDE.md, .cursorrules, copilot-instructions.md) that catches stale paths, wrong commands, and token waste by validating against the real codebase.
+- [Data Olympus](https://github.com/knaisoma/data-olympus) - Local-first governed project knowledge for AI coding agents. Exposes an MCP server where agents can consult accepted rules and propose new learnings, while validity windows, supersession links, and human promotion keep stale or unreviewed context out of future prompts.
 - [Entroly](https://github.com/juyterman1000/entroly) - Open-source context optimization engine that cuts AI token costs by 70-95%. Uses submodular knapsack selection and PRISM reinforcement learning to provide the exact context needed to 65+ supported AI coding agents. Features a built-in MCP server, semantic caching, and SimHash deduplication. Apache-2.0.
 - [lean-ctx](https://leanctx.com) — Open-source context runtime for AI coding agents. MCP server (optional shell hook) that compresses file reads, shell output, and codebase search to reduce token usage, often 60–99% on supported workflows. 46 tools, session caching, AST-aware compression for 18 languages, 90+ shell patterns. Apache-2.0.
 - [Caliber](https://github.com/rely-ai-org/caliber) — Open-source CLI that scans your codebase and generates AI agent configs (CLAUDE.md, .cursorrules, skills, MCPs) for Claude Code, Cursor, and Codex. Scores your setup 0-100 and recommends MCP servers.