Merge pull request #12189 from nworks3d/add-thor-memory

Add THOR to Knowledge & Memory

README.md

@@ -2717,6 +2717,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [nicholasglazer/gnosis-mcp](https://github.com/nicholasglazer/gnosis-mcp) 🐍 🏠 - Zero-config MCP server for searchable documentation. Loads markdown into SQLite (default) or PostgreSQL with FTS5/tsvector keyword search and optional pgvector hybrid semantic search.
 - [nonatofabio/local-faiss-mcp](https://github.com/nonatofabio/local_faiss_mcp) 🐍 🏠 🍎 🐧 - Local FAISS vector database for RAG with document ingestion (PDF/TXT/MD/DOCX), semantic search, re-ranking, and CLI tools for indexing and querying
 - [novyxlabs/novyx-mcp](https://github.com/novyxlabs/novyx-core/tree/main/packages/novyx-mcp) [![novyx-mcp-desktop MCP server](https://glama.ai/mcp/servers/@novyxlabs/novyx-mcp-desktop/badges/score.svg)](https://glama.ai/mcp/servers/@novyxlabs/novyx-mcp-desktop) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Persistent AI agent memory with rollback, audit trails, semantic search, and knowledge graph. Zero-config local SQLite mode or cloud API. 23 tools, 6 resources, 3 prompts.
+- [nworks3d/THOR-memory-bible-for-AI](https://github.com/nworks3d/THOR-memory-bible-for-AI) [![nworks3d/THOR-memory-bible-for-AI MCP server](https://glama.ai/mcp/servers/nworks3d/THOR-memory-bible-for-AI/badges/score.svg)](https://glama.ai/mcp/servers/nworks3d/THOR-memory-bible-for-AI) 🦀 🏠 🪟 🐧 - Local memory for coding agents that can refuse, not only recall. A rule carrying a machine-checkable proof blocks the matching command before it runs; prose-only rules can warn but never block. Append-only event log, per-project scoping, and a health report that names the facts whose anchor has rotted. No account, no API key, no cloud.
 - [olgasafonova/mediawiki-mcp-server](https://github.com/olgasafonova/mediawiki-mcp-server) 🏎️ ☁️ 🏠 🍎 🪟 🐧 - Connect to any MediaWiki wiki (Wikipedia, Fandom, corporate wikis). 33+ tools for search, read, edit, link analysis, revision history, and Markdown conversion. Supports stdio and HTTP transport.
 - [omega-memory/omega-memory](https://github.com/omega-memory/omega-memory) 🐍 🏠 🍎 🪟 🐧 - Persistent memory for AI coding agents with semantic search, auto-capture, cross-session learning, and intelligent forgetting. 28 MCP tools, local-first.
 - [ontorata/ratary](https://github.com/ontorata/ratary) [![ontorata/ratary MCP server](https://glama.ai/mcp/servers/ontorata/ratary/badges/score.svg)](https://glama.ai/mcp/servers/ontorata/ratary) 📇 🏠 ☁️ 🍎 🪟 🐧 - Persistent coding memory for AI assistants — hybrid search, knowledge graph, token-efficient context. MCP stdio (28 tools), npm `@ratary/mcp-server`, optional remote Streamable HTTP. Self-host D1, Postgres, MariaDB, or Docker.