From d6797db9f6bfe4cc1e6e6e816a431d891940e3ca Mon Sep 17 00:00:00 2001
From: Alex Lisenko <159726212+20alexl@users.noreply.github.com>
Date: Wed, 21 Jan 2026 15:18:11 -0500
Subject: [PATCH] Add Mini Claude to Knowledge & Memory

---
 README.md | 1 +
 1 file changed, 1 insertion(+)

diff --git a/README.md b/README.md
index 07fb9166..78eddc7b 100644
--- a/README.md
+++ b/README.md
@@ -938,6 +938,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [louis030195/easy-obsidian-mcp](https://github.com/louis030195/easy-obsidian-mcp) 📇 🏠 🍎 🪟 🐧 - Interact with Obsidian vaults for knowledge management. Create, read, update, and search notes. Works with local Obsidian vaults using filesystem access.
 - [mem0ai/mem0-mcp](https://github.com/mem0ai/mem0-mcp) 🐍 🏠 - A Model Context Protocol server for Mem0 that helps manage coding preferences and patterns, providing tools for storing, retrieving and semantically handling code implementations, best practices and technical documentation in IDEs like Cursor and Windsurf
 - [mercurialsolo/counsel-mcp](https://github.com/mercurialsolo/counsel-mcp) 📇 ☁️ 🏠 🍎 🪟 🐧 - Connect AI agents to the Counsel API for strategic reasoning, multi-perspective debate analysis, and interactive advisory sessions.
+- [Mini Claude](https://github.com/20alexl/mini_claude) - Persistent memory and guardrails for Claude Code. Features mistake tracking, loop detection, scope guard, and hooks that block risky edits. Runs locally with Ollama.
 - [modelcontextprotocol/server-memory](https://github.com/modelcontextprotocol/servers-archived/tree/main/src/memory) 📇 🏠 - Knowledge graph-based persistent memory system for maintaining context
 - [MWGMorningwood/Central-Memory-MCP](https://github.com/MWGMorningwood/Central-Memory-MCP) 📇 ☁️ - An Azure PaaS-hostable MCP server that provides a workspace-grounded knowledge graph for multiple developers using Azure Functions MCP triggers and Table storage.
 - [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