From e02f91c2a077496224445dc2fde5c8f601f42ddb Mon Sep 17 00:00:00 2001
From: eidetic-works <190236740+eidetic-works@users.noreply.github.com>
Date: Wed, 24 Jun 2026 08:13:48 +0530
Subject: [PATCH] Add Nucleus MCP to Knowledge & Memory section

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

diff --git a/README.md b/README.md
index e5dedb011..dcd359bf3 100644
--- a/README.md
+++ b/README.md
@@ -1395,6 +1395,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [AgentModule/mcp](https://github.com/AgentModule/mcp) [![AgentModule/mcp MCP server](https://glama.ai/mcp/servers/AgentModule/mcp/badges/score.svg)](https://glama.ai/mcp/servers/AgentModule/mcp) 📇 ☁️ - Agent-native knowledge infrastructure. Deterministic, vertical-specific knowledge bases engineered for autonomous agent consumption via MCP. Ethics module (22 modules, EU AI Act mapped) included with every membership. Free 24hr ethics trial.
 - [AlekseiMarchenko/central-intelligence](https://github.com/AlekseiMarchenko/central-intelligence) [![central-intelligence MCP server](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence/badges/score.svg)](https://glama.ai/mcp/servers/AlekseiMarchenko/central-intelligence) 📇 ☁️ - Persistent memory for AI agents. Five tools (remember, recall, context, forget, share) with semantic search via vector embeddings and agent/user/org scoping. Works with Claude Code, Cursor, Windsurf, and any MCP client.
 - [epicsagas/alcove](https://github.com/epicsagas/alcove)[![alcove MCP server](https://glama.ai/mcp/servers/epicsagas/alcove/badges/score.svg)](https://glama.ai/mcp/servers/epicsagas/alcove) 🦀 🏠 🍎 🪟 🐧 - MCP server that gives AI coding agents on-demand access to private project docs via BM25 ranked search. One setup for Claude Code, Cursor, Codex, Gemini CLI, and more. Docs stay private, never in public repos.
+- [eidetic-works/nucleus-mcp](https://github.com/eidetic-works/nucleus-mcp) [![nucleus-mcp MCP server](https://glama.ai/mcp/servers/eidetic-works/nucleus-mcp/badges/score.svg)](https://glama.ai/mcp/servers/eidetic-works/nucleus-mcp) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Sovereign Agent OS — persistent memory, governance, and audit trails for AI agents. One brain for Cursor, Claude Code, Windsurf, and Gemini. Local-first `.brain/` directory with engrams, hypervisor file protection, and optional remote sync. `pip install nucleus-mcp` or Streamable HTTP at `relay.nucleusos.dev`.
 - [alibaizhanov/mengram](https://github.com/alibaizhanov/mengram) [![mengram MCP server](https://glama.ai/mcp/servers/@alibaizhanov/mengram/badges/score.svg)](https://glama.ai/mcp/servers/@alibaizhanov/mengram) 🐍 ☁️ 🏠 🍎 🪟 🐧 - Human-like memory layer for AI agents with semantic, episodic, and procedural memory. Claude Code hooks (auto-save, auto-recall, cognitive profile). 29 MCP tools, knowledge graph, smart triggers, multi-user isolation. Python & JS SDKs.
 - [apecloud/ApeRAG](https://github.com/apecloud/ApeRAG) 🐍 ☁️ 🏠 - Production-ready RAG platform combining Graph RAG, vector search, and full-text search. Best choice for building your own Knowledge Graph and for Context Engineering
 - [besslframework-stack/project-tessera](https://github.com/besslframework-stack/project-tessera) [![project-tessera MCP server](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera/badges/score.svg)](https://glama.ai/mcp/servers/@besslframework-stack/project-tessera) 🐍 🏠 🍎 🪟 🐧 - Local workspace memory for Claude Desktop. Indexes your documents (Markdown, CSV, session logs) into a vector store with hybrid search, cross-session memory, auto-learn, and knowledge graph visualization. Zero external dependencies — fastembed + LanceDB, no Ollama or Docker required. 15 MCP tools.