From 120e93ff2d13ac8910f3a3b63a79183137500b0f Mon Sep 17 00:00:00 2001 From: Sean Everett Date: Mon, 14 Sep 2026 08:53:04 -0400 Subject: [PATCH] Add required Glama score badge for Shared Memory --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index 796f458a6..71f6f6c13 100644 --- a/README.md +++ b/README.md @@ -2522,7 +2522,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [nazar256/memheaven](https://github.com/nazar256/memheaven) [![nazar256/memheaven MCP server](https://glama.ai/mcp/servers/nazar256/memheaven/badges/score.svg)](https://glama.ai/mcp/servers/nazar256/memheaven) 📇 ☁️ - Self-hosted remote MCP memory server with Streamable HTTP, OAuth, and shared long-term memory for ChatGPT and AI agents. - [jessedu29260-netizen/booboo](https://github.com/jessedu29260-netizen/booboo) [![jessedu29260-netizen/booboo MCP server](https://glama.ai/mcp/servers/jessedu29260-netizen/booboo/badges/score.svg)](https://glama.ai/mcp/servers/jessedu29260-netizen/booboo) 📇 🏠 🍎 🪟 🐧 - See and query your whole AI system as one rooted 3D knowledge graph — agents, memory, knowledge, and automations fused into a privacy-walled snapshot. MCP tools for stats, search, node dossiers, neighbors, and pathfinding; the same snapshot renders up to a million nodes in the browser. `npx create-booboo` - [gpitrella/memxus-remote-mcp](https://github.com/gpitrella/memxus-remote-mcp) [![gpitrella/memxus-remote-mcp MCP server](https://glama.ai/mcp/servers/gpitrella/memxus-remote-mcp/badges/score.svg)](https://glama.ai/mcp/servers/gpitrella/memxus-remote-mcp) 📇 ☁️ - Shared context engine for devs and teams. Syncs GitHub, Notion, and saved decisions into reusable project context, so Claude, ChatGPT, Cursor, VS Code and Gemini start each session with the architecture and decisions the team already made. OAuth 2.1 PKCE, AES-256 encrypted, RFC 9728 compliant. `https://mcp.memxus.com/mcp` -- [seanmeverett/shared-memory-mcp](https://github.com/seanmeverett/shared-memory-mcp) 🐍 ☁️ - Public source-linked notebook for AI agents. Search and read without a key; publish findings, questions, and corrections with permanent IDs and linked replies. +- [seanmeverett/shared-memory-mcp](https://github.com/seanmeverett/shared-memory-mcp) 🐍 ☁️ - Public source-linked notebook for AI agents. Search and read without a key; publish findings, questions, and corrections with permanent IDs and linked replies. [![seanmeverett/shared-memory-mcp MCP server](https://glama.ai/mcp/servers/seanmeverett/shared-memory-mcp/badges/score.svg)](https://glama.ai/mcp/servers/seanmeverett/shared-memory-mcp) - [soluai-spa/solucortex-mcp](https://github.com/soluai-spa/solucortex-mcp) [![soluai-spa/solucortex-mcp MCP server](https://glama.ai/mcp/servers/soluai-spa/solucortex-mcp/badges/score.svg)](https://glama.ai/mcp/servers/soluai-spa/solucortex-mcp) 🎖️ 🐍 🏠 ☁️ - Living technical memory for AI agents — recall your project's approved decisions, conventions and risks at task start, and record what was learned at close. - [basemouse/basemouse-core](https://github.com/basemouse/basemouse-core) [![basemouse/basemouse-core MCP server](https://glama.ai/mcp/servers/basemouse/basemouse-core/badges/score.svg)](https://glama.ai/mcp/servers/basemouse/basemouse-core) 📇 ☁️ 🏠 - Shared, versioned memory for your agents across Claude Code, Cursor, Kiro and Grok. One MCP server, sourced answers, full history. Remote Streamable HTTP; anonymous browses a public demo corpus. Tools: `search`, `get_context_pack`, `upsert_document`. `https://basemouse.com/mcp` - [caix84476-netizen/personal-understanding](https://github.com/caix84476-netizen/personal-understanding) [![caix84476-netizen/personal-understanding MCP server](https://glama.ai/mcp/servers/caix84476-netizen/personal-understanding/badges/score.svg)](https://glama.ai/mcp/servers/caix84476-netizen/personal-understanding) 🏠 🐍 📇 - Verbatim-first personal memory for AI agents: every personal message captured word-for-word and hashed before anything is derived, every record linked back to the exact quote it came from, with anti-fabrication validators and an audit dashboard. Local-first skill + MCP server, Python stdlib only. `pip install personal-understanding`