From cf76dad88942124e7dabe045dc965e7bbaaed944 Mon Sep 17 00:00:00 2001 From: Ravichandran K Date: Thu, 11 Jun 2026 20:07:16 +0530 Subject: [PATCH] Add badge to mindmap-mcp-server entry in README Add Glama score badge to mindmap-mcp-server entry --- README.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/README.md b/README.md index f70641792..8781abb69 100644 --- a/README.md +++ b/README.md @@ -1888,7 +1888,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [pinecone-io/assistant-mcp](https://github.com/pinecone-io/assistant-mcp) 🎖️ 🦀 ☁️ - Connects to your Pinecone Assistant and gives the agent context from its knowledge engine. - [pomazanbohdan/memory-mcp-1file](https://github.com/pomazanbohdan/memory-mcp-1file) 🦀 🏠 🍎 🪟 🐧 - A self-contained Memory server with single-binary architecture (embedded DB & models, no dependencies). Provides persistent semantic and graph-based memory for AI agents. - [ragieai/mcp-server](https://github.com/ragieai/ragie-mcp-server) 📇 ☁️ - Retrieve context from your [Ragie](https://www.ragie.ai) (RAG) knowledge base connected to integrations like Google Drive, Notion, JIRA and more. -- [ravi-labs/mindmap-mcp-server](https://github.com/ravi-labs/mindmap-mcp-server) 📇 🏠 - Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport. +- [ravi-labs/mindmap-mcp-server](https://github.com/ravi-labs/mindmap-mcp-server) [![ravi-labs/mindmap-mcp-server MCP server](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/ravi-labs/mindmap-mcp-server) 📇 🏠 - Local-first memory & context-handoff across AI tools — capture context in one tool, resume it in another, with graceful decay, a persona layer, and a portable memory passport. - [remembra-ai/remembra](https://github.com/remembra-ai/remembra) [![remembra MCP server](https://glama.ai/mcp/servers/remembra-ai/remembra/badges/score.svg)](https://glama.ai/mcp/servers/remembra-ai/remembra) 🐍 📇 🏠 ☁️ 🍎 🪟 🐧 - Persistent memory layer for AI agents with entity resolution, PII detection, AES-256-GCM encryption at rest, and hybrid search. 100% on LoCoMo benchmark. Self-hosted. - [redleaves/context-keeper](https://github.com/redleaves/context-keeper) 🏎️ 🏠 ☁️ 🍎 🪟 🐧 - LLM-driven context and memory management with wide-recall + precise-reranking RAG architecture. Features multi-dimensional retrieval (vector/timeline/knowledge graph), short/long-term memory, and complete MCP support (HTTP/WebSocket/SSE). - [Skitchy/rekindle](https://github.com/Skitchy/rekindle) [![Skitchy/rekindle MCP server](https://glama.ai/mcp/servers/Skitchy/rekindle/badges/score.svg)](https://glama.ai/mcp/servers/Skitchy/rekindle) 📇 🏠 🍎 🪟 🐧 - Session continuity engine that solves session orientation. Boot reports with gap detection and 100-point scoring, structured end-session capture with typed continuity records, and BM25 memory search. 7 tools, local SQLite + FTS5, zero API keys. `npx rekindle`