From e11539bcb34cf3a86430e3d24c7ef0c972d7e07b Mon Sep 17 00:00:00 2001 From: xjtlu Date: Tue, 14 Apr 2026 13:41:51 +0800 Subject: [PATCH] Add context-first-mcp to Knowledge & Memory section --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 3ba469cd..6e2fbf75 100644 --- a/README.md +++ b/README.md @@ -1441,6 +1441,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [chatmcp/mcp-server-chatsum](https://github.com/chatmcp/mcp-server-chatsum) - Query and summarize your chat messages with AI prompts. - [CheMiguel23/MemoryMesh](https://github.com/CheMiguel23/MemoryMesh) 📇 🏠 - Enhanced graph-based memory with a focus on AI role-play and story generation - [ChrisGVE/workspace-qdrant-mcp](https://github.com/ChrisGVE/workspace-qdrant-mcp) [![workspace-qdrant-mcp MCP server](https://glama.ai/mcp/servers/ChrisGVE/workspace-qdrant-mcp/badges/score.svg)](https://glama.ai/mcp/servers/ChrisGVE/workspace-qdrant-mcp) 🦀 📇 🏠 🍎 🪟 🐧 - Project-scoped semantic workspace memory for AI coding assistants. Watches your project files, auto-indexes code and docs into Qdrant with tree-sitter semantic chunking, LSP integration, and hybrid search (dense + sparse + RRF). 6 MCP tools: store, search, retrieve, grep, list, rules. **Alpha** — testers and feedback welcome. +- [context-first-mcp](https://github.com/XJTLUmedia/Context-First-MCP) 📇 ☁️ 🏠 🍎 🪟 🐧 - Session memory, context health monitoring, reasoning quality, and truthfulness verification MCP server with 37 tools and tiered memory storage. `npx -y context-first-mcp` - [contextstream/mcp-server](https://www.npmjs.com/package/@contextstream/mcp-server) 📇 ☁️ 🍎 🪟 🐧 - Universal persistent memory for AI coding tools. Semantic code search, knowledge graphs, impact analysis, decision tracking, and 60+ MCP tools. Works across Cursor, Claude Code, Windsurf, and any MCP client. - [conversation-handoff-mcp](https://github.com/trust-delta/conversation-handoff-mcp) 📇 🏠 - Hand off conversation context between Claude Desktop projects and across MCP clients. Memory-based, no file clutter. - [cryptosquanch/legends-mcp](https://github.com/cryptosquanch/legends-mcp) 📇 🏠 🍎 🪟 🐧 - Chat with 36 legendary founders & investors (Elon Musk, Warren Buffett, Steve Jobs, CZ). AI personas with authentic voices, frameworks, and principles. No API key required.