From eb47716a8fc6d26a7eeab498820d05340b062626 Mon Sep 17 00:00:00 2001 From: linklore Date: Tue, 28 Jul 2026 14:34:58 +0900 Subject: [PATCH] Add linklore/linklore-mcp to Knowledge & Memory MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Author here — adding our MCP server. AI-native structured memory for coding agents (PyPI: llre). --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index da0c183cd..ec1b37796 100644 --- a/README.md +++ b/README.md @@ -2199,6 +2199,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to - [bitbonsai/mcp-obsidian](https://github.com/bitbonsai/mcp-obsidian) 📇 🏠 🍎 🪟 🐧 - Universal AI bridge for Obsidian vaults using MCP. Provides safe read/write access to notes with 11 comprehensive methods for vault operations including search, batch operations, tag management, and frontmatter handling. Works with Claude, ChatGPT, and any MCP-compatible AI assistant. - [bluzername/lennys-quotes](https://github.com/bluzername/lennys-quotes) 📇 🏠 - Query 269 episodes of Lenny's Podcast for product management wisdom. Search 51,000+ transcript segments with YouTube timestamps. Perfect for PRDs, strategy, and PM career advice. - [lildaddyo/braintube-mcp](https://github.com/lildaddyo/braintube-mcp) [![lildaddyo/braintube-mcp MCP server](https://glama.ai/mcp/servers/lildaddyo/braintube-mcp/badges/score.svg)](https://glama.ai/mcp/servers/lildaddyo/braintube-mcp) 📇 ☁️ - Compiles saved YouTube videos, podcasts, articles, PDFs, and Notion/Obsidian notes into a persistent, semantically searchable knowledge base any AI can query over MCP. +- [linklore/linklore-mcp](https://github.com/linklore/linklore-mcp) 🐍 🏠 - AI-native structured memory for coding agents — typed lore/doc entries with status and links, read and written by agents via MCP. - [cameronrye/openzim-mcp](https://github.com/cameronrye/openzim-mcp) 🐍 🏠 - Modern, secure MCP server for accessing ZIM format knowledge bases offline. Enables AI models to search and navigate Wikipedia, educational content, and other compressed knowledge archives with smart retrieval, caching, and comprehensive API. - [carrasquelalex1/hipocampo](https://github.com/carrasquelalex1/hipocampo) [![carrasquelalex1/hipocampo MCP server](https://glama.ai/mcp/servers/carrasquelalex1/hipocampo/badges/score.svg)](https://glama.ai/mcp/servers/carrasquelalex1/hipocampo) 🐍 🏠 🍎 🪟 🐧 - Dual-memory MCP system (PostgreSQL 17 + pgvector + NVIDIA NIM). 11 tools: search, save, profile, health, auto-repair, stats, tune, dedup, checkpoint, maintenance. Sparse Selective Caching (SSC) with 4-phase progressive retrieval. Bilingual EN/ES. `python scripts/hipocampo_mcp_server.py` - [catfish-1234/sessionmem](https://github.com/catfish-1234/sessionmem) [![catfish-1234/sessionmem MCP server](https://glama.ai/mcp/servers/catfish-1234/sessionmem/badges/score.svg)](https://glama.ai/mcp/servers/catfish-1234/sessionmem) 📇 🏠 - Local-first memory layer for AI coding assistants. Watches your coding sessions and injects a compact summary at the start of each new session. No cloud, no account, just a SQLite file on your machine. Works with Claude Code, Cursor, Cline, Windsurf, and any other MCP host.