diff --git a/README.md b/README.md
index 016d7352f..b08f79652 100644
--- a/README.md
+++ b/README.md
@@ -2443,6 +2443,7 @@ Persistent memory storage using knowledge graph structures. Enables AI models to
 - [20alexl/claude-engram](https://github.com/20alexl/claude-engram) [![20alexl/claude-engram MCP server](https://glama.ai/mcp/servers/20alexl/claude-engram/badges/score.svg)](https://glama.ai/mcp/servers/20alexl/claude-engram) 🐍 🏠 - Persistent memory and session intelligence for Claude Code. Auto-tracks mistakes, decisions, and context via hooks. Mines session history for patterns and cross-session search. Loop detection, pre-edit warnings, context compaction survival. Runs locally with Ollama.
 - [timmx7/acheron-mcp-server](https://github.com/timmx7/acheron-mcp-server) [![acheron-mcp-server MCP server](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server/badges/score.svg)](https://glama.ai/mcp/servers/timmx7/acheron-mcp-server) 📇 🏠 - Cross-surface persistent memory for Claude. Bridges context between Claude Chat, Code, and Cowork via local SQLite with full-text search. Save decisions, preferences, and insights in one surface, retrieve them in any other.
 - [turbyho/mem-context](https://github.com/turbyho/mem-context) [![turbyho/mem-context MCP server](https://glama.ai/mcp/servers/turbyho/mem-context/badges/score.svg)](https://glama.ai/mcp/servers/turbyho/mem-context) 🐍 🏠 🍎 🐧 - Temporal memory MCP server with LanceDB vector search, weight-decay scoring, and LLM consolidation. Automatic session capture, deduplication, 6-factor relevance scoring. `pip install mem-context`
+- [Terobyte/librarian-cli](https://github.com/Terobyte/librarian-cli) [![librarian-cli MCP server](https://glama.ai/mcp/servers/Terobyte/librarian-cli/badges/score.svg)](https://glama.ai/mcp/servers/Terobyte/librarian-cli) 🐍 🏠 🍎 🪟 🐧 - Give Claude your bookshelf: deterministic ebook-to-Markdown pipeline (FB2/EPUB/DOCX/HTML/PDF) with FTS5 search and 6 read-only tools to browse, search, read chapters under a token budget, and verify quotes. No embeddings, no network, no API keys.
 - [TeleAI-UAGI/telemem](https://github.com/TeleAI-UAGI/telemem) [![TeleAI-UAGI/telemem MCP server](https://glama.ai/mcp/servers/TeleAI-UAGI/telemem/badges/score.svg)](https://glama.ai/mcp/servers/TeleAI-UAGI/telemem) 🐍 🏠 ☁️ 🍎 🪟 🐧 - Long-term and multimodal memory for AI agents, usable as a drop-in replacement for Mem0. Character-isolated memory profiles, LLM-based semantic deduplication, FAISS + JSON dual storage, optional fully-local stack (Ollama/Qwen, no cloud), and video memory with ReAct-style QA. 8 tools. `pip install "telemem[mcp]"` then `telemem-mcp`
 - [agentic-mcp-tools/memora](https://github.com/agentic-mcp-tools/memora) 🐍 🏠 ☁️ - Persistent memory with knowledge graph visualization, semantic/hybrid search, cloud sync (S3/R2), and cross-session context management.
 - [Thezenmonster/agentmem](https://github.com/Thezenmonster/agentmem) [![Thezenmonster/agentmem MCP server](https://glama.ai/mcp/servers/Thezenmonster/agentmem/badges/score.svg)](https://glama.ai/mcp/servers/Thezenmonster/agentmem) 🐍 🏠 🍎 🪟 🐧 - Governed memory for coding agents with trust lifecycle (hypothesis → active → validated → deprecated), conflict detection, staleness tracking, and health scoring. SQLite + FTS5, zero infrastructure. `pip install quilmem[mcp]`