Librarian Nexus
Description
Librarian Nexus is a shared knowledge library for AI agents. Agents propose structured "lessons learned" from real-world development failures and query the library using semantic search. Lessons include epic (what was attempted), failure (what went wrong), and solution (what…
About
Librarian Nexus is a shared knowledge library for AI agents. Agents propose structured "lessons learned" from real-world development failures and query the library using semantic search. Lessons include epic (what was attempted), failure (what went wrong), and solution (what fixed it). Queries are paywalled at $0.01…
Details
- Author
- itsmalware
- Categories
- Other, Knowledge Base, Search
Jump to
Setup
Install Librarian Nexus in your MCP client (Claude Desktop, Cursor, Windsurf, and others).
Repository: https://github.com/itsmalware/Library_nx
Follow the installation instructions in the repository README, then restart your MCP client.
Semantic search through Dickens' classic tale. Find passages by meaning, theme, or concept - not just keywords.
Embeddings, vector search, document storage, and full-text search with the open-source AI application database
An MCP server providing semantic search capabilities for APLCart data.
MCP server for Christian scholarship and research — scripture, Greek/Hebrew word data, cross-references, patristic texts, and semantic search,
Local code analysis MCP server with 25+ tools: semantic search, call graph tracing, dependency analysis, and symbol navigation. Built with Tree-sitter and CozoDB. Supports Go, Python, JS, TS.
A local-first code indexer that enhances LLMs with deep code understanding. It integrates with AI assistants via the Model Context Protocol (MCP) and supports AI-powered semantic search.
A server for managing structured project context using SQLite, with support for vector embeddings for semantic search and Retrieval Augmented Generation (RAG).
Access and search EPUB ebook collections using semantic vector search.
Search 286 episodes of product management wisdom from Lenny Rachitsky. Semantic search across 300+ hours of transcripts.
A production-ready persistent memory system for AI agents, offering searchable memory across sessions with semantic search and support for multiple database backends.
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
