Empower AI models with persistent, searchable memory by serving as a knowledge base for documents and web content.
Sponsored
Biblium is an AI's personal library, functioning as a knowledge base server that provides Large Language Models (LLMs) with persistent, searchable memory. It integrates seamlessly with MCP clients like Claude Desktop, allowing users to store documentation, notes, and any text into named collections. Biblium indexes content using BM25 ranking, making it instantly retrievable by AI assistants, thereby overcoming the stateless nature of LLMs and enhancing their contextual understanding.
Key Features
010 GitHub stars
02Single, portable binary with minimal dependencies (Go, SQLite transpiled to Go)
03Operates entirely offline without requiring cloud services or API keys
04Supports URL ingestion with a user approval workflow to fetch and convert web pages to markdown
05Provides a full-text search capability across all collections using BM25 ranking
06Lightweight with a small binary size (~17 MB) and auditable codebase
Use Cases
01Providing AI assistants with a persistent and searchable memory for specific domains or personal notes
02Storing and organizing documentation, articles, and web content into named knowledge collections for AI retrieval
03Extending the capabilities of LLMs by enabling them to query and reference a user-controlled information repository
