Memex

소개

Memex empowers large language models (LLMs) by providing them with a persistent, searchable 'second brain' derived from your markdown vaults, akin to Obsidian. It creates a local index with full-text search, embeddings for semantic similarity, and a wikilink graph, allowing LLMs to grow their knowledge base, document findings, model your preferences, and recall past work across sessions. This tool enables agents to perform semantic searches, explore knowledge graph connections, and leverage existing documentation for enhanced decision-making and workflow integration.

주요 기능

• Semantic and full-text search over markdown vaults
• Generates embeddings for enhanced knowledge retrieval
• Indexes wikilink graphs for relationship exploration
• Automatically re-indexes changed files for up-to-date knowledge
• Integrates seamlessly with Claude Code for LLM interaction
• 0 GitHub stars

사용 사례

• Equipping LLMs with a persistent, growing knowledge base
• Facilitating semantic search and exploration of markdown-based 'second brains' (e.g., Obsidian vaults) by AI agents
• Enabling LLMs to document findings, model user preferences, and recall past work across sessions