Manages a research knowledge repository, enabling semantic search and precise citation of original sources for AI tools.
Sponsored
Lore serves as a comprehensive research knowledge repository, designed to capture and organize the invaluable context, decisions, and conversations that accumulate within any project. It addresses the common problem of lost information by making project lore searchable and citable. This system provides robust hybrid search capabilities and ensures every insight links directly back to its original source with full context, rather than just storing processed facts. Lore integrates seamlessly with AI tools via MCP, enabling agentic research where AI can iteratively explore your knowledge and synthesize findings with accurate citations across various file formats.
Key Features
01Hybrid Search (Semantic + keyword with Reciprocal Rank Fusion)
02Citations linking insights to original sources with context
03Comprehensive MCP Integration for AI tools like Claude
04Agentic Research for AI-powered knowledge exploration and synthesis
05Support for universal formats including Markdown, JSON, PDF, images, CSV, and HTML
060 GitHub stars
Use Cases
01Providing full contextual information to AI agents and tools
02Managing project research and accumulated knowledge
03Conducting AI-powered deep research with verifiable citations
