Distillery functions as a team-accessible second brain, designed to combat the daily loss of valuable team knowledge from various sources like pairing sessions, meetings, and conversations. It captures, classifies, connects, and surfaces this information into a living, searchable graph, leveraging vector embeddings and natural language processing. Accessible via Claude Code skills, Distillery refines raw data into concentrated, actionable insights, providing a powerful tool for collective intelligence and knowledge retention, inspired by the 'Distill' step of the 'Building a Second Brain' methodology.
Key Features
01Automated monitoring and digestion of external information feeds
02Semantic search with provenance for efficient knowledge retrieval
03Intelligent classification and semantic deduplication of knowledge entries
04Conversational knowledge capture and organization via slash commands
05Multi-entry synthesis that provides structured answers with citations
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