LLM Powered Semantically Aware Memory System that Answers questions no keyword search ever could.
In Simple terms: a Searchable Database that stores MEANING – Not Keywords. A production retrieval pipeline — Telegram capture, LLM-based extraction, vector embeddings, and an MCP server sitting in front of Supabase/pgvector — queryable in plain language from Claude, ChatGPT, or any MCP-compatible client. Every proof point in this document was run live against the […]


