Recall — A Voice-First Personal Memory Agent

Recall is a voice-first personal memory agent designed to capture, organize, and retrieve knowledge from everyday conversations in real time. Built using Next.js 15, AssemblyAI Realtime Speech-to-Text WebSocket API, and Google Gemini LLMs, Recall acts as an intelligent second brain that actively listens to spoken audio, streams live transcripts, and automatically extracts structured facts, commitments, decisions, and named entities. Unlike traditional note-taking applications, Recall preserves explicit confidence states (CONFIRMED, LIKELY, UNCERTAIN) and dynamic temporal relationships. When new or updated information is discussed, Recall automatically reconciles updates and contradictions through relational linkage without destroying historical context, allowing users to explore an evolving timeline of knowledge over time. Equipped with a hybrid retrieval system and grounded conversational QA engine, Recall allows users to query their memories in natural language. It generates accurate, zero-hallucination answers backed by clickable source metadata and deep transcript line inspectors. Featuring a sleek, animated user interface, an interactive visual memory explorer filtered by people or projects, and a zero-dependency demo mode, Recall transforms spontaneous spoken dialog into an organized, persistent personal knowledge network.