Thread

Thread is an ambient memory layer for real-world relationships. It listens to your conversations, distills them into selective structured memories (what people work on, what they need, what they can offer, what you promised them), and connects information across people. When someone reappears, Thread briefs you on who they are, what you owe them, and what's changed since you last spoke. Why it's useful: You meet dozens of people at events and almost everything evaporates — especially the invisible connections between people, since no one holds both conversations in memory. Thread turns every conversation into persistent context that changes what happens next: promises resurface, needs find offers automatically, and returning people get smarter follow-ups. Tech stack:     •    Next.js 16 (App Router, TypeScript, React) · Tailwind CSS · Framer Motion     •    MongoDB Atlas — the persistent social world model (people, memories, open loops, connections), with Atlas Vector Search for semantic need↔offer matching     •    ElevenLabs — speech-to-text for live conversations, TTS for whispered briefings and spoken memory Q&A     •    OpenRouter — LLM memory extraction (Zod-validated structured output) and connection reasoning Future Plans: We aim to integrate this into smart glasses so that it can update the profiles of people you meet in real time.