PlotTwist is a persistent-context matchmaking agent for conferences. Existing networking tools do SIMILARITY matching - they introduce you to people like you. PlotTwist does COMPLEMENTARY matching: it pairs your needs with someone else's offers, ideally reciprocally (you need X, they offer X; they need Y, you offer Y). The core insight is that what you need changes. You walk in thinking "I need enterprise sales help," meet someone, and realize "my real blocker is SOC 2." PlotTwist treats that evolution as the product: every meeting produces a learning written to MongoDB, which re-prioritizes your needs and re-embeds your profile — so the same person gets a different next recommendation. The model doesn't get smarter; its persistent context does. You speak for 10 seconds (ElevenLabs Scribe transcribes). Fireworks extracts your needs/offers/goals and embeds them into MongoDB Atlas. Your current top need is run through Atlas Vector Search to retrieve candidates, and OpenRouter (GPT-4o, with a Fireworks fallback) reasons over them to pick the best reciprocal match, which ElevenLabs announces by name. The whole loop is a LangGraph state machine with human-in-the-loop gating, checkpointed to MongoDB so each attendee's thread persists across sessions. A live force-directed graph shows every introduction the agent has created in the room.
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