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YSAI Nexus

Built at Meta Global AI Developer Hackathon · Oct 26, 2026 · Remote

YSAI Nexus — Demo video

YSAI APEX (Adaptive Problem-solving and EXecution) is an experimental Agentic AI platform designed to transform complex objectives into structured, coordinated, and verifiable workflows. Unlike traditional AI assistants that primarily respond to individual prompts, YSAI APEX explores a multi-agent architecture consisting of five specialized agents: Planner, Researcher, Builder, Verifier, and Recovery. These agents collaborate to understand objectives, decompose tasks, research requirements, generate implementation blueprints, evaluate outputs, and coordinate corrective iterations when necessary. The platform features a mission execution dashboard, interactive workflow graph, mission history, retrieval-based adaptive experience memory, human-in-the-loop approval gates, performance benchmarks, and configurable Meta AI model integration. Our goal is to explore more reliable, transparent, and adaptable AI systems capable of handling complex, multi-step problem-solving tasks. YSAI APEX represents a step towards the vision of YSAI: a collaborative Agentic AI Ecosystem that moves beyond simple conversations towards intelligent task coordination and execution.

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