Pioneering Safe, Adaptive AGI Research
Your window into next‑generation intelligence that learns on the fly—and does so responsibly.

At Mango Pomelo Labs, we explore the frontiers of fluid, context‑aware intelligence. We benchmark adaptability, develop self‑evolving agents, and architect guard‑rails to ensure advanced AI systems remain reliable, interpretable, and aligned with human values.

We believe the path to AGI isn’t just about scale—it’s about flexibility and trustworthiness. Our work spans dynamic benchmark design, test‑time adaptation methods, and meta‑learning loops that let models reshape themselves safely in new environments. By open‑sourcing our findings and collaborating with the broader AGI community, we aim to accelerate breakthroughs while embedding robustness and transparency at every step.

1. Adaptive Benchmarks
   Holistic test suites that stress‑test an AI’s ability to pivot under domain shifts.

2. Safe Meta‑Learning
   Layer‑wise token gating and self‑audit mechanisms to keep emergent behaviors in check.

3. Open Collaboration
   Community‑driven datasets, challenge tracks, and reproducible pipelines.