Welcome to A-Evo Lab, a research initiative dedicated to the frontier of Self-Evolving Agents and Continual Learning. Led by Henry Lu, we aim to bridge the gap between static LLM capabilities and autonomous, adaptive intelligence.
We believe the next leap in AI won't just come from larger pre-training, but from the ability of agents to evolve through interaction, feedback, and self-correction.
- A-EVOLVE Visualizer: A real-time dashboard for tracking agentic evolution traces and error analysis. [ Live Demo ]
- A-EVOLVE Framework: Our core engine for agentic self-improvement in production environments.
- [2026.01] Our position paper for Agentic Evolution: [https://arxiv.org/abs/2602.00359].