# Memory-Centric Continual Learning (MCCL): Memory-Driven Continual Learning for AI Agents

- Source: HuggingFace Daily Papers
- Published: 2026-10-21T00:00:00.000Z
- RoboHot: https://robohot.news/en/items/vkcumvzqwt2bk07gt46yfnq93
- Original: https://huggingface.co/papers/2610.29357

## Summary

The paper proposes Memory-Centric Continual Learning (MCCL), arguing that memory should be judged by whether it improves an agent's subsequent actions rather than by fact retrieval. It includes a three-axis taxonomy (organizing memory by storage location, form, and management approach), a two-loop lifecycle, an evaluation protocol, and a memory scaling framework.