continual-learning

Memory library for building stateful agents

🦞 Just talk to your agent — it learns and EVOLVES 🧬.

Stateful agents that are like people, with memory, identity, and the ability to learn and adapt

Let Skills Evolve Collectively with Agentic Evolver

collection of diffusion model papers categorized by their subareas

Avalanche: an End-to-End Library for Continual Learning based on PyTorch.

PyTorch implementation of various methods for continual learning (XdG, EWC, SI, LwF, FROMP, DGR, BI-R, ER, A-GEM, iCaRL, Generative Classifier) in three different scenarios.

Awesome AI Memory | LLM Memory | A curated knowledge base on AI memory for LLMs and agents, covering long-term memory, reasoning, retrieval, and memory-native system design. Awesome-AI-Memory 是一个 集中式、持续更新的 AI 记忆知识库，系统性整理了与 大模型记忆（LLM Memory）与智能体记忆（Agent Memory） 相关的前沿研究、工程框架、系统设计、评测基准与真实应用实践。

PyCIL: A Python Toolbox for Class-Incremental Learning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

NMA deep learning course

Model Merging in LLMs, MLLMs, and Beyond: Methods, Theories, Applications and Opportunities. ACM Computing Surveys, 2026.

The official repository of "Position: Agentic Evolution is the Path to Evolving LLMs".

Continual Learning papers list, curated by ContinualAI

Curated systems, benchmarks, and papers etc. on memory for LLMs/MLLMs --- long-term context, retrieval, and reasoning.

An Incremental Learning, Continual Learning, and Life-Long Learning Repository

🎉 PILOT: A Pre-trained Model-Based Continual Learning Toolbox

AutoSkill: Experience-Driven Lifelong Learning via Skill Self-Evolution

Continual learning infra for self-improving agents

[CSUR 2025] Continual Learning of Large Language Models: A Comprehensive Survey