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

Memory library for building stateful agents

collection of diffusion model papers categorized by their subareas

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

FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai

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.

PyCIL: A Python Toolbox for Class-Incremental Learning

(CVPR 2021 Oral) Open World Object Detection

Let Skills Evolve Collectively with Agentic Evolver

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

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。

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

Continual Learning papers list, curated by ContinualAI

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

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

Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.

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

Evaluate three types of task shifting with popular continual learning algorithms.