Memory library for building stateful agents

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

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

Let Skills Evolve Collectively with Agentic Evolver

PyCIL: A Python Toolbox for Class-Incremental Learning

(CVPR 2021 Oral) Open World Object Detection

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。

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

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

🎉 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.

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

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

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

A clean and simple data loading library for Continual Learning

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).

A collection of incremental learning paper implementations including PODNet (ECCV20) and Ghost (CVPR-W21).

Finetune any multiagent system on any task w/ MAPPA

Continual learning baselines and strategies from popular papers, using Avalanche. We include EWC, SI, GEM, AGEM, LwF, iCarl, GDumb, and other strategies.