Organization-as-Code for autonomous AI agents. Brain-inspired memory that grows, consolidates, and forgets. Multi-model (Claude/Codex/Gemini/Cursor/Ollama).

[ICLR24 (Spotlight)] "SalUn: Empowering Machine Unlearning via Gradient-based Weight Saliency in Both Image Classification and Generation" by Chongyu Fan*, Jiancheng Liu*, Yihua Zhang, Eric Wong, Dennis Wei, Sijia Liu

[ACL 2025] The code repository for "Mitigating Visual Forgetting via Take-along Visual Conditioning for Multi-modal Long CoT Reasoning" in PyTorch.

RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models. NeurIPS 2024

[NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gaowen Liu, Yang Liu, Pranay Sharma, Sijia Liu

Practical Continual Forgetting for Pre-trained Vision Models (CVPR 2024; T-PAMI 2026)

An implementation of Transformer with Expire-Span, a circuit for learning which memories to retain

[ECCV24] "Challenging Forgets: Unveiling the Worst-Case Forget Sets in Machine Unlearning" by Chongyu Fan*, Jiancheng Liu*, Alfred Hero, Sijia Liu

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

[ICML 2023] "Unleashing Mask: Explore the Intrinsic Out-of-Distribution Detection Capability"

This is repository contains code for experiment to evaluate catastrophic forgetting in neural networks.

Six Ways to Forget: Biologically-grounded forgetting mechanisms for LLM agent memory systems. 18 experiments, 4 falsified hypotheses, STDP ablation (Cohen's d = 3.163).

Time series forecasting and classification using shared linear backbone with task-specific heads and forgetting mechanisms

Memory that forgets, like humans do. A production-grade memory system for AI agents with intelligent forgetting.

This project was created for FPTU Students whose wifi's connection are disabled before exam, list of wifi connection will be saved for after exam connection.

An attempt to make a model forget what it has learnt

Biologically-inspired Dual-Q reinforcement learning with asymmetric memory decay. MSc AI dissertation, University of Sussex 2025. Forgetting rewards faster than punishments improves adaptation in dynamic environments.

Python3 based script that reminds you of a particular time on a particular day.