Better Harness turns project and session evidence into loop-level insights, prioritized improvements, and verifiable next steps—inside the coding agent you already use.

ChatGPT Plus/Team/Pro 订阅协议端到端重放工具集 · hCaptcha 视觉求解器 · 反欺诈机制实证研究 / End-to-end protocol replay toolkit for ChatGPT Plus/Team/Pro subscription with from-scratch hCaptcha solver and empirical anti-frau…

omg.dev — run AI coding agents on your own machine (formerly BennyKok/lfg)

A self hosted virtual browser that runs in docker and uses WebRTC.

Local-first cross-platform desktop workspace for Claude Code / agents: multi-agent, Git worktrees, code diffs, skill marketplace, multi-model, Computer Use, task-aware desktop pets, with WeChat, Fe…

📻Terminal/ssh/sftp/ftp/telnet/serialport/RDP/VNC/Spice client(Linux, Mac, Windows, Android, HarmonyOS)

微舆：人人可用的多Agent舆情分析助手，打破信息茧房，还原舆情原貌，预测未来走向，辅助决策！从0实现，不依赖任何框架。

🔬 Harness Vibe Research with Self-evolving AI Scientists

🧠 Cortex - Universal AI Agent Memory Service

Approaching (Almost) Any Machine Learning Problem中译版，在线文档地址：https://ytzfhqs.github.io/AAAMLP-CN/

The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.

Elevate your AI research writing, no more tedious polishing ✨

[NeurIPS 24] Incremental Learning of Retrievable Skills For Efficient Continual Task Adaptation

Code and data for "OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models"

Open-source Windows and Office activator featuring HWID, Ohook, TSforge, and Online KMS activation methods, along with advanced troubleshooting.

Towards a Unified View of Large Language Model Post-Training

Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs (ICLR 2025)

[ICLR 2025] "Rethinking LLM Unlearning Objectives: A Gradient Perspective and Go Beyond"

Bash is all you need - A nano claude code–like 「agent harness」, built from 0 to 1

Implementing DeepSeek R1's GRPO algorithm from scratch

[NeurIPS D&B '25] The one-stop repository for LLM unlearning

Existing Literature about Machine Unlearning

[ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models

Official PyTorch Implementation for Continual Learning and Private Unlearning