Stars
Benchmarking LLM agents on Cyber Threat Investigation.
[Up-to-date] Large Language Model Agent: A Survey on Methodology, Applications and Challenges
🧩 MCP Gateway - A lightweight gateway service that instantly transforms existing MCP Servers and APIs into MCP servers with zero code changes. Features Docker deployment and management UI, requirin…
A.I.G (AI-Infra-Guard) is a comprehensive, intelligent, and easy-to-use AI Red Teaming platform developed by Tencent Zhuque Lab.
A scalable, end-to-end training pipeline for general-purpose agents
We present MAPTA, a multi-agent system for autonomous web application security assessment that combines large language model orchestration with tool-grounded execution and end-to-end exploit valida…
Community curated list of templates for the nuclei engine to find security vulnerabilities.
『ゼロから作る Deep Learning ❹』(O'Reilly Japan, 2022)
Official Code of Memento: Fine-tuning LLM Agents without Fine-tuning LLMs
✨ Fully autonomous AI Agents system capable of performing complex penetration testing tasks
HexStrike AI MCP Agents is an advanced MCP server that lets AI agents (Claude, GPT, Copilot, etc.) autonomously run 150+ cybersecurity tools for automated pentesting, vulnerability discovery, bug b…
A Model Context Protocol server for IDA
gpt-oss-120b and gpt-oss-20b are two open-weight language models by OpenAI
最新Claude Pro订阅教程:如何注册Claude账号?如何订阅Claude Pro会员?如何购买Claude Pro原生独立账号?如何为你现有的Claude充值?(含国内使用Claude Code教程)
《Build a Large Language Model (From Scratch)》是一本深入探讨大语言模型原理与实现的电子书,适合希望深入了解 GPT 等大模型架构、训练过程及应用开发的学习者。为了让更多中文读者能够接触到这本极具价值的教材,我决定将其翻译成中文,并通过 GitHub 进行开源共享。
MLX-VLM is a package for inference and fine-tuning of Vision Language Models (VLMs) on your Mac using MLX.
All-in-one offensive security toolbox with AI agent and MCP architecture. Integrates tools like Nmap, Metasploit, FFUF, SQLMap. Enables pentesting, bug bounty hunting, threat hunting, and reporting…
Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.
A high-throughput and memory-efficient inference and serving engine for LLMs
Get started with building Fullstack Agents using Gemini 2.5 and LangGraph
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Letta is the platform for building stateful agents: open AI with advanced memory that can learn and self-improve over time.