Personal AI Infrastructure for upgrading humans.

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

List of AI-powered code editor and IDE's sorted by minimal price

Public Source code Release of Theori's AIxCC AFC Submission

Golang malware development library

Use Claude Code as the foundation for coding infrastructure, allowing you to decide how to interact with the model while enjoying updates from Anthropic.

Spoon is a metaprogramming library to analyze and transform Java source code. 🥄 is made with ❤️, 🍻 and ✨. It parses source files to build a well-designed AST with powerful analysis and transformati…

A curated list of fellowships for graduate students in Computer Science and related fields.

A framework for evaluating AI audit agents using recent real-world data

This repo contains the codes of the penetration test benchmark for Generative Agents presented in the paper "AutoPenBench: Benchmarking Generative Agents for Penetration Testing". It contains also …

Data-driven exploit generation for Ethereum smart contracts using LLMs and Foundry

Fully open reproduction of DeepSeek-R1

Active Directory certificate abuse.

Nuclei is a fast, customizable vulnerability scanner powered by the global security community and built on a simple YAML-based DSL, enabling collaboration to tackle trending vulnerabilities on the …

Lightweight LLM Interaction Framework

Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust.

CPMMX: Automatic Attack Synthesis for Constant Product Market Makers

Rich is a Python library for rich text and beautiful formatting in the terminal.

🤗 smolagents: a barebones library for agents that think in code.

[NeurIPS 2023 D&B] Code repository for InterCode benchmark https://arxiv.org/abs/2306.14898

To learn common smart contract vulnerabilities using Foundry!

DSPy: The framework for programming—not prompting—language models

Cybersecurity AI (CAI), the framework for AI Security

Official Repo for ICML 2024 paper "Executable Code Actions Elicit Better LLM Agents" by Xingyao Wang, Yangyi Chen, Lifan Yuan, Yizhe Zhang, Yunzhu Li, Hao Peng, Heng Ji.

Code for the paper "Coding Agents with Multimodal Browsing are Generalist Problem Solvers"

🙌 OpenHands: Code Less, Make More

Build production-ready AI agents in both Python and Typescript.

The fastest way to build robust AI agents