Stars
A Datacenter Scale Distributed Inference Serving Framework
Offline optimization of your disaggregated Dynamo graph
The simplest way to serve AI/ML models in production
aider is AI pair programming in your terminal
A powerful AI coding agent. Built for the terminal.
an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM
Lightweight coding agent that runs in your terminal
Zero shot vulnerability discovery using LLMs
🚀 PR-Agent: An AI-Powered 🤖 Tool for Automated Pull Request Analysis, Feedback, Suggestions and More! 💻🔍
RESTler is the first stateful REST API fuzzing tool for automatically testing cloud services through their REST APIs and finding security and reliability bugs in these services.
An extremely fast Python type checker and language server, written in Rust.
Build autonomous, resilient and observable AI agents with built-in workflow orchestration, security, statefulness and telemetry.
A fun POC that is built to understand AI security agents.
This is a repository of vendor-agnostic workflows provided for those interested in deploying Security Orchestration, Automation, and Response capabilities within their organizations.
VoiceGPT is a voice assistant that leverages the powerful ChatGPT chatbot to answer your questions.
A simple Python based implementation of a Raspberry Pi based, OpenAI ChatGPT enabled voice assistant
Outil de sécurité des architectures kubernetes avancées
🧊 The next generation Package Manager for Kubernetes 📦 Featuring a GUI and a CLI. Glasskube packages are dependency aware, GitOps ready and can get automatic updates via a central public package re…
A natural language interface for computers
Automatic Generation of Visualizations and Infographics using Large Language Models
Notion-style WYSIWYG editor with AI-powered autocompletion.
Dockerized Setup for the MinHash-based Code Recognition & Investigation Toolkit (MCRIT)
The MinHash-based Code Relationship & Investigation Toolkit (MCRIT) is a framework created to simplify the application of the MinHash algorithm in the context of code similarity.