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769–792 of 5,591 · Most stars

A Go implementation of the Model Context Protocol (MCP), enabling seamless integration between LLM applications and external data sources and tools.

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

immudb - immutable database based on zero trust, SQL/Key-Value/Document model, tamperproof, data change history

reNgine is an automated reconnaissance framework for web applications with a focus on highly configurable streamlined recon process via Engines, recon data correlation and organization, continuous monitoring, backed by a database, and simple yet intuitive User Interface. reNgine makes it easy for penetration testers to gather reconnaissance with minimal configuration and with the help of reNgine's correlation, it just makes recon effortless.