Project information incomplete; verified data preserved for future supplementation. GitHub repository at https://github.com/provos/ironcurtain is temporarily inaccessible due to technical limitations (browser context unavailable).
An official Okta-maintained Model Context Protocol (MCP) server that securely integrates LLM agents with Okta Admin Management APIs for natural-language-driven automation of users, groups, applications, and policies management.
An MCP Server for the Midnight blockchain ecosystem that provides AI assistants with Compact contract semantic search, static analysis, real-time compilation with ZK circuit generation, and version migration capabilities.
Open-source, local-first macOS menu bar app that automatically captures screen context (screenshot OCR, clipboard mirroring) to keep AI tools continuously informed about your work environment.
A secure and fast container runtime for AI coding tools on Linux and macOS, built on Incus system containers with session persistence, workspace isolation, real-time threat detection, and multi-slot parallel support.
Open-source, secure, and elastic infrastructure for running AI-generated code, offering sub-90ms sandbox provisioning, LSP support, and persistent environments.
A lightweight self-hosted MCP server connecting LLM-based AI agents to Red Hat Lightspeed enterprise services, supporting 9 toolsets including Image Builder, Vulnerability, Advisor, and Inventory.
An enterprise-oriented benchmark suite for evaluating web agent safety and trustworthiness, featuring 375 tasks across GitLab, SuiteCRM, and ShoppingAdmin with six policy dimensions to measure task completion under compliance constraints. Accepted by ICLR 2025.
A lightweight AI Agent Skills secure engine built in Rust, featuring a built-in native system-level sandbox, zero dependencies, and fully local execution. Provides three-layer security defense (install-time scan, pre-execution authorization, runtime sandbox) with 100% security test score, 40ms hot start, and ~10MB memory footprint.
An open-source framework for large language model evaluations from the UK AI Safety Institute, featuring a modular Datasets/Solvers/Scorers architecture, multi-model/tool support, sandboxed execution, and 100+ pre-built benchmarks.
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