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Documents and analyzes LLM safety challenges within the Grey Swan Arena competitions.
Provides secure, relative filesystem access for AI agents.
Manages TODO items with status tracking via a simple REST API.
Captures and analyzes HTTP(S) and WebSocket network traffic, providing AI agents with insights and natural language query capabilities.
Enables trustless time-delayed communications through timelock encryption using the Shutter Network.
Provides AI coding agents with a secure, flexible, and extensible environment for executing coding tasks.
Manages user identities and context for the VibeDoge exchange demo, integrating an interactive Vibe Coding lottery system.
Provides sandboxed FFmpeg functionality through a RESTful API, enabling secure video and audio processing for AI assistants and other clients.
Provides secure, read-only access to MySQL databases for AI assistants via the Model Context Protocol.
Perform professional-grade website audits by integrating multiple industry-standard tools into a unified interface for AI agents.
Automates multi-layered security analysis of codebases using AI-driven insights and static analysis rules.
Provides a secure Model Context Protocol server for executing read-only MySQL queries.
Provides a hardened Docker Compose reference guide with best practices, security defaults, recipes, and troubleshooting for homelab and self-hosted setups.
Facilitates interactive Windows debugging by wrapping CDB and KD behind the Model Context Protocol.
Exposes Kiwi TCMS as a set of AI-callable tools, enabling artificial intelligence assistants to create and manage test plans, test cases, and test runs directly from conversations.
Integrates Android Debug Bridge with Claude, enabling AI agents to directly interact with and control connected Android devices from UI to baseband.
Secures AI exploration of GitHub repositories by redacting sensitive information before it reaches AI models.
Catalogs repositories with structured metadata, audit evidence, and inter-repo relationships, exposing this knowledge via CLI and an MCP server for AI-integrated workflows.
Establishes a secure Model Context Protocol (MCP) server for robust interaction with OpenEMR APIs, enabling AI/LLM-driven healthcare workflows.
Enables AI systems to comply with the EU AI Act through risk classification, conformity checklists, audit records, and decision explainability.
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