wuyoscar/AISafetyHot-Hub

Safety News & Research Monitor. https://aisafetyhot.com

What it solves

It solves the difficulty of tracking the rapidly evolving landscape of AI safety by providing a centralized hub for news, research papers, and security incidents. It eliminates the need to manually search multiple sources for updates on AI attacks, defenses, alignment, and governance.

How it works

The project operates as a content aggregator and an MCP (Model Context Protocol) server. It monitors AI safety events and papers, organizing them into daily, weekly, and monthly reports. Users can access this data through a website, RSS feeds, or by connecting an AI agent (like Claude Code or Codex) to its MCP server to query specific topics, search for papers, or generate safety briefings using natural language.

Who it’s for

It is designed for AI safety researchers, security professionals, and developers who need to stay current on AI vulnerabilities, jailbreaks, and alignment research without spending hours on manual curation.

Highlights

  • Agent Integration: Provides a public MCP server allowing AI agents to search news, read papers, and track events directly.
  • Structured Data: Offers paper lists in Markdown, BibTeX, and JSON formats for easy import into reference managers like Zotero.
  • Comprehensive Coverage: Tracks multiple domains including prompt injection, model alignment, AI governance, and multi-agent insecurity.
  • Automated Summaries: Includes model-generated guides and "fast-reads" that summarize the problem, method, experiments, and limitations of research papers.

Related

  • Project
    dbos-inc/dbos-transact-ts

    A lightweight TypeScript library that provides durable workflows and queues backed by Postgres, ensuring applications can automatically recover from failures without external orchestrators.

  • Project
    justrach/codedb

    A high-performance context engine built in Zig that provides AI coding agents with a structural map of a codebase via MCP to improve navigation and retrieval.

  • Project
    designcomputer/mysql_mcp_server

    A Model Context Protocol (MCP) server that enables AI applications to securely explore and query MySQL databases through a structured interface.

  • Project
    PentesterFlow/agent

    PentesterFlow is an open‑source terminal assistant that lets a human analyst guide an LLM‑driven agent through penetration‑testing tasks. It integrates real security tools (curl, shell, Burp, file utilities), supports many LLM backends, stores evidence and findings as markdown, and retains project‑level memory across sessions while requiring explicit approval for risky actions.