125 boosters for "lm" — AI-graded, open source, ready to install
A multi-agent red-teaming framework that orchestrates coordinated AI security testing with an arbiter to consolidate findings and maintain an immutable audit trail. Security engineers and AI developers use it to systematically test LLM vulnerabilities with repeatable, deterministic results.
An expert prompt engineering agent that optimizes prompts for LLMs and AI systems, helping developers build better AI features and improve agent performance through proven prompt patterns and techniques.
This MCP server integrates with Civic Plus See Click Fix, enabling users to access and interact with civic data through an LLM interface. It's useful for municipal staff, developers, and citizens working with See Click Fix complaint and issue tracking systems.
A hierarchical taxonomy (L0-L5) for classifying data agents by autonomy level, helping teams clarify capabilities, set expectations, and allocate responsibility in LLM-powered data systems. Useful for architects, product managers, and developers building or evaluating data agents.
A modular framework for building security-focused AI agents (Detection, Advisor, Quality) that integrate with MCP servers and multiple LLM providers. Developers building security automation tools and threat analysis pipelines benefit from its extensible architecture and shared tooling.
