仓库/Skill 库

基于真实场景基准测试的、面向 AI 编程 Agent 的 #1 持久化记忆方案#1 Persistent memory for AI coding agents based on real-world benchmarks

AssetOpsBench - Industry 4.0：面向工业4.0资产运维的领域AI Agent构建、编排与评估统一基准与框架，包含460+场景、5类专业Agent（IoT、FMSR、TSFM、工单等），以及基于MCP的多Agent编排蓝图（MetaAgent、AgentHive）AssetOpsBench - Industry 4.0: A unified benchmark and framework for building, orchestrating, and evaluating domain-specific AI agents for Industry 4.0 asset operations and maintenance, with 460+ scenarios, 5 specialist agents (IoT, FMSR, TSFM, Work Order,...), and multi-agent orchestration blueprints (MetaAgent, AgentHive) over MCP.

ADR 通过可观测性、安全基准测试与威胁检测，为企业级 AI Agent 提供安全保障。已部署于 Uber。ADR secures enterprise AI agents through observability, security benchmarking, and threat detection. Deployed at Uber.

面向 coding agent 的开源机器人仿真器：HTTP/JSON + MCP 控制、Newton 物理、wgpu 渲染、ROS 2，以及可复现的 benchmark。Open-source robotics simulator for coding agents: HTTP/JSON + MCP control, Newton physics, wgpu rendering, ROS 2, and reproducible benchmarks.

查找你的 AI coding Agent 泄露到磁盘的敏感信息。免费、MIT 许可、零依赖、零网络调用。在我们公开发布的基准测试中击败 TruffleHog 和 GitGuardian 的引擎。Find secrets your AI coding agent leaked to disk. Free, MIT, zero deps, zero network calls. Beat TruffleHog and GitGuardian's engine on our own published benchmark.