This article introduces CyberStrikeAI, an AI-native security testing platform built in Go that integrates 100+ tools and uses ReAct single-agent loops and CloudWeGo Eino multi-agent orchestration to automate the full penetration testing lifecycle from reconnaissance to post-exploitation.
This article details CyberStrikeAI, an AI-native security testing platform built in Go that integrates over 100 tools and uses ReAct single-agent and CloudWeGo Eino multi-agent orchestration via MCP protocol to automate the full penetration testing lifecycle from reconnaissance to post-exploitation.
WeKnora is an MIT-licensed enterprise knowledge management framework from Tencent's WeChat team that goes beyond traditional RAG by integrating hybrid retrieval, ReAct agents with skill sandboxes, automatic Wiki generation from raw documents, knowledge graphs, and multi-channel distribution including WeChat ecosystem integration.
The article details how an LLM‑driven Troubleshooter system automates data collection, root‑cause analysis, and recommendation generation for alerts, slashing median investigation time from about 20 minutes to 4.4 minutes across 11 services and over ten alert types, and presents architecture, tool design, observability, a real‑world case, performance metrics, and future roadmap.
This tutorial shows how to install LangGraph and MCP Server, define math and weather tool nodes, connect them via a MultiServerMCPClient, and build a ReAct agent that demonstrates tool‑calling workflows, including handling missing functions and HTTP‑based services.
DeepSeek‑R1 excels at deep reasoning but lacks native structured output; this guide explains why structured output matters, outlines common API‑level techniques, and provides three practical solutions—using an auxiliary model with a LangChain chain, a LangGraph workflow, and a ReAct agent—complete with code snippets and JSON‑mode tips.
