AI agent systems skill for Claude Code — ReAct, Plan-and-Execute, reflection loops, Tree of Thoughts, LATS, MCP integration, LangChain/LangGraph/CrewAI/AutoGen/Claude Agent SDK, multi-agent orchestration, evaluation. By TheGEOLab.net
An autonomous AI research assistant built from scratch using the ReAct (Reasoning + Acting) paradigm. Features a cost-aware multi-LLM routing engine (Gemini 3.1 Flash Lite + Groq LLaMA 3.3 70B) grounded with real-time web execution via the Tavily Search API. Generates downloadable markdown analysis reports and reasoning traces.
A ReAct-pattern tool-using agent built from scratch in Python — reasons step by step, routes questions to a calculator or knowledge-base search tool, and cites its sources.
Helping you get started with implementing Agentic AI workflows.
An intelligent AI Research Agent using ReAct reasoning to perform web searches, execute calculations, and generate automated markdown reports via Groq Cloud (Qwen-32B).
A comprehensive multi-agent AI system built with LangGraph and Google Gemini. Features specialized agents (Coder, Enhancer, Researcher, Validator), RAG implementation, ReAct pattern, and supervisor orchestration. Includes data analysis, document drafting, and conversational agents with quality validation.
Autonomous multimodal AI agent for Linux. Features a dynamic visual grid overlay for high-precision GUI automation using Llama 3 Vision, Groq, and Python.
No-framework support ticket agent — a reference build following a seven-step build order
零框架从零构建生产级 AI Agent — 四周手写 ReAct / MCP / LangGraph / AutoGen / Multi-Agent 协作
A guarded NL-to-SQL reasoning agent that learns schema and domain context, then answers analytical questions using iterative, evidence-backed SQL.
AI-powered article generator for Dev.to and Medium
Deep dive into enterprise-grade AI Agents & Advanced RAG. Implementing MCP architecture, hierarchical indexing, query transformation, ReAct loops from scratch, and multi-agent state management.
LangGraph agent that answers questions about sales data by calling analysis tools. Runs as a single ReAct agent or as a supervisor with two specialist agents. Tested with CI/CD.
DeepSearch (AI Research Agent)
AgentRunner — AI agent execution service built on the ReAct (Reasoning + Acting) pattern: reasons, decides and calls tools (Python, LangChain, Ollama)
🤖 Intelligent, secure, and multilingual chatbot backend for Lorenzo Maiuri's website. Built with FastAPI, Gemini LLM, LlamaIndex, and MongoDB. Features session memory, tool-calling, and robust security
Production ReAct (Reasoning + Acting) agent framework with 20+ built-in tools — calculator, web search, code executor, file manager, API caller and database query
A scrollytelling visual guide to AI agents and orchestration — 10 patterns, 19 concepts, animated D3.js diagrams. No framework, no build step, single HTML file.
AI research agent using ReAct pattern (Reason + Act). Built with Next.js + z-ai-web-dev-sdk. Free tools: DuckDuckGo search, r.jina.ai URL reader, Wikipedia API.
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