May 10
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🚀 Welcome to the future of AI Agent Orchestration! In this video, I demonstrate AgentOrch, a powerful local-first platform designed to build, manage, and execute complex multi-agent workflows. Using LangGraph for stateful orchestration and Groq (Llama 3.1) for lightning-fast inference, this platform bridges the gap between simple chat and autonomous production-grade AI systems. Key Features Shown: ✅ Visual Workflow Builder: Drag-and-drop agents and condition nodes using React Flow. ✅ Multi-Agent Coordination: See how a Triage Agent intelligently routes tasks to specialized Research Agents. ✅ Real-Time Observability: WebSocket-powered live logs showing agent thoughts and tool executions. ✅ Cross-Channel Integration: Trigger complex workflows directly from Telegram. ✅ Robust Tooling: Integrated Web Search, Weather, Calculator, and custom HTTP request tools. Tech Stack: Backend: Python (FastAPI, LangGraph, SQLAlchemy) Frontend: Next.js (TypeScript, Tailwind CSS, React Flow) LLM Engine: Groq Cloud API Database: SQLite (local-first) / PostgreSQL (production) #AI #LLM #LangChain #LangGraph #Groq #Python #FullStack #AIAgents #Automation