Build Your Multi-Agent System: Local Docker to Production with AgentOS
1 months ago 高效码农✅ Build Your Own Multi-Agent System: Local Docker Setup to Production Deployment with AgentOS Abstract This guide shows you exactly how to build a production-ready multi-agent system using AgentOS. The system includes learning agents that remember interactions and improve over time, PostgreSQL-backed persistence for state, sessions, and memory, Agentic RAG for intelligent knowledge retrieval, MCP Tools for connecting external services, and full visibility through the AgentOS control plane. You’ll run the complete system locally with Docker in 5 minutes and deploy it to production on Railway in under 20 minutes. The system features three ready-to-use agents—Pal (personal second brain), Knowledge …
Build Low-Latency Voice Assistants: Complete Guide to AgentOS 2 Live with OpenAI Realtime API
1 months ago 高效码农AgentOS 2 Live: A Hands-On Guide to Building Low-Latency Voice Assistants with OpenAI Realtime API Quick Summary AgentOS 2 Live is an open-source, full-stack platform for creating real-time voice assistants using OpenAI’s Realtime API (powered by GPT-4o realtime). It delivers end-to-end voice-to-voice conversations with very low latency, built-in voice activity detection (VAD), animated robot face visualization, modular tool calling, and even hardware control integration for OrionStar robots. The project uses a clean monorepo structure (npm workspaces) with React + TypeScript on the front end, Node.js + Express + WebSocket on the back end, and a dedicated Android WebView bridge for …