How to Develop Full Production Grade Multi Agent Systems
Multi Agent Architecture Example - generated by ChatGPT 𝗬𝗲𝘀, you can build fully production-grade multi-agent systems using only open-source stacks (LangChain, LangGraph, and open-source LLMs). Here is the real-world proven stack 👇 ━━━━━━━━━━━━━━━━ 𝗖𝗢𝗥𝗘 𝗦𝗧𝗔𝗖𝗞 ━━━━━━━━━━━━━━━━ LangGraph – agent orchestration, state machine, workflows LangChain – tool calling, memory, RAG, connectors Open-source LLMs – Llama 3, Qwen 2.5, Mistral, DeepSeek vLLM / TGI – high-performance inference Postgres + pgvector – memory + long-term knowledge Redis – agent state & queues FastAPI – API gateway Celery / Kafka – distributed tasking Docker + K8s – scaling & HA ━━━━━━━━━━━━━━━━ 𝗪𝗛𝗔𝗧 𝗬𝗢𝗨 𝗖𝗔𝗡 𝗕𝗨𝗜𝗟𝗗 ━━━━━━━━━━━━━━━━ Autonomous research agents Self-planning workflow agents Multi-tool reasoning systems RAG + tool-using enterp...