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                                           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...

You can build a simple 2‑wheel Arduino robot car with a motor driver and basic sensors in a few clear stages: gather parts, assemble chassis, wire electronics, upload code, and test. ​ 1. Decide car type First choose what you want the car to do, as this affects sensors and code. ​ Common beginner options: ​ Bluetooth control from phone – needs HC‑05 module . ​ Obstacle avoiding – needs ultrasonic sensor ( HC‑SR04 ) + small servo (optional for scanning). ​ Line follower – needs 2–5 IR line sensors pointing to the floor. ​ Below steps assume a basic 2WD obstacle‑avoiding car (easiest to generalize). ​ 2. Collect hardware Typical low‑cost parts for a 2WD Arduino car: ​ Controller : Arduino Uno (or compatible). Motor driver : L298N module or L293D motor driver shield . ​ Chassis kit : 2 geared DC motors with brackets, 2 wheels, acrylic/metal base, 1 caster wheel . ​ Power : 4x AA battery holder (6 V) or 2S Li‑ion/LiPo (7.4 V) for motors. ​ Optionally separate 9 V / USB for Arduino, or ...