From Prompt to Production: Building Autonomous AI Agents in Node.js
summary
Builds a Node.js agent stack that uses GPT-style LLMs (demo uses GPT‑4 mini) wrapped with langchain/langgraph to implement a four‑node graph (user input → web search → summarize → response), with tools for internet search and a working demo that returns correct summaries. Shows how short‑term state lives in process while long‑term memory uses a Chroma vector DB for embeddings. One‑process demo works; scale comes from offloading reasoning to worker consumers via RabbitMQ/Kafka with retries and partitioning for recovery.
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chapters (12)
- 0:00AI agents in Node.js
- 2:23From chatbots to AI agents
- 3:47Core components
- 7:20LLM and prompts
- 8:24External data access
- 10:17Memory systems
- 15:48Single-process agent
- 18:47Agent workflow demo
- 20:11Agent loop recap
- 20:37Scaling agents
- 21:44Scalability patterns
- 24:00Q&A
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