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This project demonstrates how to build a capable memory-augmented AI agent using LangGraph, Groq’s blazing-fast LLaMA 4 model, and Tavily Search, it's somehow better than OpenAI’s Assistants API in context retention, speed, and cost-efficiency.

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Agney-gt/langgraph-memory-agent

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This project demonstrates how to build a capable memory-augmented AI agent using LangGraph, Groq’s blazing-fast LLaMA 4 model, and Tavily Search, it's better than OpenAI’s Assistants API in context retention, speed, and cost-efficiency.

  1. The Agent Takes in a Typescript Interface
  2. User inputs values one by one
  3. Agent Outputs formatted JSON 430104448-6503a01f-756c-4eb8-bc85-0c6a3efe334a

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This project demonstrates how to build a capable memory-augmented AI agent using LangGraph, Groq’s blazing-fast LLaMA 4 model, and Tavily Search, it's somehow better than OpenAI’s Assistants API in context retention, speed, and cost-efficiency.

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