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.
-
Notifications
You must be signed in to change notification settings - Fork 0
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.
Agney-gt/langgraph-memory-agent
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
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.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published
