Data Science & ML
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AgentIQ Meet icon

AgentIQ Meet

Createdsparktsao

Powers dynamic, context-aware conversations using NVIDIA's AgentIQ and Llama3 within a LangGraph-orchestrated architecture.

Github Repo

About

AgentIQ Meet leverages Anthropic MCP (via FastMCP) and GPT-4o-mini, orchestrated with LangGraph and presented via a Streamlit frontend. It's enhanced with NVIDIA's AgentIQ Workflow and NIM Inference Microservice, enabling reasoning with NVIDIA’s Llama3 Nemotron Super 49B model (R1 version). This stack creates a more dynamic, context-aware, and powerful conversational experience with tool-use capabilities.

Key Features

  • Tool-using agents enabled by LangGraph and AgentIQ.
  • Easy deployment using aiq CLI.
  • Natural reasoning with large-scale NVIDIA models.
  • Interactive Streamlit frontend.
  • 1 GitHub stars
  • Real-time LLM monitoring and observability with LangFuse.

Use Cases

  • Building advanced AI-powered conversational applications.
  • Integrating tool-use capabilities into chat interfaces.
  • Leveraging NVIDIA's Llama3 model for reasoning in conversational AI.