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