NVIDIA AgentIQ - AI Agent Frameworks Tool

Overview

NVIDIA AgentIQ is an open-source toolkit for composing, connecting, and optimizing teams of AI agents by modeling agent workflows as simple function calls. The project treats individual agent behaviors as composable building blocks, enabling developers to define agent roles, stitch them into multi-step workflows, and iterate on team designs without heavyweight orchestration code. According to the GitHub repository (https://github.com/NVIDIA/AgentIQ), AgentIQ emphasizes composability, reproducibility, and scalability so teams can prototype agent interaction patterns quickly and move those patterns toward production. AgentIQ is designed to fit into existing development stacks: agents can be expressed as callable units, composed into pipelines or ensembles, and executed with orchestration controls that prioritize parallelism, routing, and optimization. The repository provides example workflows and templates to accelerate experimentation with agent teams, and is positioned to integrate with common model backends and NVIDIA inference tooling for GPU-accelerated deployments. For the latest code, examples, and contribution guidelines, consult the project's GitHub page.

Installation

Install via pip:

git clone https://github.com/NVIDIA/AgentIQ.git

cd AgentIQ && python -m pip install -e .

OR: python -m pip install git+https://github.com/NVIDIA/AgentIQ.git

Key Features

• Treat agent workflows as simple function calls to simplify composition and testing.
• Compose multiple agents into teams and pipelines using lightweight, reusable building blocks.
• Execute agents in parallel or sequential patterns for ensemble, search, and evaluation workflows.
• Example agent templates and workflow samples to accelerate prototyping and iteration.
• Designed for integration with model backends and NVIDIA inference/GPU tooling for scaling.

Community

AgentIQ is developed as an open-source project on GitHub (https://github.com/NVIDIA/AgentIQ). The repository hosts source code, examples, and an issue tracker for bug reports and feature requests. Contributors can open issues, submit pull requests, and follow repository discussions to stay current with development. For usage questions, examples, and the latest activity, refer to the project README and issue/PR history on the GitHub page.

Key Information

• Category: Agent Frameworks
• Type: AI Agent Frameworks Tool