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JARVIS - AI Agent Frameworks Tool

Overview

JARVIS is an AI system developed by Microsoft that connects large language models with expert AI models from the ML community. It orchestrates task planning, model selection, and execution across multiple interfaces and supports cloud and local deployments.

Key Features

  • Connects LLMs with specialized ML models
  • Orchestrates task planning and execution pipelines
  • Configurable model selection for tasks
  • Multiple interfaces: CLI, Gradio demo, web APIs
  • Supports integration with cloud and local deployments

Ideal Use Cases

  • Build multi-model AI agents
  • Orchestrate complex model workflows and pipelines
  • Prototype tools combining LLMs and expert models
  • Deploy agent workflows to cloud or local infrastructure
  • Research model composition and selection strategies

Getting Started

  • Clone the repository from https://github.com/microsoft/JARVIS
  • Read the README and documentation for architecture and requirements
  • Select an interface: CLI, Gradio demo, or web API
  • Configure models, credentials, and deployment settings
  • Run a provided demo or example pipeline
  • Adapt pipelines to your models, data, and infrastructure

Pricing

Not disclosed. Check the GitHub repository for licensing information and deployment cost considerations.

Limitations

  • Requires setup and integration with models and infrastructure
  • Deployment and operational costs are not specified in the repository
  • May require technical expertise to configure orchestration and model selection

Key Information

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