JARVIS - AI Agent Frameworks Tool
Overview
JARVIS is an AI system from Microsoft that connects large language models with expert ML models from the community. It orchestrates task planning, model selection, and execution to run multi-model workflows.
Key Features
- Orchestrates task planning across multiple models
- Selects and routes tasks to expert ML models
- Executes model pipelines end-to-end
- Supports CLI, Gradio demo, and web APIs
- Integrates with cloud and local deployments
- Open-source repository hosted on GitHub
Ideal Use Cases
- Build multi-model agent pipelines for research or prototyping
- Prototype LLM orchestrations with expert ML components
- Deploy AI agents to cloud or local environments
- Create interactive demos using the Gradio interface
- Integrate external model endpoints via web APIs
Getting Started
- Clone the GitHub repository
- Read the README and available documentation
- Choose a deployment mode: cloud or local
- Install project dependencies
- Configure model endpoints and credentials
- Launch the CLI or Gradio demo to test
- Integrate functionality via the provided web APIs
Pricing
Pricing and commercial terms are not disclosed in the repository.
Limitations
- Pricing and commercial terms are not disclosed in the repository
- Requires manual configuration for cloud or local deployments
Key Information
- Category: Agent Frameworks
- Type: AI Agent Frameworks Tool