What can JARVIS (HuggingGPT) do?

JARVIS (HuggingGPT) can: Task Planning using LLMs to decompose user requests into subtasks, Model Selection from Hugging Face based on task descriptions, Task Execution by invoking selected AI models, Response Generation by integrating model results and using an LLM. Best for: Orchestrating diverse AI models for multi-modal tasks.

How much does JARVIS (HuggingGPT) cost?

JARVIS (HuggingGPT) is open source and free to self-host. Cloud hosting options may have separate pricing.

Does JARVIS (HuggingGPT) have an API?

Yes, JARVIS (HuggingGPT) offers a public API for developers to integrate its capabilities into custom applications and workflows.

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AI Agents

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JARVIS (HuggingGPT)

Open Source(MIT)

Open source

Multi-agent orchestration

Best for researchers

LLM-driven control

Hugging Face integration

Orchestrate expert AI models with an LLM as the central controller

Workflow

Coding

GPT-4

OPEN_SOURCE

ADVANCED Complexity

SELF_HOSTED

Last updated: May 16, 2026

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Quick Answer

JARVIS (HuggingGPT) is an open-source multi-agent framework from Microsoft Research that uses a large language model to orchestrate specialized AI models from Hugging Face. It enables LLMs to plan, reason, and execute complex multi-modal tasks by calling various tools. Best for researchers and developers building advanced AI systems. Free and open source.

Decision Intelligence

Best For

Orchestrating diverse AI models for multi-modal tasks

Researchers exploring LLM-driven agentic systems

Developing complex AI applications with tool use

Integrating various Hugging Face models into workflows

Not Ideal For

Non-technical users seeking a no-code solution

Simple, single-step AI tasks

Users without access to powerful computing resources

Production environments requiring enterprise-grade support without custom integration

Fit Score

Complexity

ADVANCED

Company Size

ENTERPRISE

Team Size

LARGE_TEAM

Skill Level

EXPERT

About JARVIS (HuggingGPT)

JARVIS (HuggingGPT) is an open-source multi-agent system that leverages large language models to coordinate various expert AI models from Hugging Face for complex task completion. It enables LLMs to perceive, reason, and interact with the environment by calling tools, effectively solving multi-modal AI tasks. Free and open source, developed by Microsoft Research.

AI-extracted from public sources. May contain errors. Methodology · Are you JARVIS (HuggingGPT)? Claim listing

What Makes JARVIS (HuggingGPT) Unique

It uniquely uses a large language model (LLM) as the central controller to plan tasks, select appropriate expert models from Hugging Face, and execute them, allowing for complex multi-modal task solving.

Capabilities

Orchestrates multiple expert AI models

Task planning and decomposition by LLM

Tool selection and execution

Multi-modal task solving

Leverages Hugging Face models

Reasoning and interaction with environment

Task Categories

Coding

Research

Workflow Orchestration

Pros

+Leverages a wide range of expert models from Hugging Face
+Enables LLMs to perform complex multi-modal tasks
+Open-source and extensible for research and development
+Facilitates advanced planning and tool-use capabilities

Limitations

-Requires technical expertise to set up and configure
-Performance depends on the underlying LLM and expert models
-May have high computational resource requirements
-Limited direct user interface, primarily code-driven

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Frequently Asked Questions

Your Actions

Dimension Scores

Ease of Use3/10

Output Quality7/10

Value for Money9/10

Customization7/10

Support6/10

Integration1/10

Task Scores

Task Delegation

8

Agent Coordination

7

Role Specialization

7

Scalability

7

Communication Protocol

7

Parallel Execution

6

Observability

6

Error Recovery

5

Trust Score

13/100

Limited Data

Based on 3 data signals

Reflects publicly available data, not an independent audit

Company Strength5/25

Company ListedMicrosoft Research

Operational Trust8/20

Data ResidencyData residency for JARVIS (HuggingGPT) depends on where the user deploys the open-source project and the data policies of the underlying LLMs and models used.

Open Source24.6K stars

Switching & Migration

Migration Difficulty

Moderate Effort

Data portable as:

CODE

Community Forum + Docs

API Access

Open Source

Quick Stats

Agent TypeWorkflow

Memoryshort term

Planningadvanced

CategoryCoding

PlatformsAPI, CLI

Reviews0

LaunchedMar 2023

Setup Time1-2 hours

Company & Links

Company Name

Microsoft Research

Launched

March 2023

Documentation Changelog

BabyLM Agent

Incentivizing sample-efficient LM pretraining

0.0

AI Agents

AI Agents

JARVIS (HuggingGPT)

Quick Answer

Decision Intelligence

Best For

Not Ideal For

Frequently Asked Questions

What is JARVIS (HuggingGPT)?

What can JARVIS (HuggingGPT) do?

How much does JARVIS (HuggingGPT) cost?

What makes JARVIS (HuggingGPT) unique?

Does JARVIS (HuggingGPT) have an API?

Dimension Scores

Task Scores

Trust Score

Switching & Migration