What can HuggingFace Agent do?

HuggingFace Agent can: Agent creation and deployment, Access to 3M+ models and 500k+ datasets, Integration with Hugging Face Spaces for demos, Dedicated inference infrastructure. Best for: Machine learning engineers building and deploying AI agents.

How much does HuggingFace Agent cost?

HuggingFace Agent offers a free plan.

Is HuggingFace Agent free?

HuggingFace Agent offers a free plan with limited features. Paid upgrades are available for advanced usage.

What makes HuggingFace Agent unique?

Hugging Face Agent leverages the vast Hugging Face Hub, allowing agents to interact with millions of models and datasets, and deploy directly to Spaces with dedicated compute. Its open-source nature and focus on community collaboration for agent development is a key differentiator.

Does HuggingFace Agent have an API?

Yes, HuggingFace Agent offers a public API for developers to integrate its capabilities into custom applications and workflows.

What platforms does HuggingFace Agent support?

HuggingFace Agent is available on web, API, and CLI.

What languages does HuggingFace Agent support?

HuggingFace Agent supports English.

Does HuggingFace Agent work offline?

No, HuggingFace Agent requires an active internet connection to function.

Who is HuggingFace Agent for?

HuggingFace Agent is designed for Machine learning engineers building and deploying AI agents; Researchers collaborating on agentic AI projects with open-source tools; Developers needing dedicated and autoscaling infrastructure for ML models.

HuggingFace Agent

Open Source(Apache-2.0)

Verified

AI-Native

Most customizable

Build and run agents in a few lines of code

SOC 2 Type II

GDPR

Public status page

No training on your data

Global

Last updated: Oct 12, 2026

Open Source

Visit Site 29.7k

huggingface.co

Visit huggingface.co

Quick Answer

smolagents is an open-source Python library from Hugging Face for building and running agents in just a few lines of code. Its CodeAgent writes actions in code, while ToolCallingAgent supports JSON/text-based tool-calling. It is model-agnostic, can execute code in sandboxes via Modal, Blaxel, E2B or Docker, and shares agents and tools on the Hub.

About HuggingFace Agent

Hugging Face's agent framework is smolagents, an open-source Python library for building and running agents in a few lines of code. Its CodeAgent writes actions as code executed in a sandbox, alongside ToolCallingAgent for JSON tool calling. It is model-agnostic across Hub Inference providers, OpenAI, Anthropic, LiteLLM, Transformers and Ollama, and agents and tools can be shared on the Hub.

What Makes It Unique

smolagents gives first-class support to code agents: CodeAgent writes its actions in code, which can run sandboxed via Modal, Blaxel, E2B or Docker. Agents and tools can be shared to and loaded from the Hugging Face Hub as Gradio Spaces.

AI-extracted from public sources. May contain errors. Methodology · Report an error

Decision Intelligence

Best For

Developers building and running agents in a few lines of Python

Developers who want agents to write their actions as code

Developers sharing agents and tools on the Hugging Face Hub

Pricing Overview

Type

Open Source

Free Trial

Credit Card

Not Required

Free Plan

Yes

Dimension Scores

· 6.5 avg

How good it is, across universal quality axes

Ease of Use2/10

Customization9/10

Support9/10

Integration7/10

Compliance & Data Protection4/10

Performance8/10

AI-analyzed from product data·High confidenceHow we score

Task Scores

· 5.3 avg

What it can do, per category it works in · showing 7 of 10 tasks scoring 5+

Tool Use Delegation8/10

Role Definition6/10

Task Decomposition6/10

Agent Coordination6/10

Workflow Orchestration6/10

State Management6/10

Inter Agent Communication5/10

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Capabilities

Agent

Code

Fine-Tuning

Model Evaluation

Data Analysis

Embedding

Synthetic Data Generation

The Model(s) Behind It

Model details — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

Connects to 13+ models

Integrations & Connections

9 connections

AWS SesNative

Emails

MetronomeNative

Billing

StripeNative

Payment

MongoDB AtlasNative

Hosting/Infrastructure

Google Cloud PlatformNative

Hosting/Infrastructure

GitHubNative

Hosting code

OvhcloudNative

Hosting/Infrastructure

Slack TechnologiesNative

Communication

Auto-updated

Video

Trust Score

90/100

Excellent

Based on 11 data signals

Confidence: High

Reflects publicly available data, not an independent audit

Compliance & Verified38/38

VerifiedYes

GDPRYes

SOC 2 reportYes

SOC 2 Type IIYes

Human ReviewYes

Operational25/25

Status PageYes

Reliability0/10

No published data

Market Proof10/10

Notable CustomersAi2, Meta, Amazon

Company17/17

Company ListedYes

Team Size501-1000

User Base10M-50M

FundingAcquired

Health—

Not yet checked

AI Governance & Regulatory Disclosures

Legally-sensitive fields — extracted from public vendor sources by our pipeline (Smart Generator + A3 cross-referencing) or admin-entered. Shown as claimed by the vendor; not independently audited by Intelloro.

EU AI Act Risk Tier

Unclassified