Hugging Face Agents
Open-source agent library from Hugging Face
Overview
Hugging Face's smolagents framework (formerly transformers-agents) is an open-source library for building agents using HF-hosted or any LLM. Particularly lightweight; designed for code-execution agents. Apache 2.0.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 20 May 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
Use cases
ASEAN Perspective
Hugging Face Agents in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
smolagents is Hugging Face's deliberately minimal agent framework, centred on agents that write and execute Python to act rather than emitting verbose tool-call JSON. Its appeal is simplicity and transparency: little boilerplate, model-agnostic (any HF or API model), and easy to read and audit compared with heavier frameworks. It suits developers who want a lightweight, hackable starting point for tool-using agents.
Caveats: it is a library, not a product, so there is no UI, hosting, or support, and code-execution agents need proper sandboxing for safety. For complex multi-agent orchestration, teams may outgrow it and reach for richer frameworks. Open-source and free, globally usable; no localisation or ASEAN provisioning. It is the framework itself, so there is no separate hosted API.
About this listing
This entry was compiled from publicly available data including Hugging Face Agents's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Hugging Face Agents unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
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