Hugging Face Agents vs LangGraph
A side-by-side look at scores, pricing and features — with RECATOOLS' ASEAN-aware verdict for each.
Hugging Face Agents
Hugging Face's minimal library for code-writing agents
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LangGraph
Open-source graph framework for durable, stateful AI agents
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| RECATOOLS Score | 6.6 / 10 | 8.3 / 10 |
| Capability | ||
| Value for money | ||
| Ease of use | ||
| ASEAN readiness | ||
| API quality | ||
| Pricing | Open Source | Freemium |
| Free tier | — | — |
| Paid from | — | — |
| Has API | ✗ | ✓ |
| Open source | ✓ | ✓ |
| Free to use | ✓ | ✓ |
| Users | — | — |
| Founded | 2024 | — |
| Maker | — | — |
| Verdict | smolagents' pitch is that an agent writing actual Python to call tools is more reliable than one emitting structured tool-call JSON that then gets parsed — Hugging Face claims roughly 30% fewer steps and LLM calls versus... |
LangGraph has genuine production mileage that most agent frameworks can only cite in a blog post: Klarna's customer-support assistant runs on it at 85 million users, Replit Agent's multi-step app-building flow is built o... |
| Full review → | Full review → |
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Comparisons cover up to 4 tools. Scores are RECATOOLS editorial assessments; verify current pricing on each vendor's site.