Flowise vs smolagents
Side-by-side comparison with live GitHub signals. Last updated May 16, 2026.
| Metric | Flowise | smolagents |
|---|---|---|
| GitHub Stars | 52.8K | 27.3K |
| Contributors | 318 | 200 |
| Last Commit | May 14, 2026 | May 14, 2026 |
| Open Issues | 859 | 535 |
| License | open-source | open-source |
| Pricing | open-source | open-source |
| Free Tier | Yes | Yes |
| Category | frameworks | frameworks |
| Trending | No | No |
Shared Tags
Only in Flowise
Only in smolagents
About Flowise
Flowise is an open-source low-code tool for building customized LLM orchestration flows and AI agents. Its drag-and-drop UI lets you connect LLMs, memory, tools, and data sources visually. Supports LangChain and LlamaIndex under the hood, with 100+ integrations. Deploy as API endpoints with one click.
View full listingAbout smolagents
smolagents is Hugging Face's minimalist agent framework that prioritizes simplicity and transparency over abstraction. At its core are CodeAgent, which writes and executes Python code as actions rather than relying on JSON tool calls, and ToolCallingAgent for traditional function-calling workflows. The framework is model-agnostic and integrates natively with the Hugging Face Hub, Transformers, and Inference API. Its small surface area makes it easy to audit, extend, and debug — ideal for researchers and practitioners who want full visibility into agent behavior without fighting a complex framework.
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