smolagents

At a glance

• Editor score
  5.7 / 10
• Pricing
  Free plan
• Best for
  Lightweight agents with code-execution options
• Free plan
  Yes
• Paid from
  None
• Facts checked
  25 Sep 2026

• Where it wins

  • Choose code-generating or structured JSON tool-calling agents.
  • Connect agents to custom tools and supported model backends.
  • Run code locally or with Docker, E2B, or Blaxel sandbox options.

• Where it doesn't

  • Requires Python development rather than a visual workflow builder.
  • Code-execution choices require selecting and configuring an execution mode.
  • Telemetry is an extra, and support channels are docs and community.

Our verdict on smolagents

For developers building AI agents in Python, smolagents offers two approaches: CodeAgent generates Python code for tool calls and computations, while ToolCallingAgent uses structured JSON tool calls. Agents can manage and call other agents, and custom tools can be defined as decorated functions or Tool subclasses. It is an open-source library installed as a Python package, not a hosted visual workflow application, so it suits teams comfortable building in code rather than assembling workflows in a visual editor.

Its model and ecosystem fit is broad: supported integrations include Hugging Face Inference Providers, Transformers, OpenAI, Anthropic via LiteLLM, Azure OpenAI, Amazon Bedrock, MLX, Ollama, and MCP. Model adapters support Hugging Face Inference Providers and other model backends. For code execution, developers can choose local execution or sandbox options including Docker, E2B, and Blaxel. That flexibility is useful when an agent needs to execute generated code, but it also means the execution approach is part of the implementation decision. Choose smolagents when these code-first agent patterns and provider options match the project; consider a visual workflow application if building without Python is a priority.

The library is open source with a free plan, and its platform support includes Linux, macOS, Windows, and self-hosted deployment. A telemetry extra adds monitoring and tracing support, while documentation and community are the listed support channels. The feature set focuses on agents, tools, model connections, execution, and tracing rather than visual workflow construction. Teams seeking those focused capabilities can start with the library; buyers looking for a hosted visual builder or a packaged workflow environment should look elsewhere.

smolagents pricing

smolagents fact sheet

smolagents integrations

smolagents lists 9 integrations on its own site.

• Hugging Face Inference Providers
• Transformers
• OpenAI
• Anthropic via LiteLLM
• Azure OpenAI
• Amazon Bedrock
• MLX
• Ollama
• MCP

Alternatives to smolagents

• LangChainA self-hosted framework for LLM apps, retrieval workflows, and agents.9.4
• LLangGraphGraph-based control for developers who need durable, stateful agent workflows.9.2
• MAMicrosoft Agent FrameworkAn open-source framework for multi-agent orchestration, with checkpoints and approval gates.9.1

See all smolagents alternatives →

Featured on iTechGuides

smolagents is listed in our LLM Application Development Frameworks directory. Add the badge to your site — it links back to this page.

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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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Last updated 9 Oct 2026 · How we research and update