smolagents
Apache-licensed Python library for code-writing and structured-tool agents across local and hosted models
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What this product helps you do
smolagents is Hugging Face's Apache-2.0 agent library built around minimal abstractions. CodeAgent expresses actions as Python, while ToolCallingAgent uses structured calls; both can use custom tools and a range of local or hosted model backends. The documentation also covers retrieval, vision and browser tools, multi-agent systems, streaming, monitoring, and sharing agents through the Hub. The software is free, but model inference, managed sandboxes, tools, infrastructure, and observability can incur separate costs. Hugging Face explicitly warns that its local Python executor is not a security boundary, so consequential code execution requires a real sandbox and strict tool permissions.
Problems it solves
- Developers need a small inspectable agent loop instead of a large orchestration framework
- Complex tasks require models to compose tools, transform outputs, and iterate across multiple steps
- Teams need a common interface across Hugging Face, local, and third-party model backends
- Agent prototypes need reusable tools, monitoring, delegation, and optional remote execution
smolagents is Hugging Face's lightweight Apache-licensed Python library for building code-writing or structured-tool agents. It supports custom tools, local and hosted model adapters, retrieval, vision, browser, multi-agent, monitoring, and Hub workflows.
The library is free, but inference and execution infrastructure are separate. Hugging Face states that the local Python executor is not a security boundary, so production code execution needs real isolation and least-privilege controls.
Information
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smolagents
Apache-licensed Python library for code-writing and structured-tool agents across local and hosted models
smolagents is Hugging Face's lightweight Apache-licensed Python library for building code-writing or structured-tool agents. It supports custom tools, local and hosted model adapters, retrieval, vision, browser, multi-agent, monitoring, and Hub workflows.
The library is free, but inference and execution infrastructure are separate. Hugging Face states that the local Python executor is not a security boundary, so production code execution needs real isolation and least-privilege controls.
What this product helps you do
smolagents is Hugging Face's Apache-2.0 agent library built around minimal abstractions. CodeAgent expresses actions as Python, while ToolCallingAgent uses structured calls; both can use custom tools and a range of local or hosted model backends. The documentation also covers retrieval, vision and browser tools, multi-agent systems, streaming, monitoring, and sharing agents through the Hub. The software is free, but model inference, managed sandboxes, tools, infrastructure, and observability can incur separate costs. Hugging Face explicitly warns that its local Python executor is not a security boundary, so consequential code execution requires a real sandbox and strict tool permissions.
Problems it solves
- Developers need a small inspectable agent loop instead of a large orchestration framework
- Complex tasks require models to compose tools, transform outputs, and iterate across multiple steps
- Teams need a common interface across Hugging Face, local, and third-party model backends
- Agent prototypes need reusable tools, monitoring, delegation, and optional remote execution
Information
You are leaving botconomy for the provider’s website. Link verified 9/23/2026.
Related AI products
Julep 3
Julep 3 compiles typed Python flows, tools, pure functions, reasoners, branches, fan-out, retries, and timeouts into frozen durable-execution graphs that can run locally or through optional Temporal, DBOS, and control-plane components.
Micro Agent
Micro Agent is an MIT-licensed command-line coding tool that creates or uses tests, writes code for a focused task, runs the test command, and iterates until the checks pass or a configured run limit is reached.
Letta
Letta provides an agent harness, applications, and developer interfaces for building stateful agents whose memory, identity, tools, and conversations persist over time.