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Agno
SmolAgents

Comparison Preset

VerdictAgno vs SmolAgents · For Enterprises

Agno is the clear choice for an enterprise environment due to its focus on control, security, and long-term maintainability. It provides critical features like RBAC, tracing, and audit logs, and guarantees full ownership over your data by storing state in your own database. Agno is more mature, has fewer known critical vulnerabilities (2 vs 5), and demonstrates much more active development with a commit frequency of 25x/week. The Apache-2.0 license and high bus factor of 8/10 further mitigate risk for long-term deployment.

Overview

The bottom line — what this framework is, who it's for, and when to walk away.

Bottom Line Up Front

Agno provides an SDK and runtime (AgentOS) for building, running, and managing agent platforms. It enables the creation of multi-agent systems and step-based workflows, offering production features like isolated sessions, RBAC, and data ownership. Teams can deploy intelligent software in their own cloud environments.

SmolAgents is an open-source Python library designed to easily build and run agents with minimal code. It supports both code-execution and tool-calling agents, is model and tool-agnostic, and integrates with Hugging Face Hub. Secure code execution and modality-agnostic capabilities extend its utility.

Best For

Building and productionizing multi-agent platforms, in-product copilots, and AI-driven data workflows.

Rapidly building, running, and sharing LLM agents, especially those executing Python code securely.

Avoid If

no data

Executing untrusted `CodeAgent` prompts without configuring a sandboxed environment.

Strengths

  • +Provides an SDK for building agents, multi-agent teams, and step-based agentic workflows.
  • +AgentOS runtime offers multi-user, isolated sessions with tracing, scheduling, RBAC, and audit logs.
  • +Allows running agents as a service with a unified control plane for management.
  • +Runs in your cloud using your database, ensuring ownership of session, memory, and trace data.
  • +Natively typesafe and multi-modal, suitable for data labeling, extraction, and classification.
  • +Can productionize agents built with any framework, model, or cloud.
  • +Provides a simple API for agent development, with agent logic fitting in approximately 1000 lines of code.
  • +Offers first-class support for `CodeAgent`s that write and execute Python code, enabling natural composability.
  • +Supports secure code execution in sandboxed environments via Modal, Blaxel, E2B, or Docker.
  • +Includes `ToolCallingAgent` support for traditional JSON/text-based tool invocation paradigms.
  • +Integrates seamlessly with Hugging Face Hub for sharing and loading agents and tools as Gradio Spaces.
  • +Is model-agnostic, supporting Hugging Face Inference providers, OpenAI, Anthropic (via LiteLLM), and local models (Transformers, Ollama).
  • +Is modality-agnostic, capable of handling vision, video, and audio inputs for broader application types.
  • +Is tool-agnostic, allowing integration with tools from MCP servers, LangChain, or other Hugging Face Spaces.
  • +Includes command-line utilities (smolagent, webagent) for quick agent execution without boilerplate code.

Weaknesses

    • −Potential security risks exist if `CodeAgent` is used to execute untrusted code without configuring a sandboxed environment.
    • −Minimalistic abstractions may require more direct coding or boilerplate for highly customized or complex agent workflows.
    • −No explicit mention of built-in memory management or long-term conversational state management is provided.

    Project Health

    Is this project alive, well-maintained, and safe to bet on long-term?

    Bus Factor Score

    8 / 10
    9 / 10

    Maintainers

    100
    100

    Open Issues

    946
    639

    Fit

    Does it support the workflows, patterns, and capabilities your team actually needs?

    State Management

    AgentOS runtime manages state through multi-user, isolated sessions, allowing users to own their session, memory, and trace data.

    no data

    Cost & Licensing

    What does it actually cost? License type, pricing model, and hidden fees.

    License

    Apache-2.0
    Apache-2.0
    +Add comparison point

    Perspective

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