Agno

Profile

Overview

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

Bottom Line Up Front

Agno is an agent platform designed to build, deploy, and manage AI agents in production environments. It supports agents built using any framework or no-code UI, providing production-grade features like tracing, scheduling, and RBAC. Agno allows teams to automate diverse tasks from data labeling and document extraction to product copilots while maintaining data ownership.

Best For

Orchestrating, deploying, and managing a fleet of AI agents for product, ML, and operations workflows.

Avoid If

no data

Strengths

  • +Productionizes agents built with any framework, offering flexibility in agent creation.
  • +Provides robust production features for agents, including tracing, scheduling, role-based access control (RBAC), and audit trails.
  • +Supports management of the entire agent development lifecycle using coding agents.
  • +Offers native typesafety and multi-modal capabilities for various input/output modalities, including structured output.
  • +Ensures data ownership by storing all session, memory, and trace data in the user's own database and cloud.
  • +Enables auto-improvement of agents using production usage data via provided code mechanisms.

Weaknesses

    Project Health

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

    Stars

    40,279

    Open Issues

    936

    Last Commit

    0d ago

    Commit Frequency

    25x/week

    Bus Factor Score

    8 / 10

    Maintainers

    100

    Latest Version

    v2.6.8

    Total Releases

    100

    Repo Age

    4y

    Forks

    5,411

    Monthly Downloads

    2.6M

    last 30 days

    Versions Published

    207

    Known Vulnerabilities

    2Highest: Critical

    Dependent Repos

    0

    public repos using this

    Fit

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

    State Management

    Agno stores all session, memory, and trace data in the user's own database within their cloud environment.

    Perspective

    Your expertise shapes what we build next.

    We build for engineers who make real architectural decisions. If something is missing, inaccurate, or could be more useful — we want to hear it.

    Last updated: 21 May 2026

    ·

    FrameworkPicker — The technical decision engine for the agentic AI era.