CrewAI

Profile

Overview

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

Bottom Line Up Front

CrewAI is a Python framework for building, orchestrating, and automating multi-agent systems. It provides features like guardrails, memory, knowledge, and observability for agent design. The platform supports complex workflows with state management, persistence, and enterprise integrations.

Best For

Building and orchestrating multi-agent systems for complex automations and enterprise integrations.

Avoid If

no data

Strengths

  • +Facilitates the design of multi-agent systems with built-in guardrails, memory, knowledge, and observability.
  • +Agents can compose with tools and structured outputs using Pydantic.
  • +Orchestrates workflows with state management, persistent execution, and resumable long-running processes.
  • +Supports defining sequential, hierarchical, or hybrid processes with human-in-the-loop triggers.
  • +Provides integrations for enterprise tools like Gmail, Slack, and Salesforce, passing trigger payloads automatically.

Weaknesses

    Project Health

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

    Stars

    48,029

    Open Issues

    501

    Last Commit

    1d ago

    Commit Frequency

    25x/week

    Bus Factor Score

    8 / 10

    Maintainers

    100

    Latest Version

    1.13.0

    Total Releases

    75

    Repo Age

    2y 5mo

    Forks

    6,538

    Monthly Downloads

    5.2M

    last 30 days

    Versions Published

    218

    Known Vulnerabilities

    0None

    Dependent Repos

    0

    public repos using this

    Fit

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

    State Management

    The framework manages state and persists execution for long-running workflows, and agents are designed with memory capabilities.

    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: 4 April 2026

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