CrewAI is a Python framework designed for building, orchestrating, and automating multi-agent systems with built-in guardrails, memory, knowledge, and observability. It supports flexible process definitions, human-in-the-loop triggers, and enterprise features for deployment and monitoring. Agents can produce structured outputs using Pydantic.

The OpenAI Agents SDK is a lightweight Python framework for building production-ready agentic AI applications. It provides primitives like agents, tools, and guardrails, managing complex multi-step workflows with built-in tracing and state management. The SDK prioritizes ease of use while allowing extensive customization for intricate agent coordination.

• +Provides built-in guardrails, memory, knowledge, and observability for multi-agent systems.
• +Agents can be composed with tools and produce structured outputs using Pydantic.
• +Supports orchestration of complex flows, including state management, persistent execution, and workflow resumption.
• +Allows defining sequential, hierarchical, or hybrid processes with callbacks and human-in-the-loop triggers.
• +Includes enterprise features for environment management, safe redeployments, and live run monitoring via a console.
• +Offers integrations with business applications like Gmail, Slack, and Salesforce for automation triggers.

• +Offers a lightweight, easy-to-use package with few abstractions for building agentic AI applications.
• +Provides built-in tracing for visualizing, debugging, evaluating, and fine-tuning agentic workflows.
• +Supports complex multi-agent coordination through 'Agents as tools' (handoffs) and isolated 'Sandbox agents'.
• +Includes Guardrails for input validation and safety checks, failing fast on non-compliance.
• +Manages persistent memory across turns using 'Sessions' to maintain working context.
• +Facilitates turning any Python function into a tool with automatic schema generation and Pydantic validation.

• −Higher-level abstraction limits direct control over the LLM interaction loop, tool dispatch, and state handling.
• −Less optimal for short-lived workflows that only require a single model response, due to its managed runtime overhead.

The framework manages state, persists execution, and allows resuming long-running workflows.

The SDK provides a persistent memory layer called Sessions for maintaining working context across agent turns and within an agent loop.