CrewAI is a large, actively maintained Python framework for orchestrating autonomous AI agents and event-driven multi-agent workflows. The codebase is organized as a monorepo with six libraries under `lib/`: `crewai` (core framework), `crewai-cli` (CLI), `crewai-tools` (tool integrations), `crewai-files` (multimodal file handling), `crewai-core` (shared utilities), and `devtools` (release tooling). The core provides two complementary abstractions — Crews for autonomous role-based agent collaboration and Flows for precise, state-machine-driven orchestration — that can be combined in production applications. The framework supports numerous LLM providers (OpenAI, Anthropic, Gemini, Azure, Bedrock, and many more), a wide array of built-in and third-party tools, MCP/A2A protocol integrations, human-in-the-loop flows, and enterprise deployment via the AMP Suite. The repository has extensive test coverage (pytest with VCR cassettes), strong static analysis (ruff, mypy, bandit), and a well-defined release process. While the framework code is solid and well-structured, the repository is dominated by auto-generated documentation files (thousands of `.mdx` files across multiple versions and languages) and repetitive tool README templates, which inflate the file count but contribute little reusable engineering value.