CrewAI Tutorial: Get Started in 5 Minutes [2026]

What it does:

Each agent is configured with a role, goal, backstory, allowed tools, max iterations, and an LLM of your choice. The role-and-backstory pattern measurably improves reasoning quality versus generic system prompts and makes crew composition readable.

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What it does:

A Crew bundles agents with an ordered (or hierarchical) list of Tasks. Each task defines its description, expected output, assigned agent, and optional context dependencies on other tasks, enabling automatic context passing between steps.

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What it does:

Flows complement Crews by providing event-driven, code-first orchestration with explicit state, conditional branching, and the ability to embed Crews as steps. Use Flows when you need predictable control flow and Crews where you need agentic reasoning.

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What it does:

Assign different models to different agents — for example, a cheap model for classification and a frontier model for synthesis — and switch providers with a single config change. Supports streaming, function calling, and structured outputs across providers.

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What it does:

Built-in short-term memory for in-run context, long-term memory persisted across runs, entity memory for tracking people and concepts, and contextual memory that combines them. Backed by vector stores like Chroma to keep recall fast.

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What it does:

Ships with web search, scraping, file I/O, code execution, RAG, SQL, and integration tools. Developers can wrap any Python function as a tool with a description and arg schema, and the LLM will invoke it when reasoning suggests it is needed.

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What it does:

In addition to sequential execution, crews can run in a hierarchical mode where a manager agent (powered by a stronger LLM) plans, delegates, and validates sub-tasks across worker agents — useful for open-ended problems.

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What it does:

Hosted control plane for deploying crews as APIs, viewing execution traces, managing versions, monitoring cost and latency, and granting role-based access. Targets teams running multiple crews in production.

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