The Agent ExaminerIndependent Review Authority
FrameworkOpen sourceNot yet hands-on tested

CrewAI

An open-source Python framework for orchestrating role-playing, autonomous multi-agent crews, with an enterprise console.

What it is

CrewAI is an open-source (MIT) Python framework for building and orchestrating multi-agent workflows — "crews" and "flows" — with an enterprise platform for deploying, managing, and monitoring agents on CrewAI or private infrastructure.

At a glance

7/7 facts sourced
Pricing
Basic is free (visual editor, AI copilot, GitHub integration, 50 workflow executions/mo). Enterprise is custom-priced (request a trial); no public figure.source ↗
Hosting model
Hybrid — the open-source library is self-hosted via CLI; the Enterprise console offers managed deployment on CrewAI or private infrastructure.source ↗
Memory & state
A unified Memory class where the LLM infers scope and importance on save; retrieval is ranked by similarity, recency, and importance, defaulting to LanceDB with custom backends supported.source ↗
MCP support
Nativesource ↗
Integrations
Connectors including Gmail, Google Drive, Outlook, Teams, OneDrive, HubSpot, Slack, and Salesforce, plus tools to call existing CrewAI automations or Amazon Bedrock Agents.source ↗
Model providers
Native SDKs for OpenAI, Anthropic, Google, Azure, AWS Bedrock, and Snowflake Cortex; many more via LiteLLM (Llama, Mistral, Groq, Ollama, Perplexity, OpenRouter, and others).source ↗
Open source
Yessource ↗
4.0of 5

Editorial scorecard

Overall 4.0 / 5

Our opinion — the same 0–5 rubric is applied to every platform, including Alfe. See the rubric.

Developer experience4/5
Pricing transparency & value3/5
Scalability4/5
Memory & state4/5
Integrations4/5
MCP nativeness5/5

Strengths

  • Open source (MIT) and self-hostable.
  • Broad LLM coverage — six native SDKs plus many providers through LiteLLM.
  • Native MCP support across Stdio, SSE, and Streamable HTTP transports.

Trade-offs

  • The free plan is capped at 50 workflow executions per month.
  • No public pricing for the Enterprise tier.
  • Founding date and headquarters are not disclosed on the primary sites.

Our take

Editorial opinion — not a hands-on test result

In our opinion, CrewAI is a good fit for teams that think in terms of role-based agents collaborating on a task and want an open-source Python core they can self-host, with a managed console available when they need it. Its MCP support and LLM breadth are notable strengths; the main watch-items are the capped free tier and the lack of public enterprise pricing.

Sponsored

Alfe is a managed agent-hosting platform. If you want an agent hosted and running without wiring infrastructure yourself, see Alfe → (or read its dossier).

FAQ

Is CrewAI open source?
Yes — the CrewAI framework is MIT-licensed.
Does CrewAI support MCP?
Yes, natively — via the mcps field or MCPServerAdapter over Stdio, SSE, and Streamable HTTP transports.

Compare CrewAI

Sources

The Agent Examiner editorial · last updated 2026-07-01. Facts are drawn from each vendor’s own public materials; scores are our editorial opinion (methodology).

Product and company names are trademarks of their respective owners and are used here only to identify the products under discussion.