CrewAI — multi-agent AI framework and orchestration platform

Use when

You are building multi-agent AI systems—role-based crews, delegated tasks, and tool use—and want an open-source Python framework plus optional hosted deployment on crewai.com.

Skip when

You need a no-code chatbot builder, a single-model chat wrapper with no orchestration, or you cannot run Python in your stack.

Try instead

Use Uwarp no-code agent builders or coding assistants when you want faster UI-first bots or IDE-native workflows without multi-agent Python setup.

• Coze overview
• DeepSeek Harness overview
• Cursor overview

• CrewAIThis page

  Pricing

  Open-source framework free to use; hosted platform freemium with paid cloud tiers

  Learning cost

  Moderate—Python, agents, roles, and tasks; faster with LLM API familiarity

  Output limits

  Multi-agent crews with roles, tools, memory, and optional hosted deployment

  Privacy

  Self-hosted runs locally or on your cloud; hosted platform processes jobs on CrewAI infrastructure

• LangGraph

  Pricing

  Open-source library; LangSmith and platform costs separate

  Learning cost

  Moderate to high—graph nodes, state, and LangChain ecosystem concepts

  Output limits

  Flexible stateful agent graphs and human-in-the-loop flows

  Privacy

  Self-hosted graphs keep data in your environment; LangSmith telemetry is optional

• AutoGen

  Pricing

  Open-source framework; compute and hosting are BYO

  Learning cost

  Moderate to high—multi-agent conversation patterns and code-first setup

  Output limits

  Conversable agent teams with customizable agent behaviors

  Privacy

  Self-hosted runs in your Python environment; model calls go to your chosen providers

1. CrewAI — official site
2. CrewAI — pricing
3. LangGraph — official site
4. AutoGen — official site

Free tier

Yes

Pricing summary

The CrewAI open-source framework is free to use; you pay for your own model APIs and infrastructure. The hosted CrewAI platform offers a freemium tier with paid plans for team deployment, monitoring, and higher limits. Confirm live plan names on crewai.com/pricing.

Reviewed on 1 September 2026 · CrewAI — pricing

• Role-based agent crews

  Assign specialized agents—researcher, writer, reviewer—with delegated tasks and shared context.

• Tool and task orchestration

  Chain tools, APIs, and sequential tasks so agents collaborate instead of one model doing everything.

• Open-source Python framework

  Run crews locally or on your cloud with full control over models, secrets, and deployment.

• Hosted platform option

  Deploy and monitor crews on crewai.com when you want less ops overhead than self-hosting everything.

1. 1

   Define agents and roles

   Specify each agent’s goal, backstory, and tools so responsibilities split cleanly across the crew.

2. 2

   Wire tasks and dependencies

   Order tasks with outputs feeding the next agent—research before drafting, review before publish.

3. 3

   Choose self-hosted or platform

   Prototype in Python locally, then move to the hosted platform if you need team dashboards and managed runs.

4. 4

   Observe and tighten prompts

   Log intermediate steps, reduce tool misuse, and cap loops before production traffic hits your API budget.

• AI engineers prototyping agent teams

  Builders who outgrew single-prompt chains and need explicit roles and task delegation.

• Automation teams with Python skills

  Groups automating research, reporting, or ops workflows that benefit from multiple specialized steps.

• Startups shipping agent features

  Teams that want open-source flexibility now and optional hosted deployment as usage grows.

Open source plus hosted SaaS

The framework is open source; the commercial platform adds deployment, monitoring, and team features on paid tiers.

Bring your own models

Self-hosted crews connect to your chosen LLM providers—you control API keys, regions, and spend caps.

Python runtime required

CrewAI targets Python developers. Non-Python teams should evaluate no-code agent builders instead.