CrewAI vs Langflow
A side-by-side comparison to help you choose between CrewAI and Langflow.
| CrewAI | Langflow | |
|---|---|---|
| Description | Open-source Python framework and enterprise control plane for building, deploying, and governing multi-agent AI workflows. | Open-source visual builder for AI agents, RAG workflows, MCP tools, and deployable Python-based LLM applications. |
| Category | 自动化 Agent 与集成 | 自动化 Agent 与集成 |
| Pricing | freemium · CrewAI has two public pricing surfaces. The open-source Python framework is MIT-licensed and free to run on your own infrastructure, with separate LLM/API and hosting costs. The CrewAI AMP pricing page currently lists a Basic Free plan with 50 workflow executions per month and an Enterprise Custom plan for scaled production adoption. Basic includes visual building, GitHub integration, templates, tracing, OpenTelemetry, guardrails, human-in-the-loop, workflow chat, usage dashboards, LLM testing, and CrewAI cloud deployment, but caps execution at 50 per month and excludes enterprise connectors, SSO/RBAC, dedicated infrastructure, and dedicated support. Enterprise is custom priced, includes everything in Free, and adds CrewAI or customer/private infrastructure, enterprise connectors, dedicated VPC/NAT/SAM/FedRAMP deployment options, SSO, RBAC, flexible overage, dedicated support, on-site services, training, onboarding, deployment help, and 50 hours of development per month. | freemium · Langflow does not currently expose a standalone public pricing page in the official Langflow site or documentation crawl. Official sources show a free entry point through Langflow OSS, Langflow Desktop, Docker, and the Python package. The IBM Langflow page lists IBM Langflow Cloud as Private Preview, describes IBM Elite Support for Langflow as a subscription for enterprises that need direct access to Langflow expertise, and describes an integration path with IBM watsonx Orchestrate. None of those pages publish Langflow- specific seat, usage, credit, or support prices. Self-hosted production cost therefore comes from infrastructure, LLM APIs, vector databases, storage, monitoring, security, and team operations rather than a Langflow license fee. |
| Rating | 4.3 | 4.2 |
| Features | No code visual editorCLI and API accessRole based agent managementReal time tracing and observabilityAutomated model improvementEnterprise governance controls | Visual drag drop workflow builderPython code exportDeploy as APIHundreds of pre built integrationsMulti agent supportCustom component creation |
| Website | Visit | Visit |
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