LangGraph vs CrewAI vs AutoGen
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | LangGraph | CrewAI | AutoGen |
|---|---|---|---|
| Pricing | Free (MIT license) | Contact for pricing (managed cloud/on-prem) | — |
| Best For | Engineering teams needing fine-grained control | Enterprise teams automating multi-step processes | — |
| Control Level | Low-level primitives, state graph design | High-level orchestration with visual editor | — |
| Human-in-the-Loop | Built-in checks for steering actions | Task guardrails and approval (AMP) | — |
| Integrations | Any LLM provider, LangSmith | Gmail, Slack, HubSpot, Salesforce, etc. | — |
| Deployment | Self-hosted or LangGraph Cloud | Managed cloud (AMP Cloud) or on-prem (AMP Factory) | — |
Choose LangGraph if you need low-level, customizable control over agent workflows with human-in-the-loop and are comfortable with a graph-based state machine; it's free and ideal for engineering teams. Choose CrewAI if you're an enterprise needing a comprehensive, no-code-to-code platform with pre-built tool integrations and centralized governance, even if it requires a sales contact for pricing.
Low-level orchestration framework for building reliable AI agents with human-in-the-loop control.
Visit WebsiteFeature-by-feature
LangGraph offers a state graph design for structured agent control, allowing fine-grained orchestration of single, multi-agent, and hierarchical architectures. Key features include human-in-the-loop checks for steering actions, built-in memory persisting across sessions, and token-by-token streaming for real-time reasoning. It integrates with any LLM provider and LangSmith for observability. CrewAI provides a higher-level orchestration framework with a visual editor (Studio) and AI copilot for no-code development, plus a code-first API for customization. Its integrated tools include Gmail, Slack, HubSpot, Salesforce, and Notion, and it offers real-time workflow tracing, automated and human-in-the-loop agent training, task guardrails, role-based access control, and serverless containers. CrewAI also features Discovery, which identifies automation opportunities from billions of agent runs, and integrates with NVIDIA NemoClaw for self-evolving agents. While LangGraph excels in control and flexibility, CrewAI prioritizes ease of use and enterprise governance.
Pricing compared
LangGraph is open-source under MIT license, meaning it's free to use, self-host, or modify. It integrates with LangGraph Cloud for managed hosting, but pricing for that is not specified here. CrewAI is a commercial product with contact-based pricing, typically targeting enterprises. It offers a managed cloud service (AMP Cloud) and on-premises deployment (AMP Factory). There is also an open-source framework, but the enterprise features (Studio, governance, etc.) require a paid plan. For budget-conscious teams, LangGraph is clearly more accessible. However, CrewAI may provide better ROI for enterprises needing integrated tools, security, and support at scale.
Who should pick which
- Engineering team building complex multi-step agentsPick: LangGraph
LangGraph's low-level primitives and state graph design give full control over agent workflows, human-in-the-loop, and memory—ideal for custom, production-grade agents.
- Enterprise automating multi-department workflowsPick: CrewAI
CrewAI's visual Studio, pre-built integrations (Gmail, Slack, Salesforce), and RBAC make it easy to deploy and govern AI agents at scale.
- Solo developer prototyping agentic appsPick: LangGraph
Free, open-source, and flexible; LangGraph allows deep customization without licensing costs.
- Non-technical subject matter expert building no-code agentsPick: CrewAI
CrewAI provides a visual editor with AI copilot, enabling no-code crew building and automated training.
- Real-time application requiring token-by-token streamingPick: LangGraph
LangGraph's built-in token-by-token streaming is specifically designed for real-time UX.
Benchmarks
| Metric | LangGraph | CrewAI | AutoGen |
|---|---|---|---|
| GitHub stars (Apr 2026) | ~28kgithub.com/langchain-ai/langgraph | ~30kgithub.com/crewAIInc/crewAI | ~39kgithub.com/microsoft/autogen |
| Token cost (normalised) | 1x baselinecommunity benchmarks | 1.5–2xcomparison benchmarks | 5–6xcommunity benchmarks |
| Time to first working multi-agent run | ~60 mingraph definition + state types | ~15 minrole/task DSL | ~30 minconversable agent setup |
| Built-in checkpointing | Yes Postgres/RedisLangGraph docs | Partial in-memory + pluginCrewAI+ docs | Nobring-your-own |
| Observability depth | Deep via LangSmithLangSmith product | Medium via CrewAI+CrewAI+ product | Basic OTEL hookscommunity |
| Maintainer momentum | ActiveLangChain team core priority | Activeactive development | MaintenanceMicrosoft → Agent Framework |
Frequently Asked Questions
Can I use LangGraph for free?
Yes, LangGraph is open-source under MIT license and free to self-host. LangGraph Cloud may have separate pricing.
Does CrewAI offer a free tier?
CrewAI has an open-source framework, but the enterprise features require contacting sales for pricing.
Which tool has better human-in-the-loop support?
Both support human-in-the-loop. LangGraph has built-in checks for steering actions; CrewAI offers task guardrails and approval in its paid tier.
Can I integrate with any LLM?
LangGraph integrates with any LLM provider via API. CrewAI integrates with multiple LLMs but may be more opinionated.
Which is better for multi-agent systems?
Both support multi-agent architectures. LangGraph offers low-level control; CrewAI provides higher-level orchestration with visual tools.
Does CrewAI have a no-code editor?
Yes, CrewAI's Studio provides a visual editor with an AI copilot for no-code agent building.
Can LangGraph be used in production?
Yes, LangGraph is designed for production with persistent memory, streaming, and LangSmith observability.
Which tool is more suitable for enterprises?
CrewAI is built for enterprises with RBAC, governance, integrated tools, and on-premises deployment options.
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