- What it is
- CrewAI: Role-based multi-agent framework (Crews) plus event-driven workflows (Flows)
- LangGraph: Low-level orchestration framework for stateful agents
- AutoGen: Microsoft's multi-agent framework for Python and .NET
- Maintained by
- CrewAI: CrewAI Inc.
- LangGraph: LangChain
- AutoGen: Community-managed; Microsoft has moved to Agent Framework
- Status in 2026
- CrewAI: Active
- LangGraph: Active
- AutoGen: Maintenance mode: no new features or enhancements
- License
- CrewAI: MIT
- LangGraph: MIT
- AutoGen: MIT (docs CC-BY-4.0)
- GitHub stars (15 Oct 2026)
- CrewAI: 59.7k
- LangGraph: 43.3k
- AutoGen: 61.4k
- Style
- CrewAI: High-level abstractions plus low-level APIs
- LangGraph: Low-level graph orchestration; works without LangChain
- AutoGen: Conversational agents; AutoGen Studio is a no-code GUI
- Durability and human input
- CrewAI: Human-in-the-loop input on the hosted platform
- LangGraph: Built in: durable execution, human-in-the-loop, short- and long-term memory
- AutoGen: Successor adds checkpointing and human-in-the-loop
- Hosted platform
- CrewAI: Free Basic plan (50 workflow executions a month); Enterprise is custom-priced
- LangGraph: LangSmith: free Developer plan, Plus at $39 per seat per month, with deployments metered on top
- AutoGen: None; use Microsoft Agent Framework
- Enterprise features
- CrewAI: SSO, RBAC, VPC deployment on Enterprise
- LangGraph: Custom SSO, RBAC and ABAC, self-hosted or hybrid on LangSmith Enterprise
- AutoGen: Via Microsoft Agent Framework
- Start a new project on it?
- CrewAI: Yes
- LangGraph: Yes
- AutoGen: No: use Microsoft Agent Framework
| Feature | CrewAI | LangGraph | AutoGen |
| What it is | Role-based multi-agent framework (Crews) plus event-driven workflows (Flows) | Low-level orchestration framework for stateful agents | Microsoft's multi-agent framework for Python and .NET |
| Maintained by | CrewAI Inc. | LangChain | Community-managed; Microsoft has moved to Agent Framework |
| Status in 2026 | Active | Active | Maintenance mode: no new features or enhancements |
| License | MIT | MIT | MIT (docs CC-BY-4.0) |
| GitHub stars (15 Oct 2026) | 59.7k | 43.3k | 61.4k |
| Style | High-level abstractions plus low-level APIs | Low-level graph orchestration; works without LangChain | Conversational agents; AutoGen Studio is a no-code GUI |
| Durability and human input | Human-in-the-loop input on the hosted platform | Built in: durable execution, human-in-the-loop, short- and long-term memory | Successor adds checkpointing and human-in-the-loop |
| Hosted platform | Free Basic plan (50 workflow executions a month); Enterprise is custom-priced | LangSmith: free Developer plan, Plus at $39 per seat per month, with deployments metered on top | None; use Microsoft Agent Framework |
| Enterprise features | SSO, RBAC, VPC deployment on Enterprise | Custom SSO, RBAC and ABAC, self-hosted or hybrid on LangSmith Enterprise | Via Microsoft Agent Framework |
| Start a new project on it? | Yes | Yes | No: use Microsoft Agent Framework |
The landscape changed
A year ago, “CrewAI vs LangGraph vs AutoGen” was a three-way tie between active projects. Today it’s two active frameworks and one that has stepped aside.
- AutoGen is in maintenance mode. Its README says it will get no new features, and sends new projects to Microsoft Agent Framework, its enterprise-ready successor.
- LangGraph grew into a standalone orchestration framework and no longer requires LangChain.
- CrewAI now has two layers: Crews for role-based teams and Flows for event-driven control.
Two ways to think about agents
CrewAI asks you to describe a team: agents with roles and goals, tasks to complete, and a process that connects them. That structure is why it’s quick to get a first result.
LangGraph asks you to describe a graph: nodes that do work, edges that decide what happens next, and state that flows through it. You write more, but you control exactly when the agent loops, branches, pauses or resumes.
Production concerns
For real deployments, LangGraph’s headline features are the ones that matter: durable execution (an agent survives a failure and picks up where it stopped), human-in-the-loop inspection of state, and memory that persists across sessions.
CrewAI’s platform covers a lot of the same operational ground: tracing, OpenTelemetry, guardrails and human-in-the-loop input, plus a free visual editor on its Basic plan.
What about AutoGen users?
If you’re on AutoGen today, nothing breaks overnight, but it’s community-managed from here. You have two realistic paths:
- Migrate to Microsoft Agent Framework, which has an official AutoGen migration guide and supports Python and .NET.
- Move to CrewAI or LangGraph, if you’d rather leave the Microsoft stack. Expect a rewrite rather than a version bump, because the programming models differ.
The bottom line
- Fastest path to a working agent team: CrewAI.
- Most control, durability and observability for production: LangGraph, with LangSmith if you want a managed platform.
- .NET shops or existing Microsoft users: look at Microsoft Agent Framework rather than AutoGen.
- Existing AutoGen apps: keep running, and plan the move.
Also comparing coding tools? Read Cursor vs Windsurf vs GitHub Copilot.
How we compared
Facts about the frameworks come from their official GitHub repositories and pricing pages, checked on 15 October 2026 and listed below. We haven’t benchmarked them, and the advice here reflects what the projects say about themselves. Check the official pages before committing, and tell us if something has changed.