CrewAI vs AutoGen
For a new project, choose CrewAI or AutoGen's successor, Microsoft Agent Framework. AutoGen gets no new features.
Microsoft Agent Framework vs AutoGen · Successor vs maintenance mode
Quick answer
Microsoft Agent Framework is the direct successor to AutoGen, built by the same team, generally available and actively released. AutoGen is in maintenance mode with no new features. Start new projects on Agent Framework, and migrate existing AutoGen code using Microsoft's migration guide when it suits your roadmap.
This is less a comparison than a migration decision. AutoGen's repository says it is in maintenance mode, community managed, and that new users should start with Microsoft Agent Framework. Agent Framework (MAF) is generally available with python-1.17.0 released on September 3, 2026 and dotnet-1.20.0 on August 31, 2026.
Microsoft's migration guide is unusually direct about the differences, and they are worth knowing before you estimate the work.
| Spec | Microsoft Agent Framework | AutoGen |
|---|---|---|
| Status | GA, active releases | Maintenance mode, community managed |
| Orchestration style | Typed, graph-based Workflow; data-flow routing along edges | Event-driven core with high-level Team; control-flow, messages broadcast to all agents |
| Built-in patterns | Sequential, Concurrent, Handoff, Group Chat, Magentic | Two-agent chat, group chat teams |
| Agent default | Multi-turn, keeps invoking tools until it can answer | AssistantAgent single-turn unless max_tool_iterations is raised |
| State | Stateless agent with explicit AgentSession | Agent keeps conversation history in its state |
| Checkpointing | Built in (executor state, shared state, message queues, position) | Not built in |
| Human input | ctx.request_info() with response handlers | Team runs continuously; no built-in pause |
| MCP | Stdio, streamable HTTP and WebSocket tools | Basic, through extensions |
| Hosted tools | Code interpreter, web search | Not available |
| Languages | Python, .NET (GA); Go (preview) | Python (primary), .NET |
| License | MIT | MIT (code), CC-BY-4.0 (docs) |
The biggest change is the orchestration model. AutoGen teams pass control from agent to agent and broadcast messages to everyone in the team. MAF workflows route data along specific edges and activate executors when their inputs are ready, which allows concurrency and targeted routing. AutoGen's group chat has a close equivalent in MAF's Group Chat orchestration, and Magentic covers manager-led coordination.
The practical wins are checkpointing and human input. MAF can save a workflow's position and pending messages and resume later, and any executor can request information from a person. In AutoGen both had to be built outside the framework.
During a migration you will likely run both for a while. If agents from the old AutoGen system, the new MAF workflows and other frameworks need to cooperate in the meantime, BAND connects agents across frameworks in shared rooms with people involved. Neither AutoGen nor MAF is named on BAND's integrations page; BAND lists Azure AI Foundry and Copilot Studio, and supports A2A, MCP and a Python SDK. Confirm the route in BAND's docs.
| Plan | Price | What you get |
|---|---|---|
| Microsoft Agent Framework | Free | MIT; Foundry and model usage billed by Azure |
| AutoGen | Free | MIT; community maintained |
Prices from vendor pages, September 2026
For new features, support and checkpointing, yes. Microsoft publishes a migration guide mapping AutoGen concepts to Agent Framework.
Microsoft describes Agent Framework as the direct successor to both AutoGen and Semantic Kernel and provides migration guides for each.
Yes. It is community managed and will not receive new features or enhancements.
An Agent Framework orchestration in which a manager agent dynamically coordinates specialised agents.
Reviewed Sep 2026
For a new project, choose CrewAI or AutoGen's successor, Microsoft Agent Framework. AutoGen gets no new features.
Agent Framework builds .NET and Python agents on Azure. BAND connects them with agents from other clouds and with people.
LangGraph for control, CrewAI for speed. If you end up with both, BAND lets them collaborate.