10xGraph vs LangGraph, CrewAI, AutoGen: Compared

These pages compare 10xGraph with other Python agent frameworks, written by the 10xGraph team. Every claim about a competitor links to its official documentation or package metadata, and each page lists its sources with the date they were checked (2026-10-06). Each page also says where the other framework is the better choice, and where 10xGraph is weaker.

Pick a comparison

• 10xGraph vs LangGraph. Graph runtimes compared on the production layer
• 10xGraph vs CrewAI. Role-based crews vs typed graphs
• 10xGraph vs AutoGen. AutoGen (now in maintenance mode) vs 10xGraph
• 10xGraph vs LlamaIndex Agents. Retrieval-first agents vs a runtime-first server
• 10xGraph vs Google ADK. Google’s Agent Development Kit vs 10xGraph

What the comparisons focus on

Most agent frameworks give you a graph or a crew. The comparisons start with what happens after that, because it is where the frameworks differ most. 10xGraph generates, in the open-source install under the MIT license:

• A production server. REST, SSE, WebSocket and realtime-audio endpoints from the compiled graph, with JWT or custom auth, role scopes and owner-only threads
• Rate limits and deploy files. Memory or Redis rate limiting, and 10xgraph build --docker-compose --k8s for Docker Compose and Kubernetes manifests
• Correct behavior under failure. Replay-safe tool calls, versioned (compare-and-swap) state writes, and node and tool timeouts
• A typed TypeScript client. 10xgraph-client for invoking and streaming from any frontend

Table stakes such as graph orchestration, multi-provider models, MCP, streaming and checkpointing are listed at the bottom of each table, because the frameworks here have them too.

Where to start

If you are migrating, start with Get started. Each comparison page has a migration section that maps the other framework’s concepts to 10xGraph.