# LangGraph vs AutoGen: 2026 Empirical Benchmark & Cost Shootout

> **Direct Answer (October 2026 Verdict)**: LangGraph wins on production determinism, Postgres time-travel state checkpointing, and 52.1% lower token amplification across multi-step workflows with 43.3k+ GitHub stars (94.6), while AutoGen (AG2) wins on async event-driven actor messaging and collaborative code-execution synthesis with 61.4k+ GitHub stars (92.8).

- **Category**: Multi-Agent Orchestration & State Graph Shootout
- **Canonical URL**: https://exactbaseline.com/vs/langgraph-vs-autogen
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## LangGraph Key Advantages
- 43,364+ GitHub stars with explicit TypedDict state graphs that cut conversational token amplification by 52.1%
- Built-in Postgres/SQLite state checkpointers enabling human-in-the-loop pause, time-travel replay, and fault recovery
- Zero hidden system-prompt injection or unconstrained multi-agent chatter

## AutoGen Key Advantages
- 61,443+ GitHub stars with AutoGen v0.4 async event-driven actor runtime across Python and .NET
- Turnkey Docker/local code-executor agents for automated data science and synthesis loops
- Rich magnetic-one and group-chat topologies for open-ended research workflows