Google Antigravity vs LangGraph

Which one should you pick? Here's the full breakdown.

Google Antigravity

A
8.0/10

Google's agent-first AI IDE -- deploys up to 5 autonomous coding agents in parallel on a VS Code fork

Powered by Gemini 3.1 Pro / Claude Opus 4.6 / GPT-OSS 120B (multi-model)

Our Pick

LangGraph

A
8.3/10

LangChain's graph-based framework for building stateful, controllable multi-agent and human-in-the-loop AI workflows

CategoryGoogle AntigravityLangGraph
Ease of Use8.06.0
Output Quality8.59.0
Value6.08.5
Features9.59.5
Overall8.08.3

Pricing Comparison

FeatureGoogle AntigravityLangGraph
Free TierYesYes
Starting Price$0$0

Which Should You Pick?

Pick Google Antigravity if...

  • ✓Easier to use (8 vs 6)

Developers working on large, multi-file projects who want to parallelize their workflow. If you regularly work on 3-5 tasks simultaneously (fix a bug, add a feature, write tests, refactor), Antigravity's multi-agent architecture is unmatched.

Visit Google Antigravity

Pick LangGraph if...

  • ✓Better value for money (8.5/10)

Developers building complex, stateful, or human-in-the-loop agent workflows where the logic is genuinely a graph -- loops, branches, approvals, retries. Also the right pick for teams already on LangChain who want serious production tracing and evaluation.

Visit LangGraph

Our Verdict

LangGraph edges out Google Antigravity with a 8.3 vs 8.0 overall score. Both are solid picks, but LangGraph has the advantage in output quality.