Cross-Language Agent Framework Performance Benchmarking: Google ADK Go vs Python Agent Ecosystems

The crisis

• Agent framework performance directly determines deployment cost and latency for AI systems in resource-constrained environments
• No standardized benchmark exists for comparing Go vs Python agent frameworks — practitioners make framework choices without empirical data
• Framework overhead is invisible in current tooling — organizations optimize LLM calls while ignoring the framework layer beneath them

About this research

As agent development frameworks proliferate across languages and providers, practitioners lack empirical data for comparing them under realistic conditions. This work establishes the first cross-language benchmark covering Google ADK Go, ADK Python, LangGraph, and OpenAI Agents SDK across five scenarios — from single-agent baseline to high-concurrency sustained load. The benchmark isolates framework overhead from LLM API time, enabling fair comparison of the coordination layer itself.

Key findings

• (In Progress)