Cross-Language Agent Teams

Cross-language agent teams are multi-agent systems where specialized agents or services can be written in different languages and coordinated through explicit protocols.

Key points

  • Google's example connects a Python extraction agent and a Go validation agent through Agent2Agent while ADK orchestrates the pipeline [src-145].
  • The production lesson is that agent teams should not require every service to be rewritten in one stack [src-145].
  • Cross-language agent teams move agent design closer to normal enterprise software architecture: narrow responsibilities, explicit interfaces, and runtime separation.

Related entities

Related concepts

Source references

  • [src-145] Shubham Saboo and Eric Dong / Google Developers Blog – "Build Cross-Language Multi-Agent Team with Google's Agent Development Kit and A2A" (2026-06-22)

Robin Cartier perspective

This page is part of Robin Cartier's working AI knowledge graph: a practical research layer for production AI, recommendation systems, experimentation, GEO, and agentic web readiness.

The useful next step is to connect this concept back to applied product leadership and operating models.

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