One Prompt, 100 Parallel Agents: How Google's Agent Graphs Coordinates Multi-Agent Work
goyalshaliniuk · x · 2026-09-17
A breakdown of Google's Agent Graphs pattern: instead of a single chatbot, one prompt gets decomposed into subtasks run by 100 AI agents in parallel, with outputs stitched into a larger result.
- The evolution path: Prompts → Agents → Loops → Graphs, with the graph orchestrating everything
- Each agent can run a different model (GPT, Claude, DeepSeek, or local open-source), making the model a swappable component
- The developer's core question shifts from "which model" to "how to design the system" — workflow design matters as much as the model
- Key concepts: agent orchestration, graph-based workflows, parallel execution, tool calling, feedback loops, multi-agent systems
Related event: Google's Agent Graphs: One Prompt, 100 Parallel Agents(4 posts)→
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