GCP Agentic Chatbot with Long-Term Memory

Agentic chatbot architecture with fast and reliable long-term memory on GCP. Features Cloud Run for the chatbot service, Vertex AI Gemini for reasoning, Firestore for conversation memory, Memorystore Redis for session cache, Cloud SQL for structured knowledge, and MCP Toolbox for tool orchestration.…

gcp · architecture diagram.

About This Architecture

Agentic chatbot architecture with fast and reliable long-term memory on GCP. Features Cloud Run for the chatbot service, Vertex AI Gemini for reasoning, Firestore for conversation memory, Memorystore Redis for session cache, Cloud SQL for structured knowledge, and MCP Toolbox for tool orchestration. Fork this diagram on Diagrams.so to customize the memory layers or add additional tool integrations for your agentic chatbot. Source: https://cloud.google.com/blog/topics/developers-practitioners

GCP Agentic Chatbot with Long-Term Memory

GCPCurated TemplateWeb App
0 views0 favoritesPublic

Created by

March 14, 2026

Updated

March 14, 2026 at 7:54 PM

Type

architecture

Need a custom architecture diagram?

Describe your architecture in plain English and get a production-ready Draw.io diagram in seconds. Works for AWS, Azure, GCP, Kubernetes, and more.

Generate with AI
GCP Agentic Chatbot with Long-Term Memory — Architecture Diagram | Diagrams.so