GCP Agentic Chatbot with Long-Term Memory

GCPArchitecture
GCP Agentic Chatbot with Long-Term Memory — 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

Architecture prompt

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

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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

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Created by

March 14, 2026

Updated

May 17, 2026 at 4:36 AM

Type

architecture

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