Seven parts built the individual layers. This final part assembles them into a complete, deployable production system with a full reference architecture, infrastructure configuration, monitoring setup, cost model, and a decision framework for when to use each memory type.
Tag: PostgreSQL
AI Agents with Memory Part 6: Multi-Agent Memory Sharing – Shared Memory Spaces Across Agent Networks with Redis and PostgreSQL
Single-agent memory is only the beginning. Enterprise systems run fleets of specialised agents that need to share knowledge without duplicating work. This part builds a shared memory architecture using Redis for low-latency coordination and PostgreSQL for durable cross-agent event history in Python.
AI Agents with Memory Part 2: Episodic Memory – Storing and Retrieving Conversation History at Scale with PostgreSQL, pgvector, and Node.js
Episodic memory is what lets an agent remember what happened in past sessions. This part builds a complete production episodic memory system using PostgreSQL with pgvector, implementing hybrid time-based and semantic retrieval in Node.js so your agent never starts from zero again.
Sequelize with PostgreSQL in Node.js: Part 2 – Models and Migrations
Now that you have a solid foundation with Sequelize connected to PostgreSQL, it’s time to define your data models and understand how migrations work. Models
Sequelize with PostgreSQL in Node.js: Part 1 – Setup and Configuration
Building a robust backend requires more than just writing code. It requires a solid foundation where your application can seamlessly communicate with your database. In
How to Deploy Your Apps Using Azure Bicep
Learn how to deploy Node.js applications to Azure using Bicep and Azure Developer CLI (azd). This comprehensive guide covers everything from setup to production deployment with PostgreSQL, including practical code examples and troubleshooting tips.
