Building agents without memory is like building amnesiac assistants. After implementing persistent memory across 8+ agent systems, task completion improved by 60%. Here’s the complete guide to building agents that remember. Figure 1: Agent Memory Architecture Why Agent Memory Matters: The Cost of Amnesia Agents without memory face critical limitations: No context: Can’t remember previous […]
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Mastering Agent Communication Patterns in Microsoft AutoGen: From Two-Agent Chats to Complex Orchestration
📖 Part 2 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction to Agentic Development Agent Communication Patterns Automated Code Generation RAG Integration Production Deployment Advanced Patterns ← Previous: Part 1 Next: Part 3 → Building on the core concepts from Part 1, this article explores the communication patterns that […]
Read more →Real-Time Healthcare Data Pipelines: Kafka + FHIR for Clinical Decision Support
Build production-ready real-time clinical decision support systems using Apache Kafka and FHIR. Includes complete .NET/Python code, architecture patterns, and lessons from processing millions of healthcare events per day.
Read more →Why Kafka Became the Backbone of Modern Data Architecture: Lessons from Building Event-Driven Systems at Scale
When LinkedIn open-sourced Kafka in 2011, few predicted it would become the de facto standard for real-time data streaming. Fourteen years later, Kafka processes trillions of messages daily across organizations of every size, from startups to Fortune 500 companies. Having architected event-driven systems for over two decades, I’ve watched Kafka evolve from an interesting alternative […]
Read more →Agent Memory Patterns: Building Persistent Context for AI Agents
Introduction: Memory is what transforms a stateless LLM into a persistent, context-aware agent. Without memory, every interaction starts from scratch—the agent forgets previous conversations, learned preferences, and accumulated knowledge. But implementing memory for agents is more complex than simply storing chat history. You need short-term memory for the current task, long-term memory for persistent knowledge, […]
Read more →Agentic AI Explained: Building Autonomous Systems That Plan, Act, and Learn
Move beyond simple chat to autonomous AI agents. Understand ReAct, multi-agent architectures, memory systems, and what actually works in production today.
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