📖 Part 4 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 3Part 5 → Building on code generation from Part 3, we now enhance our agents with knowledge retrieval capabilities. ℹ️ INFO Traditional LLM agents rely solely […]
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Automated Code Generation with Microsoft AutoGen: Building AI-Powered Development Teams
📖 Part 3 of 6 | Microsoft AutoGen: Building Multi-Agent AI Systems 📚 Microsoft AutoGen Series Introduction Communication Patterns Code Generation RAG Integration Production Deployment Advanced Patterns ← Part 2Part 4 → Building on communication patterns from Part 2, we now apply them to automated code generation—one of the most powerful applications of multi-agent systems. […]
Read more →Agent Memory and State Management: Building Persistent AI Agents
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 […]
Read more →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 →Building Multi-Agent AI Systems with Microsoft AutoGen: A Comprehensive Introduction to Agentic Development
📖 Part 1 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 Next: Part 2 → 🎯 What You’ll Learn in This Series Part 1: AutoGen fundamentals, core concepts, and your first multi-agent system Part […]
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, […]
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