Agent Memory Engineering: Build Memory-Driven AI Agents with Claude Code, Obsidian, HTML Knowledge Bases, and Long-Term Context Systems
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Agentic Agent in Practice: An Engineering Guide Centered on Memory Systems
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Engineering LLM Powered AI Agents: Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination: 2 (Applied Large Language Model Engineering Series)
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Agent Memory Engineering: Build Memory-Driven AI Agents with Claude Code, Obsidian, HTML Knowledge Bases, and Long-Term Context Systems
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Context Engineering for AI Agents: Build Reliable AI Agents with Memory, RAG, Tool Calling, MCP, Multi-Agent Systems, and Production Workflows
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Stateful AI Engineering: Building Memory, Context, and Intelligent Agent Systems
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Cracking the AI Agent Interview: 220+ Questions: Architecture, Memory, Tools, Multi-Agent Systems, and Production Engineering
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Engineering LLM Powered AI Agents: Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination (Applied Large Language Model Engineering Series)
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Context Engineering for LLMs: A Practical Guide to Designing Smarter Prompts, Dynamic Memory, and Multi-Agent Workflows with LangChain, MCP, and RAG
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Building Autonomous AI Agents with Google ADK: Design Intelligent Multi-Agent Systems with Vertex AI, PaLM, Memory, and Tool Calling
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Context Engineering for LLMs: A Practical Guide to Designing Smarter Prompts, Dynamic Memory, and Multi-Agent Workflows with LangChain, MCP, and RAG
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Multi-Agent AI Systems in Practice: A Practical Guide to Engineering Your Own Python-Based Agentic AI Framework with Tool Use, Memory, and Multi-Agent Workflows
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Advanced Context Engineering for Multi-Agent AI: Design Intelligent Agents with Structured Prompts, Memory Control, and Coordinated Workflows
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AutoGen User Guide: A Practical Step-by-Step Manual to Build, Deploy, and Scale Intelligent Multi-Agent AI Applications with Prompt Engineering, Tool ... Memory Management, and Workflow Automation .
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Cracking the AI Agent Interview: 220+ Questions: Architecture, Memory, Tools, Multi-Agent Systems, and Production Engineering
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Agent Memory Made Simple: The Complete Visual Guide to Memory for AI Agents (Super AI Engineering Series)
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Multi-Agent AI Systems in Practice: A Practical Guide to Engineering Your Own Python-Based Agentic AI Framework with Tool Use, Memory, and Multi-Agent Workflows
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Claude Managed Agents: Building Durable, Self-Operating AI Agents with Sessions, Memory, and Multi-Agent Orchestration
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AI Agent Design Patterns for Developers: Build Reliable Multi-Agent Systems with Tools, Memory, MCP, and Orchestration for Production-Ready AI Applications (Building AI Agents from Scratch 2026)
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Multi-Agent AI Architecture Patterns: Design Scalable Agent Ecosystems Using Orchestration, Memory, Rag, and Llmops
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Architecting Intelligent Agents in Azure : Building Agentic Systems with Python and the Microsoft Agent Framework
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Stateful AI Engineering: Building Memory, Context, and Intelligent Agent Systems
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Agent Memory Made Simple: The Complete Visual Guide to Memory for AI Agents (Super AI Engineering Series)
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Hermes Agent in Action: Build Autonomous AI Applications with Memory, MCP, Tool Calling, RAG, and Multi-Agent Workflows
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The Mathematical Memory of AI: Building Reliable RAG, Agent Memory and Semantic Search Systems with Embeddings, Vector Databases and Retrieval Pipelines
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AGENTIC AI DESIGN PATTERNS: Autonomous Agent Frameworks with AutoGPT, CrewAI, and LangGraph: Planning, Tool Use, Memory Architecture, and Multi-Agent Collaboration for Enterprise Workflows
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Practical Hermes Agent: Design, Build, and Deploy Intelligent AI Agents with Memory, MCP, Tool Calling, and Agent Orchestration
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AI Agent Design Patterns: A Practical Guide to Reliable LLM Workflows, RAG Systems, Tool Use, Memory, Planning, and Intelligent Automation
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Production Ai Agents Handbook: Design, Build, and Deploy Reliable Autonomous LLM Agents with Tool Use, Memory, Multi-Agent Orchestration, Evaluation, Guardrails, and Real-World Scaling Patterns
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