Context Engineering for Modern AI: Strategies for Precision Prompting, Memory Management, and Reliable Agent Workflows
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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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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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Engineering LLM Powered AI Agents: Designing Tool Using, Reasoning Driven Systems with Memory and Multi-Agent Coordination (Applied Large Language Model Engineering Series)
£24.11
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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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LLM Agent Engineering Handbook: Orchestration, Memory and Tool Use for Production Systems - Real Benchmarks, Python Code and Complete Code Repository for Engineers at Scale
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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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Architecting AI Agent Systems: Foundations, Memory, Patterns, Protocols, and Frameworks (From LLMs to Agent Ecosystems)
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Stateful AI Engineering: Building Memory, Context, and Intelligent Agent Systems
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AI Agent Engineering with Python: Build Intelligent Autonomous Systems with LangChain CrewAI, Memory Architectures, Multi-Agent Workflows, Tool Integration, and Real-World Automation
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Stateful AI Engineering: Building Memory, Context, and Intelligent Agent Systems
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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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Multi-Agent AI Architecture Patterns: Design Scalable Agent Ecosystems Using Orchestration, Memory, Rag, and Llmops
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Building Autonomous AI Agents with Google ADK: Design Intelligent Multi-Agent Systems with Vertex AI, PaLM, Memory, and Tool Calling
£15.00
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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
£40.00
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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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The Mathematical Memory of AI: Building Reliable RAG, Agent Memory and Semantic Search Systems with Embeddings, Vector Databases and Retrieval Pipelines
£28.81
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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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AI Agent Memory Architecture: he Cognitive Science Blueprint for Building LLMs That Remember
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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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Claude Managed Agents: Building Durable, Self-Operating AI Agents with Sessions, Memory, and Multi-Agent Orchestration
£15.11
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Designing Reliable LLM Systems: A Practical Framework for Prompt Architecture, Retrieval, Memory, and Agent Workflows LangChain, MCP
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The AI Agent Attacker's Playbook: Tool Abuse, Memory Exploits, and Takeover Techniques (The AI Security & Hacking Bible: Protect and Exploit LLMs and Autonomous Agents)
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