Model Context Protocols for LLMs: Architecting Prompting, Memory, and Autonomy in Language Model Agents - Tapa blanda

Sinopsis

Unlock the Blueprint Behind Smarter AI Agents — Architect Prompting, Memory, and Autonomy Like a Pro

Are you building with large language models (LLMs) but struggling to maintain coherence across prompts, memory, and agent decisions? Discover the missing link between today's powerful LLMs and truly autonomous, context-aware AI agents.

“Model Context Protocols for LLMs” is your ultimate guide to designing and implementing scalable systems that inject memory, decision-making, and coordination logic into LLM-powered workflows. Whether you're a developer, researcher, or entrepreneur, this book gives you practical tools to move beyond static prompts and build intelligent, persistent, and agentic applications.

What You’ll Learn Inside:
• How to craft modular prompting architectures that • persist meaning across tasks
• Building memory layers with vector databases, semantic compression, and retrieval protocols
• Engineering multi-agent systems using frameworks like LangChain, AutoGen, CrewAI, and LangGraph
• Designing feedback loops, context routers, and dynamic autonomy layers
• Implementing trust, safety, personalization, and reflection into your agent designs
• Deploying your own MCP runtime stack using FastAPI, Redis, Faiss, and more

Built for Engineers, Designed for Scale
Skip the fluff and dive straight into flowcharts, tables, pseudo-code, and integration recipes. This book is packed with real-world use cases—from building customer support agents with long-term memory to domain-specific reasoning bots in law, finance, and healthcare.

Perfect For:
✔️ AI Developers and ML Engineers
✔️ LangChain / AutoGen Practitioners
✔️ Researchers and Builders in Autonomous Agents
✔️ Prompt Engineers and LLM Architects
✔️ Founders building AGI-aligned startups

Why This Book?
While most LLM books stop at prompt engineering, Model Context Protocols for LLMs takes you into the missing system design layer—contextual intelligence. This is where LLMs become truly useful, safe, and self-improving.

Join the builders shaping the next generation of agentic AI. This is not just a book—it’s your playbook for the era of intelligent autonomy.

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