- 主頁 /
- 書 /
- Computing & Internet /
- Programming /
- Introduction to Programming /
- Design Multi-Agent AI Systems Using MCP and A...
0 ratings
物品 #:
242970796
Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows
88% of respondents would recommend this to a friend
物品 #:
242970796
HKD 587
Price Details
Excluding Shipping & Custom charges ( Shipping and custom charges will be calculated on checkout )
*All items will import from 英國
0 ratings
轉寫評價
有存貨
從UK商店導入
QTY:
現在訂購，約可在下列時間收貨： 星期四, 九月 24
Secured transaction
Ubuy works hard to protect your security and privacy. Our advanced payment security system ensures confidentiality by encrypting your information during transmission using AES (Advanced Encryption Standards) and SSL (Secure Socket Layer) protocols. Your payment details are 100% secure as we do not share your payment details with third party sellers.
Our Top Logistics Partners
Engineer your own Python-based agentic AI framework with tool use memory and multi-agent workflows.
Fast
Shipping
Free
Return*
Secure Packaging
100% Original Products
PCI DSS Compliance
ISO 27001 Certified
What Stands Out
Customizable Framework
Build tailored multi-agent AI systems using a Python-based framework that allows for extensive customization and flexibility, addressing specific project requirements efficiently.
Tool Utilization
Incorporate advanced tool use capabilities that enhance agent functionality, enabling complex tasks and interactions that set this framework apart from traditional AI systems.
Memory Integration
Utilize integrated memory systems that improve learning and decision-making for agents, ensuring more intelligent and responsive interactions across collaborative multi-agent environments.
產品詳情
| Publisher | Packt Publishing |
| Publication date | 27 Feb. 2026 |
| Language | English |
| Print length | 536 pages |
| ISBN-10 | 1806116472 |
| ISBN-13 | 978-1806116478 |
| Item weight | 912 g |
| Dimensions | 19.05 x 3.07 x 23.5 cm |
Who Should Buy?
-
AI Developers
Developers looking to create complex multi-agent systems in Python will find this framework extremely beneficial and efficient.
-
Research Scientists
Researchers studying distributed systems or multi-agent collaboration will gain significant insights and practical tools from this product.
-
Students in AI
Students aiming to learn about multi-agent AI systems can engage deeply with the practical applications and coding exercises.
-
Beginners in Programming
Complete beginners might struggle with the complexity and technical requirements needed to effectively utilize this AI framework.
產品敘述
Design Multi-Agent AI Systems Using MCP and A2A: Engineer your own Python-based agentic AI framework with tool use, memory, and multi-agent workflows
有疑問？ 與我們聊天
客戶問題與解答
-
題:
如何從 Ubuy 在線購物 Design Multi-Agent AI Systems Using MCP and A2A:？
回答: 從 Ubuy 在線購物 Design Multi-Agent AI Systems Using MCP and A2A: 非常簡單。. 您只需搜索產品，在結賬時選擇運輸方式，然後將其運送到您所在的位置。 -
題:
Design Multi-Agent AI Systems Using MCP and A2A: 可以在 Hong Kong 在線購物嗎？
回答: 是的，您可以在 Ubuy Hong Kong 以合理的價格購買該產品。. Design Multi-Agent AI Systems Using MCP and A2A: 在本地不可用，但您可以信任我們的快遞服務。 -
題:
下訂單後需要多長時間才能收到產品？
回答: 您訂購的產品的交貨時間根據您訂購的商品和您選擇的運輸方式而有所不同。. 結賬時會提到預計送貨時間，所以購物時請放心。
Introduction to Programming Editorial Review
Design Multi-Agent AI Systems Using MCP And A2A is a comprehensive guide for engineering your own Python-based agentic AI framework that incorporates tool use, memory, and multi-agent workflows. Published by Packt Publishing, this book delves into the intricacies of constructing robust multi-agent systems. With a substantial print length of 536 pages, it offers detailed insights and practices for both beginners and seasoned developers. Readers will appreciate the structured approach, allowing easy navigation through topics relevant to multi-agent frameworks. Its clear language ensures that complex concepts are accessible, making it a valuable resource for anyone interested in artificial intelligence.
Customer Reviews & Ratings
1 客戶評分
-
5 星
0%
-
4 星
100%
-
3 星
0%
-
2 星
0%
-
1 星
0%
評價此產品
與其他客戶分享您的想法
優點
- In-depth guide on multi-agent systems
- Detailed discussions on agentic frameworks
- Accessible for beginners and experienced developers
- Well-structured approach for easy navigation
- Includes practical examples and insights
缺點
- Publication date is in the future, 2026
Product Price History
重要資訊
- 限制：如跨國購買產品，請注意製造商的保固有可能無效；製造商服務選項可能無法使用；產品手冊、教學、以及安全警示可能不會是目的地國家的語言；產品（與附加材料）設計也許不會符合目的地國家的標準、規格、以及標示要求；且產品也許不會符合目的地國家的伏特數值與其他電力標準（需要使用合適的變壓器或轉接器）。收件者須負責確定該產品在目的地國家可合法進口。當在 Ubuy 或其聯盟夥伴網站上訂購時，收件者為記錄上的進口者，且必須遵從目的地國家的法律與規範。
- 由於 Ubuy 是一個全球搜尋引擎，並不是所有列於 Ubuy 的產品都有出售。產品須受出口／貿易法規規範。
HKD 587
現在訂購，約可在下列時間收貨： 星期四, 九月 24
This item is not restrict in my country.(Please click on above link if this item is not restrict in your country, So our team will review and allow.)
QTY:
Secured transaction
PCI DSS compliant and ISO 27001:2022 certified, with encrypted payments and full buyer protection on every order.
Our Top Logistics Partners
Fastest cross-border delivery
特色和優勢
- Build a production-ready multi-agent AI framework from scratch.
- Create Python-based AI agents without external orchestration tools.
- Design adaptive systems using A2A messaging for collaboration.
- Integrate memory and context with the Model Context Protocol (MCP).
- Gain hands-on experience with annotated code and practical deployment patterns.
- Ideal for AI engineers, ML practitioners, and technical leaders.
Ubuy Assurance
Experience worry-free shopping with 100% original products, PCI DSS-compliant payment security, ISO 27001-certified data protection, the fastest cross-border delivery, free returns *, and secure packaging on every order.