Overview

What if you could build intelligent agents that think, plan, and act on their own without relying on closed or paywalled AI platforms? Autonomous Agents with OpenManus shows how to create practical, self-directed AI systems using OpenManus, the new open-source framework for large language model (LLM) driven automation. This book introduces a complete foundation for building autonomous agents that go beyond simple chat responses to perform meaningful, repeatable tasks. Readers will learn how agents reason, use tools, manage memory, and collaborate to achieve complex goals efficiently and safely. Inside, you will find clear explanations and hands-on guidance through topics such as: The Evolution of AI - Why agents represent the next leap beyond prompt engineering. The Agentic Cycle - Understanding how memory, tools, and reasoning work together. Inside the Architecture - Exploring Agents, Tools, Flows, and Memory. Custom Tools and APIs - Connecting agents to your systems and data sources. Memory and Context Management - Combining short-term, long-term, and vector memory. Workflow Automation - Designing reliable multi-step reasoning and task flows. Case Studies - Building research, content automation, and enterprise agents. Ethics and Optimization - Ensuring safety, transparency, and performance. What makes this book different is its focus on real implementation rather than theory. Every chapter combines explanation with working configurations, reusable examples, and professional best practices. Whether you are a developer, researcher, or AI enthusiast, you will gain the knowledge to design, test, and deploy your own autonomous agents while maintaining control over your data and infrastructure. If you have ever asked how advanced AI systems actually plan and act or how to build your own intelligent automation framework, this book provides the answers. Start creating your own autonomous AI systems today.

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