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Architecture and Beyond
Architecture and Beyond
Oct 12, 2025 · Artificial Intelligence

How Do AI Agents Know When to Stop? Strategies and Real-World Implementations

This article explores the essential stop‑condition designs for AI agents, detailing hard limits, task‑completion checks, explicit termination tools, loop detection, error accumulation, and user interruption, and then examines concrete implementations in OpenManus and Gemini CLI with code examples and multi‑layer safeguards.

AI AgentGemini CLILLM
0 likes · 17 min read
How Do AI Agents Know When to Stop? Strategies and Real-World Implementations
AI Cyberspace
AI Cyberspace
Oct 4, 2025 · Artificial Intelligence

Exploring OpenManus: A Deep Dive into an Open‑Source AI Agent Framework

This article provides a comprehensive overview of OpenManus, an open‑source, general‑purpose AI agent framework, covering its installation, configuration, core architecture—including BaseAgent, ReActAgent, ToolCallAgent, and Manus—its extensive tool collection, execution logs, and detailed code analysis for developers and AI researchers.

AI AgentOpenManusPython
0 likes · 74 min read
Exploring OpenManus: A Deep Dive into an Open‑Source AI Agent Framework
Network Intelligence Research Center (NIRC)
Network Intelligence Research Center (NIRC)
Jun 25, 2025 · Artificial Intelligence

Hands‑On Review of OpenManus: An Open‑Source AI Agent Framework

The article provides a detailed walkthrough of OpenManus, an open‑source AI agent framework built with Python 3.12, covering its modular architecture, agent and tool hierarchies, a step‑by‑step usage example for generating a Beijing travel plan, and a deployment guide on Alibaba Cloud.

AI agentsAlibaba Cloud deploymentLLM integration
0 likes · 10 min read
Hands‑On Review of OpenManus: An Open‑Source AI Agent Framework
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 25, 2025 · Artificial Intelligence

Unlocking AI Agents: Theory, Design Patterns, and Hands‑On Experiments

This article combines theoretical analysis and practical case studies to systematically explore the core components, design patterns, and future directions of AI agents, detailing the implementation of OpenManus, custom memory and planning modules, experimental evaluations, and insights for improving agent reliability and scalability.

AI AgentLLMMemory
0 likes · 31 min read
Unlocking AI Agents: Theory, Design Patterns, and Hands‑On Experiments
DeWu Technology
DeWu Technology
Mar 24, 2025 · Artificial Intelligence

Understanding Multi‑Agent AI Systems: ReAct Architecture, MCP Protocol, and OpenManus Implementation

Understanding multi‑agent AI systems, this article explains how ReAct’s tightly coupled reasoning‑action loop, the Model Context Protocol, and the open‑source OpenManus implementation enable autonomous task planning, tool invocation, and memory management, contrasting traditional chatbots with delivery‑centered agents while highlighting current limitations and future optimization needs.

AI agentsMCPOpenManus
0 likes · 24 min read
Understanding Multi‑Agent AI Systems: ReAct Architecture, MCP Protocol, and OpenManus Implementation
Alibaba Cloud Developer
Alibaba Cloud Developer
Mar 20, 2025 · Artificial Intelligence

Unpacking Manus AI Agent: Architecture, Prompt Design, and a Simple DIY Clone

This article provides a comprehensive analysis of Manus, the world’s first general‑purpose AI agent, covering its product and technical design, task planning and execution workflow, prompt engineering, open‑source OpenManus implementation, a step‑by‑step replication example, and the potential business impact of such autonomous agents.

Autonomous AIOpenManus
0 likes · 29 min read
Unpacking Manus AI Agent: Architecture, Prompt Design, and a Simple DIY Clone
Infra Learning Club
Infra Learning Club
Mar 17, 2025 · Artificial Intelligence

Testing OpenManus with DeepSeek: A Hands‑On Evaluation

The author walks through installing OpenManus, configuring it to use DeepSeek (and an Ollama‑based vision model), runs a sample financial data query, and reports that the system is slow, sometimes inaccurate, and still requires further optimization.

AI agentsCondaDeepSeek
0 likes · 5 min read
Testing OpenManus with DeepSeek: A Hands‑On Evaluation
Architect
Architect
Mar 11, 2025 · Artificial Intelligence

OpenManus: Design, Architecture, and Future Directions of a Multi‑Agent System

OpenManus is an open‑source, plug‑in‑friendly multi‑agent framework that combines planning, tool‑driven ReAct agents, dynamic task allocation, and memory management, detailing its design principles, code structure, workflow, technical components, and future research directions within the AI agent ecosystem.

AI PlanningAgent ArchitectureOpenManus
0 likes · 18 min read
OpenManus: Design, Architecture, and Future Directions of a Multi‑Agent System
Architecture and Beyond
Architecture and Beyond
Mar 9, 2025 · Artificial Intelligence

Evolution of AI Interaction Paradigms: From Function Calling to MCP and AI Agents

The article examines the rapid rise of AI agents like Manus and OpenManus, explains the limitations of cloud‑only models, details the Function Calling mechanism and its pros and cons, introduces the Model Context Protocol (MCP) as a more powerful evolution, and finally describes how AI Agents combine planning, dynamic tool use, memory, and autonomous decision‑making to achieve fully closed‑loop intelligent automation.

AI AgentAI automationAI interaction
0 likes · 20 min read
Evolution of AI Interaction Paradigms: From Function Calling to MCP and AI Agents