#Plan-and-Execute Agent
119 related articles
Product Reviews·4 min
Manus Hands-On Review: One Prompt to Build a Snake Game — What AI Agents Can Really Do
Hands-on Manus AI Agent review: generate a playable Snake game and physics animation site with one prompt. Covers registration, how it differs from ChatGPT, cloud execution, and current limitations.
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Product Reviews·4 min
Manus Full Public Launch Review: Can an AI Agent Really Help Beginners Build a Social Media Business?
Manus AI Agent is now fully open. This hands-on review tests it through a complete social media startup scenario—from research to content production—revealing its real capabilities and limitations.
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Tutorials·4 min
2025 LLM Career Transition Roadmap: A Three-Phase Plan from Foundations → Frameworks → Real-World Projects
A systematic 2025 LLM career transition roadmap covering Python, Transformers, LangChain, LlamaIndex, RAG, Agent development, and fine-tuning across three phases achievable in 2-3 months.
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Product Reviews·3 min
BuildingAI Open Source Project Deep Dive: Building AI Apps Like Stacking Blocks
Deep dive into BuildingAI, an open source block-based AI app builder with 1600+ Stars. Explore its architecture, use cases, and how it compares to Dify and Coze.
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Deep Dives·4 min
The Four Stages of AI Agent Evolution: A Complete Guide from Copilot to Multi-Agent Collaboration
Deep dive into the four stages of AI Agent evolution: Chat, Copilot, Agent, and Agentic AI. Covers ReAct framework, Spring AI stack, and multi-Agent architecture design for 2025.
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Tutorials·3 min
Andrew Ng's 2025 New Course: Core Methodology and Best Practices for Building AI Agents
A deep dive into Andrew Ng's latest Deeplearning.AI course on AI Agents, covering Agentic AI use cases, disciplined development workflows, evaluation frameworks, and error analysis methodology.
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Tutorials·4 min
LangChain Agent in Practice: Building a Production-Grade AI Agent from Scratch
A comprehensive guide to building production-grade AI Agents with LangChain, covering architecture design, tools, memory systems, ReAct strategy, and enterprise deployment.
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Deep Dives·3 min
LangGraph Deep Dive: An Open-Source Framework for Building Resilient AI Agents
Deep dive into LangGraph's core architecture, StateGraph design, multi-Agent collaboration, and deployment. Learn how this 31K+ Star project helps build reliable AI Agents.
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Deep Dives·3 min
AI-Assistant Open Source Project Analysis: Building a Local AI Agent with the Anthropic API
Deep analysis of the open-source AI-Assistant project built on Anthropic Claude API for local AI Agents, covering architecture, use cases, security, and agentic AI trends.
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Tech Frontiers·3 min
workers-research: A Practical Guide to Building AI Deep Research Agents with Cloudflare Workers
A deep dive into how the open-source workers-research project combines Cloudflare Workers serverless architecture with Google Gemini 2.5 to build an automated deep research AI agent.
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Product Reviews·3 min
Deep Dive into CowAgent: What's Behind This 44,000-Star Open Source AI Assistant?
Deep dive into CowAgent, a GitHub project with nearly 44,000 stars. Explore its task planning, multi-platform integration, multi-model support, and how this LLM-powered AI assistant serves as both personal helper and enterprise digital employee.
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Product Reviews·4 min
RuoYi-AI Open Source Framework: A One-Stop Solution for Java Enterprise AI Application Development
A deep dive into RuoYi-AI, a Java-based enterprise AI development platform supporting multi-vendor LLM integration, RAG knowledge bases, and agent orchestration. 5,200+ Stars on GitHub.
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Product Reviews·3 min
GitHub 8,200-Star LLM Resource Hub: Covering the Full Pipeline from Training to Inference to Agents
Deep dive into the 8,200-star awesome-LLM-resources GitHub project covering the full LLM lifecycle: data processing, training, inference, Agents, multimodal, and more.
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Tech Frontiers·2 min
Codex CLI /goal Command Explained: AI Coding Agent Loops Automatically Until the Goal Is Done
Deep dive into Codex CLI 0.128.0's new /goal command: how prompt templates drive autonomous agent loops, token budget controls, and AI coding agents that work until the goal is done.
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Tutorials·3 min
GitHub 8K Stars: Deep Dive into the Most Comprehensive LLM Resource Repository
Deep analysis of the awesome-LLM-resources GitHub project (8200+ Stars), covering multimodal models, AI Agents, MCP protocol, model training & inference, and AI-assisted programming.
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Product Reviews·3 min
Deep Dive into CowAgent: A Practical Guide to the Open-Source AI Agent Framework with 44K GitHub Stars
Deep dive into CowAgent (formerly chatgpt-on-wechat), a 44K-star open-source AI Agent framework covering core Agent capabilities, multi-platform integration, multi-model support, and enterprise use cases.
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Product Reviews·3 min
8K Stars on GitHub: Deep Dive into the Most Comprehensive LLM Learning Resource Repository
Deep dive into the GitHub project awesome-LLM-resources (8200+ stars): a comprehensive guide covering multimodal AI, AI Agents, MCP protocol, model training, inference optimization, and small language models.
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Tutorials·5 min
Codex CLI /goal Command Explained: Autonomous Loop Execution Until Goal Completion
Codex CLI 0.128.0 adds the /goal command for goal-driven autonomous loop execution. This article analyzes its technical implementation, token budget mechanism, and practical use cases.
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