#Agentic Loop
479 related articles
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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Deep Dives·4 min
From Copilot to Agentic AI: A Complete Guide to Multi-Agent Collaboration Architectures
Deep dive into AI's four-stage evolution from Chat to Agentic AI, covering multi-Agent architectures, ReAct framework, and MCP protocol for developers.
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Tutorials·4 min
Complete Guide to Agentic RAG: Principles, Architecture, and Hands-On Implementation
Deep dive into Agentic RAG principles and implementation. Compare traditional RAG limitations, learn tool-based retrieval with ReAct Agent loops, with LangChain/LangGraph code examples.
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Tutorials·4 min
Agentic RAG Practical Guide: The Complete Evolution from Traditional RAG to Agent-Based Retrieval
Deep dive into Agentic RAG vs traditional RAG, with ChatPDF case study and LangChain code walkthrough covering tool design, multi-turn iteration, and autonomous decision-making for LLM engineers.
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Product Reviews·3 min
How to Choose an AI Agent Framework in 2026? Pros and Cons of Four Leading Solutions
Compare four leading AI Agent frameworks in 2026: Coze, AutoGen, CrewAI, LangChain, and AutoGen Studio — covering coding requirements, private deployment, and commercialization.
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Deep Dives·4 min
The Complete Guide to Agentic RAG: Principles and Code Implementation
Deep dive into Agentic RAG vs traditional RAG, covering tool calling, multi-step iteration, query rewriting, with LangChain and LangGraph code examples for building intelligent retrieval systems.
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Tutorials·4 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation Guide
Compare traditional RAG vs Agentic RAG architectures, explore planning, tool use, and multi-step iteration capabilities, with full LangChain/LangGraph ReAct Agent code and ChatBoss project examples.
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Tutorials·3 min
Agentic RAG in Practice: Architecture Deep Dive and LangChain Implementation
Deep dive into Agentic RAG vs traditional RAG, covering planning, tool calling, and multi-step iteration capabilities with complete LangChain and LangGraph code implementation.
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Expert Opinions·3 min
The Blurring Line Between Vibe Coding and Agentic Engineering: Simon Willison's Deep Reflection
Django co-creator Simon Willison finds Vibe Coding and Agentic Engineering converging in practice. As AI tools grow reliable, where should engineers draw the line on trust and responsibility?
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Tech Frontiers·2 min
DeadEnd-CLI: Open-Source AI Penetration Testing Tool Achieves 81% Pass Rate on Black-Box Benchmark
DeadEnd-CLI is an open-source AI agentic penetration testing tool achieving 81% full black-box pass rate on the XBOW benchmark using KIMI K2.5, with multi-model support and self-hosted deployment.
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Product Reviews·3 min
Agentica Open-Source Framework Review: A Lightweight Async AI Agent Development Alternative
In-depth review of Agentica, an open-source AI Agent framework featuring async-first architecture, tool calling, RAG, multi-agent collaboration, and MCP protocol support, with comparisons to LangChain and other mainstream frameworks.
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Tutorials·3 min
Agentic Flow: A Guide to Low-Cost Model Switching in Claude Code and Production Agent Deployment
Deep dive into Agentic Flow, an open-source project enabling flexible low-cost model switching in Claude Code and one-click Agent deployment to cloud production environments.
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Deep Dives·2 min
Claude-Claw Open Source Project Analysis: The Brain + Hands AI Agent Orchestration Architecture
Deep analysis of the Claude-Claw open-source project: how it combines Claude Code reasoning with OpenClaw GUI automation to build a brain + hands AI Agent orchestration architecture for autonomous computer control.
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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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Deep Dives·3 min
Open Computer Use: An Open-Source Framework for AI Agents to Autonomously Control Computers
Open Computer Use is an open-source TypeScript AI agent framework enabling automated computer control via browser, terminal, and desktop. Learn about its features, architecture, and comparison with Claude Computer Use.
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Product Reviews·3 min
CowAgent Open-Source AI Agent Deep Dive: The Super Intelligent Assistant with 44K GitHub Stars
A deep dive into CowAgent, the 44K-star open-source AI Agent on GitHub. Supports WeChat, WeCom, Feishu, and more, with DeepSeek, GPT-4o, Claude compatibility and full Agent capabilities.
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Product Reviews·3 min
Refly Open-Source Agent Skills Builder: A New Paradigm for Cross-Platform AI Skill Development
Deep dive into Refly, an open-source Agent Skills Builder featuring Vibe Workflow visual skill definition, cross-platform execution on Claude Code/Cursor, and a new "skills as infrastructure" paradigm for AI Agent development.
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Product Reviews·2 min
LobeHub Deep Dive: The Multi-Agent Collaboration Platform with 75K GitHub Stars
A deep dive into LobeHub, the open-source multi-agent collaboration platform with 75K+ GitHub stars. Explore its Find, Build, and Collaborate capabilities built on TypeScript.
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Tutorials·3 min
Codex CLI /goal Command Explained: AI Auto-Loops Until Your Goal Is Complete
OpenAI Codex CLI 0.128.0 adds the /goal command for auto-looping task execution until goals are met. Learn about Ralph Loop pattern, token budgets, and autonomous coding agents.
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