#DAG engine
328 related articles
Tutorials·2 min
AI Agent Auto-Generates Test Cases in Practice: A Hands-On Guide with MCP Server and Dify
Learn AI agent architecture (LLM + workflow + knowledge base), compare tools like Dify and LangChain, and use MCP Server to auto-generate test cases.
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Tutorials·2 min
LangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
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Tutorials·2 min
AgentSpan in Practice: Building Persistent AI Agents in Python with Crash Recovery and Human Approval
Learn how AgentSpan enables AI Agent state persistence with crash recovery, human approval workflows, and seamless LangGraph integration. Full Python examples included.
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Product Reviews·2 min
Glutra: A Multi-Agent Collaborative Desktop App for Building Your AI One-Person Company
Glutra is an open-source multi-agent desktop app for batch creating AI employees, visual workflow orchestration, and real-time monitoring. Cross-platform support for building your AI one-person company.
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Product Reviews·1 min
GitHub Open Source Week Picks: 5 Practical Open Source Projects to Boost Your Productivity
5 curated GitHub open source projects: Post-its AI social media tool, FreeCAD 3D modeling, GoBlueprint Go scaffolding, Keystone full-stack framework, and HertzBeat monitoring system.
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Tutorials·2 min
5 Fatal AI Agent Failure Modes: A Practical Guide to Safe Architecture Design
Deep dive into 5 fatal AI Agent failure modes: infinite loops, tool hallucination, context explosion, error cascades, and permission escalation — with practical safety architecture solutions.
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Tutorials·2 min
Build Custom ComfyUI Nodes with AI from Scratch: A Complete Hands-On Tutorial
Learn how to create custom ComfyUI nodes with zero coding experience using AI tools like Claude and Gemini. Covers node structure, AI tool selection, and hands-on development.
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Tutorials·4 min
Langmanus Multi-Agent Framework Deep Dive: Architecture Principles and Agent Extension in Practice
Deep dive into Langmanus multi-agent framework architecture, explaining LangGraph orchestration with Coordinator, Planner, Supervisor and execution agents, plus a hands-on guide to adding custom agents.
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Product Reviews·5 min
Manus vs Google Deep Research vs Flowith: A Hands-On Comparison of AI Agents for Courseware Generation
Hands-on comparison of Manus, Google Deep Research, and Flowith generating Kafka courseware with the same prompt. Detailed scoring reveals which AI agent delivers the best results.
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Deep Dives·2 min
The MARVIS Project: A Complete Analysis of Embedded AI Agents Empowering Autonomous Space Exploration
Deep dive into how the MARVIS project deploys LLM agents on spacecraft, covering agent architecture, edge hardware token performance benchmarks, expert evaluations, and space AI benchmark planning.
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Deep Dives·3 min
AI Model Deployment Pipeline Friction: How TensorRT Systematically Eliminates Inference Optimization Bottlenecks
Deep dive into pipeline friction in AI model deployment from training to production, covering TensorRT automated optimization, ONNX export, and Triton Inference Server best practices.
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Product Reviews·4 min
Cube Studio Deep Dive: Tencent's Open-Source One-Stop MLOps Platform
Deep dive into Cube Studio, Tencent Music's open-source one-stop AI platform, covering architecture design, distributed training, large model fine-tuning and inference, and domestic chip adaptation.
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Industry Insights·4 min
AI Projects Command 2x the Rates While Traditional IT Struggles to Get Approved: The Real Freelance Market in 2024
In 2024, AI projects command day rates up to 4,000 RMB while traditional IT budgets shrink. A freelance developer's real experience reveals AI premiums, workflow orchestration differentiation, and B2B survival strategies.
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Tutorials·4 min
Anthropic's Official Agent Building Guide: A Complete Breakdown of Workflows vs. Agents
Deep dive into Anthropic's Building effective agents guide: workflow vs. agent distinctions, the technical selection pyramid, and framework pitfalls for building efficient LLM agents.
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Product Reviews·4 min
n8n vs Dify vs Coze vs OpenAI: In-Depth Comparison & Selection Guide for Four Major Agent Tools
In-depth comparison of n8n, Dify, Coze, and OpenAI across automation, RAG knowledge bases, and complex Agent tasks. Includes a selection guide to help you find the best AI workflow platform.
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Tech Frontiers·4 min
ApiFlow Challenge: AI Generates Automation Workflows from a Single Sentence — Submit Your Use Case to Win $100 Computing Credits
ApiFlow is an AI-native integration platform that generates automation workflows from a single sentence. The team is seeking 10 real-world scenarios — participate to win $100 computing credits and more.
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Tutorials·4 min
RAGFlow Deployment Tutorial: Complete Hands-On Guide from Docker Installation to Agent Workflows
Step-by-step RAGFlow deployment guide: Docker setup, DeepSeek model integration, knowledge base creation, document parsing, chat assistants, and Agent workflow orchestration with website embedding and API usage.
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Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
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Expert Opinions·3 min
From WeChat Codex to AI Agent Best Practices: A Developer's Pivot
After completing core WeChat-Codex integration, the Codex Bridge author validated three directions and pivoted to AI Agent best practices—sharing product thinking and methodology insights.
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Product Reviews·3 min
PaiAgent: A Lightweight AI Workflow Orchestration System Built with Vibe Coding
Deep dive into PaiAgent, a lightweight AI workflow orchestration system built with Spring AI and LangGraph4J. Explore its DAG engine design, differentiation from Dify/n8n, and Vibe Coding development insights.
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