#Workflow Agent
4126 related articles
·2 min
No-Install Enterprise Agent: A New Approach to AI Workflow Automation and Core Capability Breakdown
A no-install AI Agent with hundreds of enterprise skills is emerging, enabling automatic multi-skill orchestration for complex workflows. Here's a deep breakdown of its three core advantages and key evaluation dimensions for enterprise adoption.
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·3 min
Hermes Agent Setup in Practice: Run a Complete AI Agent Workflow in 3 Minutes
Step-by-step guide to installing Hermes Agent: no sudo required, single-command deployment, supports Ollama, Anthropic, OpenRouter and more. Includes verification steps, key commands, and beginner tips.
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·2 min
MediaAgent: Building a Brain for ComfyUI in Rust to Fully Automate Workflows
MediaAgent is a Rust-based AI Agent system that gives ComfyUI a brain via PTCA loops and JSON-LD semantic workflows, enabling fully automated model selection, parameter tuning, and retries.
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·3 min
AI Agent vs. Automation Scripts: Goal-Driven vs. Fixed Workflows
AI Agents aren't advanced scripts. Scripts follow fixed instructions; Agents pursue goals, plan dynamically, call tools, and self-correct. A deep dive using Linux ops examples.
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·3 min
Dify + MCP in Practice: Build a Multi-Function AI Agent Workflow in Four Steps
Learn how to build a multi-function AI agent workflow using ModelScope MCP Plaza and Dify, featuring dietary recommendations, algorithm practice, news, and travel planning with zero coding.
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·2 min
Getting Started with Loop Engineering: Making AI Agents Run Workflows Autonomously
A deep dive into Loop Engineering: core concepts and hands-on setup including Codebase Harness, shared file systems, triggers, and Loop Contracts to make AI agents run autonomously.
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·2 min
n8n from Beginner to Expert: A Complete Guide to Building AI Agent Workflows with Zero Code
Complete guide to n8n's AI capabilities covering AI Agent, Chain nodes, and Tool nodes. Learn to build enterprise-grade AI workflows with zero code, from setup to RAG systems.
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·1 min
Swimlane: A Deep Dive into the Coding Agent Workflow CLI Tool Built on Sakana AI Fugu
An in-depth look at Swimlane, a TypeScript CLI tool designed for building coding agent workflows on Sakana AI Fugu, covering its architecture, harness framework, and orchestration capabilities.
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·3 min
Claude Code Workflow in Action: 68 Sub-Agents Working Concurrently
Hands-on test of Claude Code's Workflow mode with 68 concurrent sub-agents. Covers setup, write-review separation, real concurrency results, and token costs.
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·2 min
Claude Code Workflow in Practice: Hundreds of Agents Automatically Migrating PHP to Golang
Deep dive into Claude Code Workflow's multi-Agent auto-orchestration: a real-world PHP to Golang migration running 14 hours with 100+ Agents, covering planning, execution, and Token cost analysis.
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·2 min
Claude Code Dynamic Workflows Explained: How Multi-Agent Collaboration Is Changing AI Programming
Deep dive into Claude Code's Dynamic Workflows: how multi-agent parallel collaboration enables 750K-line code migrations, repo-wide bug hunts, and pre-launch red team validation.
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·3 min
Claude Code Dynamic Workflows: Orchestrating Hundreds of Sub-Agents Working in Parallel
Deep dive into Claude Code Dynamic Workflows: enable parallel sub-agent orchestration via three methods for multi-agent collaboration and automated pipelines.
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·2 min
Coze Agent in Practice: Building an AI Test Case Generation Workflow from Scratch
Learn how to build an AI test case generation agent on Coze, covering agent vs. LLM differences, workflow orchestration, model selection, and prompt engineering tips.
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·3 min
Hermes Agent Deployment Guide: Building a Mobile AI Coding Workflow with Telegram
Learn how to deploy Hermes Agent on a VPS with Telegram Bot integration for mobile AI coding. Covers Docker setup, GitHub integration, auto-deployment, and comparison with OpenClaw.
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·4 min
Claude Code Workflow in Practice: From Requirement Grilling to AFK Agent Auto-Coding
A detailed walkthrough of building real features with Claude Code: Grill Me requirement interrogation, auto-generated PRDs, AFK agent coding, and QA iteration loops with DDD and TDD strategies.
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·2 min
Replit's AI Loops Workflow Explained: Multi-Agent Collaboration Replaces Prompt Engineering
Deep dive into Replit's AI Loops workflow: how orchestrators, parallel agents, and Computer Use Verifiers build automated closed-loop systems through multi-agent collaboration.
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·1 min
Claude Fable 5 as a Computer Use Orchestrator Model: Excelling in Long-Running Agent Workflows
Anthropic launches Claude Fable 5 as a Computer Use orchestrator model for Pro and Max users, excelling in long-running agent workflows for automation tasks.
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·3 min
n8n from Beginner to Expert: A Complete Guide to Workflow Automation and AI Agent Development
A deep dive into n8n's workflow automation capabilities, covering its 500+ node ecosystem, AI Agent development, RAG system building, and practical tips for use in different regions.
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·3 min
n8n Workflow Platform: A Practical Guide to Automation Orchestration and AI Agent Development
A deep dive into n8n's open-source workflow automation platform, covering AI Agent, Chain nodes, Tool nodes, and a complete guide to building RAG knowledge base Q&A systems.
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·1 min
PySpur: A Deep Dive into the Open-Source Visual AI Agent Workflow Development Platform
An in-depth look at PySpur, the open-source visual AI Agent workflow platform, covering its core features, technical positioning, use cases, and comparisons with LangFlow and Dify.
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