#AI Agent
1115 related articles
Google Open-Sources Artemis: An AI Agent That Controls Any Android Phone Like a Human
Google open-sources Artemis, an AI agent that runs free on any Android device, reads screens visually like a human, achieves 99% on Android World benchmarks, and includes native MCP support for Cursor and other IDEs. Apache licensed for commercial use.
AI Agent Is Just a Loop: Building One with TypeScript and Zero Frameworks
AI Agent is fundamentally just a loop. Learn how to build a production-ready Agent with pure TypeScript, zero frameworks — covering tool calling, argument validation, step caps, and MCP integration.
Kimi Code Desktop: The AI Coding Agent That Builds Your Entire App While You Sleep
Moonshot AI launches Kimi Code Desktop, upgrading terminal coding Agents into a single-window workspace powered by the 2.8T-parameter K3 model with 1M-token context.
The Age of Autonomous Agents: Why Safety Guardrails Before Tool Access Are Non-Negotiable
In the age of autonomous AI agents, safety guardrails before tool access are no longer optional. Explore the risks of agent tool use and why secure-first is essential.
Testing Meta's New AI Agent Muse: I Let It Negotiate With My Money
Testing Meta's personal AI agent Muse: cloud-based execution, memory across sessions, confirms before spending, and negotiates with another AI agent. Full walkthrough.
Omni CTO in Practice: How Claude Code Is Reshaping Data Analysis Agents
Omni's CTO shares 18 months of lessons building data analysis agent "Blobby" with Claude — covering semantic layers, agentic loops, trace debugging, and SQL generation.
Inside OpenAI's Software Factory: AI Agents Across the Entire Development Pipeline
How OpenAI's Software Factory embeds AI Agents across coding, multi-agent review, risk-based auto-merging, and production monitoring — plus three hands-on demos.
10 Open-Source Tools That Stop AI Agents From Going Off the Rails
A breakdown of 10 open-source AI Agent tools — from Unreal Agent runtimes and JSON Render UI constraints to Bend's compiler-level proof enforcement — showing how engineering discipline stops agents from failing in production.
90% of Agents Fail at Launch: A Four-Layer Architecture Breakdown from Conversation to Execution
A real cross-border e-commerce case study breaks down the four-layer agent architecture — brain, tools, state, governance. Why 90% of teams fail at launch and how gating design determines production success.
AI Agents Find Business Ideas and Launch a Product: 20 Ideas in 38 Minutes, Landing Page Live in 2 Hours
A Bilibili creator used two AI Agents to run a one-person startup: 20 sourced business ideas in 38 minutes, agent debates, and a live landing page in 2 hours 10 minutes — with a 14-day, 150-visitor, 3% conversion deadline.
Agentboard: A Task Collaboration Framework That Lets AI Agents Work the Board Themselves
Agentboard is an open-source AI agent task collaboration framework using kanban + timeline + state machines to let AI agents autonomously pick up and complete tasks.
Beyond Single Prompts: What Real-World Problems Actually Deserve an AI Agent?
What problems truly warrant an AI Agent? Based on Reddit developer discussions, this article outlines six criteria for identifying Agent-worthy scenarios and covers practical use cases like DevOps, travel, and research.
Vercel AI SDK Workflow 2.0.60 Released: Fixes Tool Approval Resumption Bug
Vercel AI SDK releases @ai-sdk/workflow@2.0.60, fixing a bug where persisted tool denial results weren't reused during approval resumption in Human-in-the-loop workflows.
One Prompt + n8n: Building an Automated YouTube Topic Research Workflow
A YouTube creator built an AI topic research workflow with n8n and one precise prompt — acting as a strategist, finding trends, ranking ideas by click potential, and pushing results to Telegram in 22 seconds.
Why MCP Tool Descriptions Determine Whether AI Agents Pick the Right Tool
In MCP, LLMs rely solely on tool names and descriptions to decide which tool to call. Research shows most descriptions are poor quality, causing agents to pick wrong tools or stall entirely.
Building Your Own WhatsApp AI Agent with the API: A Practical MCP Guide
Learn how to build a custom WhatsApp AI agent using the Wassenger API and MCP server — covering message sending, webhooks, decision logic, and Anthropic/OpenAI integration.
MCP Parallel Web Search Agent: From SERP Rankings to AI Brand Mentions
When users ask AI directly, Google #1 isn't enough. Learn how an MCP-based parallel search Agent, typed JSON schemas, and a two-phase dry run turn brand mention rate into a measurable metric.
Hermes Agent Practical Guide: A Complete Walkthrough for AI Engineering
A practical guide to Hermes Agent covering architecture, setup, Feishu integration, MCP services, news bots, Python library use, automated blogging, and code review.
AI Agent in Action: Automatically Detecting SharePoint Oversharing and Removing Links
A YouTube creator tests an AI Agent's SharePoint permission audit capabilities: the Agent auto-detects oversharing, identifies non-member Dan's abnormal access, and removes the sharing link via conversational instruction.
Build Your First AI Agent with n8n (No Code): Memory & Tool Calling in Practice
Step-by-step guide to building your first AI Agent with n8n no-code platform: chat trigger, Google Gemini API key, memory module, and calculator tool calling.