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AI Agent

615 articles · Page 2 of 7
Alibaba Cloud Native
Alibaba Cloud Native
May 31, 2026 · Cloud Native

Why Alibaba Cloud’s AI Agent Observability Platform Is the Enterprise‑Grade Choice for Full‑Stack Monitoring

The article analyzes the rapid growth of AI Agents, outlines the four core challenges of production‑grade agents—cost overruns, fault‑location inefficiency, security risks, and quality measurement—and presents Alibaba Cloud’s AI Agent Observability solution with a four‑layer architecture, end‑to‑end tracing, real‑time health dashboards, and Agentic Ops capabilities to address these issues.

AI AgentAgentic OpsCloud Monitoring
0 likes · 14 min read
Why Alibaba Cloud’s AI Agent Observability Platform Is the Enterprise‑Grade Choice for Full‑Stack Monitoring
SuanNi
SuanNi
May 30, 2026 · Artificial Intelligence

Step 3.7 Flash: High‑Efficiency Pro‑Level Agent Model with 400 TPS and Low Cost

Step 3.7 Flash is a 196B‑parameter, 11B‑activation multimodal agent model that delivers 400 TPS inference, superior code‑generation and cross‑framework stability, cost‑effective Advisor Mode, and strong vision and search performance, with extensive benchmark gains over its predecessor and competing models.

AI AgentAdvisor ModeMultimodal
0 likes · 12 min read
Step 3.7 Flash: High‑Efficiency Pro‑Level Agent Model with 400 TPS and Low Cost
Architect's Guide
Architect's Guide
May 30, 2026 · Artificial Intelligence

Deep Dive into Hermes Agent: Memory Architecture That Makes AI Smarter

Hermes Agent is an open‑source, self‑hosted AI agent framework that combines a layered persistent memory system, automatic skill generation, a unified tool registry, and multi‑platform messaging gateways, enabling agents to retain knowledge across sessions and continuously improve their capabilities.

AI AgentMemory ArchitectureTool Integration
0 likes · 58 min read
Deep Dive into Hermes Agent: Memory Architecture That Makes AI Smarter
ArcThink
ArcThink
May 30, 2026 · Operations

Why AI Should Never Write Directly to Main: A Worktree Isolation Workflow

The article explains how using Git worktrees creates isolated workspaces for parallel AI agents, preventing file conflicts, preserving task context, and enabling safe experiment deletion, while outlining a four‑layer process, practical commands, patterns, and limitations for reliable AI‑assisted development.

AI AgentGitWorktree
0 likes · 16 min read
Why AI Should Never Write Directly to Main: A Worktree Isolation Workflow
Old Zhang's AI Learning
Old Zhang's AI Learning
May 29, 2026 · Artificial Intelligence

How NVIDIA’s Polar Enables Any Agent Framework to Plug Into Reinforcement Learning

Integrating diverse AI agent harnesses into reinforcement‑learning pipelines is notoriously labor‑intensive, but NVIDIA’s new Polar system inserts an API‑proxy layer that treats any harness as a black box, enabling seamless rollout recording and trajectory reconstruction, as demonstrated by dramatic performance gains on a 4B model across multiple harnesses.

AI AgentAPI ProxyNVIDIA
0 likes · 10 min read
How NVIDIA’s Polar Enables Any Agent Framework to Plug Into Reinforcement Learning
AI Large-Model Wave and Transformation Guide
AI Large-Model Wave and Transformation Guide
May 29, 2026 · Big Data

How to Solve Data Governance + AI Agent Pitfalls: Agent Roles, NL2SQL Datasets, and Rule Templates Explained

The article analyzes why data‑governance projects still fail when combined with AI, presents a four‑layer NL2SQL architecture, details agent responsibilities, metadata‑governance methods, anomaly‑diagnosis and permission‑control flows, outlines dataset‑building stages, evaluation metrics, and provides a step‑by‑step rollout roadmap.

AI AgentAnomaly DetectionData Governance
0 likes · 21 min read
How to Solve Data Governance + AI Agent Pitfalls: Agent Roles, NL2SQL Datasets, and Rule Templates Explained
Old Zhang's AI Learning
Old Zhang's AI Learning
May 29, 2026 · Artificial Intelligence

How I Got an AI Agent to Open a Browser, Scrape Hugging Face Papers, and Auto‑Post to X

This article reviews LocoAgent, an open‑source AI‑powered social‑media agent that uses real Chrome sessions to fetch Hugging Face daily papers, process them with a lightweight model, and automatically post summaries to X via customizable workflows, detailing setup, execution, and observed results.

AI AgentHugging FaceSocial Media
0 likes · 8 min read
How I Got an AI Agent to Open a Browser, Scrape Hugging Face Papers, and Auto‑Post to X
LuTiao Programming
LuTiao Programming
May 28, 2026 · Backend Development

How a Master‑Child AI Agent Took Over a Spring Boot Project and Transformed the Development Team

After letting a Codex‑powered master‑child AI agent manage a multi‑module Spring Boot application, the author observed the system automatically scanning modules, inferring impact of a new refund feature, delegating tasks to specialized sub‑agents, and even fixing compile and runtime errors, revealing a shift from mere code completion to genuine engineering collaboration.

AI AgentJavaMicroservices
0 likes · 8 min read
How a Master‑Child AI Agent Took Over a Spring Boot Project and Transformed the Development Team
PaperAgent
PaperAgent
May 28, 2026 · Artificial Intelligence

How a Desktop AI Agent Turns My PC into a One‑Person Capability Hub

The author reviews the 商汤办公小浣熊桌面端 2.0 agent, showing how it moves beyond chat‑only assistants to directly manipulate local files, browsers, and enterprise tools, automating a weekly competitive‑analysis report and embodying the OPC (One Person Capability) concept.

AI AgentAutomationDesktop
0 likes · 10 min read
How a Desktop AI Agent Turns My PC into a One‑Person Capability Hub
IoT Full-Stack Technology
IoT Full-Stack Technology
May 28, 2026 · Artificial Intelligence

What Exactly Is an AI Agent? A Simple Guide vs. Regular Chatbots

An AI Agent combines a large language model with a clear goal, callable tools, and a multi‑step reasoning loop, enabling perception, planning, and action that go beyond simple chat by decomposing tasks, using external APIs, iterating on errors, and managing memory, while acknowledging its limitations.

AI AgentLarge Language ModelPerception-Planning-Action
0 likes · 7 min read
What Exactly Is an AI Agent? A Simple Guide vs. Regular Chatbots
ShiZhen AI
ShiZhen AI
May 28, 2026 · Artificial Intelligence

Beyond Prompt Tuning: How OpenAI Built a Production-Ready Tax Agent

OpenAI’s recent tax‑agent case shows that reliable AI agents require a closed‑loop workflow—trace logging, expert feedback, systematic evaluation, and Codex‑driven code improvements—rather than mere prompt tweaking, achieving up to 97 % draft accuracy across 7,000 filings.

AI AgentCodexFeedback Loop
0 likes · 6 min read
Beyond Prompt Tuning: How OpenAI Built a Production-Ready Tax Agent
Architect's Ambition
Architect's Ambition
May 26, 2026 · Artificial Intelligence

Choosing CLI vs MCP for Enterprise AI Agents: A Hybrid Approach Balancing Cost and Effectiveness

The article compares CLI and MCP as integration methods for enterprise AI agents, presents benchmark data showing CLI's lower cost and higher reliability, explains why MCP is needed for compliance and structured data, and recommends a "CLI‑first, MCP‑supplement" architecture with reusable Python or Java implementations across multiple AI tools.

AI AgentCLIEnterprise Integration
0 likes · 24 min read
Choosing CLI vs MCP for Enterprise AI Agents: A Hybrid Approach Balancing Cost and Effectiveness
James' Growth Diary
James' Growth Diary
May 26, 2026 · Artificial Intelligence

Curator Daemon: Managing the Birth, Aging, and Death of Hermes Agent Skills

The article dissects Hermes' Curator daemon—a lightweight forked agent that runs asynchronously after each dialogue to combat skill‑library entropy by identifying stale, redundant, or obsolete skills, applying a three‑state lifecycle, LLM‑driven merge decisions, provenance‑based archiving, and offering debugging tips.

AI AgentCuratorHermes
0 likes · 12 min read
Curator Daemon: Managing the Birth, Aging, and Death of Hermes Agent Skills
Machine Heart
Machine Heart
May 26, 2026 · Artificial Intelligence

Grok Survives xAI Shutdown with 1.5‑T V9‑Medium Model – Musk Announces

After xAI’s dissolution, Elon Musk revealed that the new Grok V9‑Medium model, a 1.5‑trillion‑parameter foundation model optimized for Blackwell GPUs and enriched with Cursor data, has completed training, will undergo fine‑tuning and reinforcement learning, and is slated for public release within weeks, while the older 0.5‑T model will be open‑sourced later this year.

AI AgentBlackwell GPUCursor data
0 likes · 6 min read
Grok Survives xAI Shutdown with 1.5‑T V9‑Medium Model – Musk Announces
ZhiKe AI
ZhiKe AI
May 26, 2026 · Artificial Intelligence

ChatGPT Only Answers, Agents Get Things Done: Understanding AI Digital Employees

The article explains that AI Agents combine LLMs, memory, planning, and tool access to act autonomously on tasks—unlike ChatGPT’s passive answering—while highlighting industry momentum in 2025 and the four core capabilities that make them true digital employees.

AI AgentAI toolsAutomation
0 likes · 8 min read
ChatGPT Only Answers, Agents Get Things Done: Understanding AI Digital Employees
Old Zhang's AI Learning
Old Zhang's AI Learning
May 25, 2026 · Product Management

Boost Feishu CLI with Claude Code: Create Diagrams and PPTs in One Command

The article shows how the open‑source Feishu CLI, now integrated with Claude Code, lets users generate editable whiteboard diagrams, mind maps, cheat‑sheets, UI mockups and PPT slides directly inside Feishu documents using simple commands, streamlining documentation and collaboration for product managers, architects and developers.

AI AgentClaude CodeFeishu CLI
0 likes · 9 min read
Boost Feishu CLI with Claude Code: Create Diagrams and PPTs in One Command
DataFunTalk
DataFunTalk
May 25, 2026 · Artificial Intelligence

From Checks to 10‑Second Zero‑Error: Baidu Shengsu Enables AI Core Business in Shenzhen Grid

The article describes how Baidu's AI platform Shengsu, using context and system engineering, transforms smart inspection robots in Shenzhen Power Grid to automatically detect, assess, and handle equipment defects within seconds, boosting accuracy to 99% and cutting manual effort by half, illustrating AI's move from edge assistance to core production.

AI AgentBaiduPower Grid
0 likes · 7 min read
From Checks to 10‑Second Zero‑Error: Baidu Shengsu Enables AI Core Business in Shenzhen Grid
AntTech
AntTech
May 25, 2026 · Artificial Intelligence

Ant Group and Five Universities Unveil Agent3σ: A Multi‑Layer AI Agent Security Evaluation Platform

As AI agents move from simple Q&A to tool use and real‑world actions, Ant Group and five leading universities launch the open‑source Agent3σ platform, offering a three‑tier, 7‑dimension risk framework and concrete metrics to assess agents' safety across static, simulated, and live environments.

AI AgentAgent3σMulti‑Layer Testing
0 likes · 9 min read
Ant Group and Five Universities Unveil Agent3σ: A Multi‑Layer AI Agent Security Evaluation Platform
DaTaobao Tech
DaTaobao Tech
May 25, 2026 · Artificial Intelligence

Scaling to Ten‑Thousand QPS: Lessons from Building a Real‑Time Product‑Domain Agent

The article details how the product team tackled AI‑driven challenges by designing a two‑layer, event‑driven Function‑Centric Agent architecture that unifies workflow orchestration and capability supply, enabling real‑time inference for billions of items, cutting development cycles to one person‑week, and boosting search conversion rates.

AI AgentAIFunctionFunction Calling
0 likes · 29 min read
Scaling to Ten‑Thousand QPS: Lessons from Building a Real‑Time Product‑Domain Agent
AI Engineering
AI Engineering
May 24, 2026 · Artificial Intelligence

Build a Local AI Agent from Scratch: A Deep‑Dive, Non‑Fast‑Food Tutorial

This tutorial walks you through the open‑source “AI Agents From Scratch” project, teaching how to build a fully local AI agent without any pre‑made framework by covering core modules, 14 step‑by‑step examples, advanced reasoning architectures, and minimal system requirements.

AI AgentChain-of-ThoughtPrompt Engineering
0 likes · 6 min read
Build a Local AI Agent from Scratch: A Deep‑Dive, Non‑Fast‑Food Tutorial
java1234
java1234
May 24, 2026 · Artificial Intelligence

OpenHuman AI Agent: Cutting Forgetting Time with Auto‑Sync and 118+ Integrations

OpenHuman is a desktop AI agent that eliminates the "memory loss" problem of chat‑based assistants by automatically syncing Gmail, Notion, GitHub, Slack and other services into a local Knowledge Base, offering Memory Tree storage, TokenJuice compression, 118+ OAuth integrations, and a simple UI that lets users start chatting within minutes.

AI AgentDesktop ApplicationMemory Tree
0 likes · 7 min read
OpenHuman AI Agent: Cutting Forgetting Time with Auto‑Sync and 118+ Integrations
LuTiao Programming
LuTiao Programming
May 24, 2026 · Backend Development

How Spring Boot and MCP Enable Java to Lead the AI Agent Ecosystem

This article explains the Model Context Protocol (MCP), compares it with traditional function calling, and walks through building a Spring Boot MCP server that lets Claude Desktop automatically invoke Java tools, covering architecture, code examples, security extensions, and future enterprise AI integrations.

AI AgentClaude DesktopJava
0 likes · 11 min read
How Spring Boot and MCP Enable Java to Lead the AI Agent Ecosystem
AI Architecture Path
AI Architecture Path
May 24, 2026 · Artificial Intelligence

How agentmemory Fixes Claude Code Forgetting and Slashes Token Usage by 92%

The article explains how the open‑source agentmemory system solves common AI‑coding assistant pain points—session forgetfulness, repetitive context feeding, and high token costs—by providing automatic, cross‑tool persistent memory, hybrid retrieval, and a zero‑dependency deployment that reduces token consumption by 92% while offering detailed benchmarks and configuration guides.

AI AgentAgentMemoryMCP
0 likes · 15 min read
How agentmemory Fixes Claude Code Forgetting and Slashes Token Usage by 92%
Shuge Unlimited
Shuge Unlimited
May 22, 2026 · Artificial Intelligence

Why Does Hermes Agent’s Sub‑10‑Line Loop Enable Self‑Evolution?

This article dissects Hermes Agent v0.14.0, revealing its three‑layer prompt architecture, a concise sub‑10‑line conversation loop, tool auto‑discovery, installation options, configuration pitfalls, security measures, and deployment best practices that together enable a self‑evolving AI agent framework.

AI AgentConfigurationHermes Agent
0 likes · 18 min read
Why Does Hermes Agent’s Sub‑10‑Line Loop Enable Self‑Evolution?
Architecture Digest
Architecture Digest
May 20, 2026 · Industry Insights

Feishu CLI Hits 10K Stars in Just 47 Days – Why It’s Exploding

The open‑source Feishu CLI surged to over 10,000 GitHub stars within 47 days, outpacing rival office‑platform CLIs, thanks to its three‑layer command architecture, built‑in Skill system, and seamless integration with AI agents that can automate full‑cycle office workflows.

AI AgentAutomationCLI
0 likes · 11 min read
Feishu CLI Hits 10K Stars in Just 47 Days – Why It’s Exploding
DataFunTalk
DataFunTalk
May 20, 2026 · Artificial Intelligence

How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering

The article analyzes why the current wave of AI agents often “run out of control,” proposes a multi‑dimensional safety framework built on ontology‑driven semantic infrastructure, and demonstrates its practical impact through architecture constraints, context engineering, feedback loops, and the Knora platform’s real‑world deployments.

AI AgentEnterprise AIKnora
0 likes · 20 min read
How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering
Xiaohongshu Tech REDtech
Xiaohongshu Tech REDtech
May 19, 2026 · Artificial Intelligence

Agent‑Driven R&D Efficiency: Exploration and Practice at QECon Shenzhen 2026

At QECon Shenzhen 2026, Xiaohongshu's tech team will present five technical talks that showcase how AI agents are applied to architecture risk analysis, change automation, large‑model load‑testing data construction, end‑to‑end testing, and client‑side performance, illustrating concrete engineering solutions and measurable productivity gains.

AI AgentAutomationLLM
0 likes · 13 min read
Agent‑Driven R&D Efficiency: Exploration and Practice at QECon Shenzhen 2026
SuanNi
SuanNi
May 18, 2026 · Artificial Intelligence

How Kimi WebBridge Lets AI Control Your Browser Like a Human

Kimi WebBridge is a browser extension that bridges local AI agents and Chrome/Edge, enabling the AI to act with the user's login state, cookies, and account to click, scroll, fill forms, and extract data securely on the local machine, while remaining non‑intrusive and supporting custom CLI tools.

AI AgentCLIChrome DevTools Protocol
0 likes · 11 min read
How Kimi WebBridge Lets AI Control Your Browser Like a Human
Architect's Ambition
Architect's Ambition
May 18, 2026 · Artificial Intelligence

Building Enterprise Private Knowledge Bases: End-to-End Crawl, Clean, and RAG Pipeline

The article outlines a complete six‑stage workflow for constructing enterprise‑grade private knowledge bases—starting with targeted web‑crawling and API ingestion, through data cleaning, chunking, embedding generation, vector storage, and finally multi‑stage RAG retrieval optimization—highlighting why early stages set the performance ceiling and offering practical tips from real‑world projects.

AI AgentChunkingEmbedding
0 likes · 10 min read
Building Enterprise Private Knowledge Bases: End-to-End Crawl, Clean, and RAG Pipeline
AgentGuide
AgentGuide
May 18, 2026 · Artificial Intelligence

AI Agent Essentials: Tokens, Skills, RAG, MCP, SDD & Harness Engineering

The article explains AI Agents as LLM‑based entities with planning, memory, and tool‑use capabilities, covering model pre‑training, fine‑tuning, hallucinations, the Model Context Protocol (MCP), tokenization, Retrieval‑Augmented Generation (RAG), multi‑layer memory, Skill packaging, ReAct reasoning‑action loops, self‑reflection, Harness engineering, and Spec‑Driven Development (SDD).

AI AgentHarness EngineeringLLM
0 likes · 9 min read
AI Agent Essentials: Tokens, Skills, RAG, MCP, SDD & Harness Engineering
Alibaba Cloud Developer
Alibaba Cloud Developer
May 18, 2026 · Artificial Intelligence

Redefining Skill Development: A Hands‑On Guide and One‑Stop Development Assistant

This article walks you through the concept of AI Agent Skills, showing how to design, write, install, publish, and manage a Skill—from the underlying three‑level loading mechanism and cross‑platform considerations to best‑practice guidelines, versioning strategies, automated testing, and even self‑improving loops—so you can turn repetitive tasks into reusable, shareable automation assets.

AI AgentAutomationPrompt Engineering
0 likes · 27 min read
Redefining Skill Development: A Hands‑On Guide and One‑Stop Development Assistant
IT Services Circle
IT Services Circle
May 17, 2026 · Frontend Development

Why VS Code Is Switching Its Core to TypeScript 7 (and What It Means)

Microsoft’s VS Code 1.119 update brings a full migration to TypeScript 7 with the compiler rewritten in Go, delivering faster type checking, lower memory usage, AI Agent security enhancements, token‑optimised AI features, OpenTelemetry integration and richer markdown editing, signalling a shift toward an AI‑first IDE platform.

AI AgentGoMarkdown
0 likes · 7 min read
Why VS Code Is Switching Its Core to TypeScript 7 (and What It Means)
Black & White Path
Black & White Path
May 17, 2026 · Information Security

OpenClaw’s Four‑Vulnerability Chain Exposes 245,000 AI Agent Servers to Attack

A security analysis reveals that on February 19, 2026, 23 OpenClaw vulnerabilities—four of which can be chained—left roughly 245,000 publicly exposed AI Agent servers vulnerable to credential theft, privilege escalation, persistent backdoors, and lateral movement, especially in finance, healthcare, and legal sectors.

AI AgentCVE-2026-44112CVE-2026-44113
0 likes · 15 min read
OpenClaw’s Four‑Vulnerability Chain Exposes 245,000 AI Agent Servers to Attack
Amazon Cloud Developers
Amazon Cloud Developers
May 14, 2026 · Artificial Intelligence

How an AI Agent Cut Cloud Migration from 218 to 55 Minutes, Reducing Engineer Work to 15

Using the AI‑driven IDE Kiro, a three‑tier CRM system was migrated from an on‑premise IDC to AWS, compressing total migration time from 218 to 55 minutes, cutting manual engineer interaction to 15 minutes, automating resource creation via CloudFormation, and seamlessly moving about 22,000 business records with DMS CDC.

AI AgentAWSAmazon CloudFormation
0 likes · 19 min read
How an AI Agent Cut Cloud Migration from 218 to 55 Minutes, Reducing Engineer Work to 15
Baidu Geek Talk
Baidu Geek Talk
May 13, 2026 · Frontend Development

Enabling Agents to See the Browser: A Runtime Harness Using Chrome DevTools Protocol

The article explains why AI agents need to perceive actual browser rendering, introduces an open‑source Browser Use skill built on Chrome DevTools Protocol that lets agents verify path, content, visual layout, interaction, console and network dimensions, and details the setup, workflow, optimization tips and practical deployment schemes.

AI AgentChrome DevTools ProtocolFrontend Testing
0 likes · 25 min read
Enabling Agents to See the Browser: A Runtime Harness Using Chrome DevTools Protocol
Wuming AI
Wuming AI
May 12, 2026 · Operations

How Two Custom Skills Eliminate Manual Photo Downloads

The article explains how the author packaged repetitive photo‑album download tasks into two Skills—alltuu-downloader and photoplus-downloader—so that an AI Agent can automatically fetch original images from cloud albums, saving users from clicking each picture individually.

AI AgentAutomationGitHub
0 likes · 6 min read
How Two Custom Skills Eliminate Manual Photo Downloads
Ubuntu
Ubuntu
May 12, 2026 · Industry Insights

Warp Open Sources Its Client – Benchmarking 5 Linux Terminals and AI‑Powered Command Line

Warp's client code is now fully open‑source under AGPL v3, positioning the terminal as an AI Agent workbench, and the article provides a detailed side‑by‑side evaluation of five Linux terminals—including performance, feature sets, licensing, and ideal use‑cases—plus installation guides and a look at Warp's built‑in AI capabilities.

AI AgentLinux terminalsUbuntu 26.04
0 likes · 9 min read
Warp Open Sources Its Client – Benchmarking 5 Linux Terminals and AI‑Powered Command Line
DataFunSummit
DataFunSummit
May 11, 2026 · Artificial Intelligence

The Memory Pain of AI Agents: Inside MemOS Architecture and 200% Cloud Usage Growth

This article analyses why memory has become the critical bottleneck for AI agents, explains the five‑layer MemOS framework that fuses model‑driven and application‑driven approaches, presents performance gains such as 45‑72% token savings and 30% response‑quality improvement, and showcases real‑world deployments and security mechanisms that turn memory from a pain point into a scalable infrastructure.

AI AgentCloud ServicesMemOS
0 likes · 18 min read
The Memory Pain of AI Agents: Inside MemOS Architecture and 200% Cloud Usage Growth
Su San Talks Tech
Su San Talks Tech
May 11, 2026 · Artificial Intelligence

How Google’s Open‑Source MCP Toolbox Secures AI Agent Database Access

The article analyzes the dangers of giving LLMs unrestricted database privileges, explains Google’s MCP Toolbox design that enforces least‑privilege, structured queries and authentication, provides a step‑by‑step Go integration guide, shares production pitfalls, and compares suitable use cases versus raw function calling.

AI AgentDatabase SecurityGo
0 likes · 18 min read
How Google’s Open‑Source MCP Toolbox Secures AI Agent Database Access
JavaGuide
JavaGuide
May 11, 2026 · Artificial Intelligence

Running Code Review and Voice Agents with Step Plan and Claude Code

The article walks through using Step Plan’s unified API to integrate Claude Code for automated code review and to build a voice‑agent pipeline that transcribes meeting recordings, generates structured summaries, and produces audio briefs, while discussing setup, costs, model selection, practical demos, and observed limitations.

AI AgentASRClaude Code
0 likes · 24 min read
Running Code Review and Voice Agents with Step Plan and Claude Code
DataFunSummit
DataFunSummit
May 11, 2026 · Artificial Intelligence

Four Hidden Pitfalls of the Hermes AI Agent—and How to Fix Them

The Hermes AI Agent, despite its hype and one‑click deployment, suffers from four critical issues—cognitive gaps after deployment, uncontrolled self‑evolution, limited memory applicability, and finite security rules—each of which DTClaw addresses with professional skill bundles, a deterministic Skill‑Tune engine, pluggable memory architecture, and the CARLI five‑dimensional security model, backed by benchmark improvements.

AI AgentCARLIDTClaw
0 likes · 8 min read
Four Hidden Pitfalls of the Hermes AI Agent—and How to Fix Them
Linyb Geek Road
Linyb Geek Road
May 11, 2026 · Artificial Intelligence

14 Reusable Agent Skill Design Patterns from Anthropic’s Official Best Practices

The article distills Anthropic’s official skill‑authoring guide into fourteen reusable design patterns—grouped into discovery, context economy, instruction calibration, workflow control, and executable code—detailing their purpose, concrete examples, applicability, and trade‑offs for building effective Claude Agent Skills.

AI AgentAgent SkillsAnthropic
0 likes · 17 min read
14 Reusable Agent Skill Design Patterns from Anthropic’s Official Best Practices
inShocking
inShocking
May 10, 2026 · Artificial Intelligence

Inshocking Picks #1: 5 AI Agent Projects to Watch – Orchestration, Context Optimization, Multi‑Platform Assistants

This article reviews five standout GitHub‑trending AI Agent and developer‑tool projects—ruflo, AstrBot, context‑mode, AionUi, and TradingAgents—detailing the problems each solves, why they attracted rapid star growth, and which engineers would benefit from adopting them.

AI AgentCLI ToolsGitHub Trending
0 likes · 10 min read
Inshocking Picks #1: 5 AI Agent Projects to Watch – Orchestration, Context Optimization, Multi‑Platform Assistants
DataFunSummit
DataFunSummit
May 10, 2026 · Artificial Intelligence

Why Memory Is the Bottleneck for AI Agents and How MemOS Overcomes It

The article analyzes the critical role of memory in AI agents, compares model‑driven and application‑driven approaches, details the five‑layer MemOS architecture with three‑level memory coordination, and presents performance gains such as 100‑200% monthly cloud‑service growth, up to 72% token savings, and a 30% improvement in answer quality.

AI AgentEnterprise AILLM
0 likes · 18 min read
Why Memory Is the Bottleneck for AI Agents and How MemOS Overcomes It
ITPUB
ITPUB
May 10, 2026 · Information Security

When an AI Deleted a Core Database in 9 Seconds and Penned Its Own Confession

An AI coding agent running in Cursor used a Railway GraphQL token with full privileges to delete a production database volume in nine seconds, exposing critical gaps in permission design, backup isolation, and human oversight, and even wrote a confession admitting it guessed the operation.

AI AgentPermission ManagementRailway API
0 likes · 10 min read
When an AI Deleted a Core Database in 9 Seconds and Penned Its Own Confession
DataFunTalk
DataFunTalk
May 9, 2026 · Artificial Intelligence

Four Hidden Pitfalls of Hermes Agent and How DTClaw Bridges Them

The article examines four overlooked problems of the Hermes AI Agent—cognitive deployment gaps, uncontrolled self‑evolution, limited memory applicability, and finite security rules—and details how DTClaw’s professional skill bundles, deterministic self‑evolution engine, pluggable memory backend, and CARLI five‑dimensional security model address each issue with concrete benchmark improvements.

AI AgentDTClawHermes Agent
0 likes · 8 min read
Four Hidden Pitfalls of Hermes Agent and How DTClaw Bridges Them
AgentGuide
AgentGuide
May 9, 2026 · Artificial Intelligence

Interview Question: What Is Harness Engineering and How to Answer It

The article defines Harness Engineering—also called "驾驭工程"—as a set of engineering methods that create a structured environment for AI agents, addressing issues like missing context, tool access, feedback loops, and security, and contrasts it with prompt engineering while providing concrete implementation steps.

AI AgentAgent EnvironmentHarness Engineering
0 likes · 8 min read
Interview Question: What Is Harness Engineering and How to Answer It
AI Explorer
AI Explorer
May 7, 2026 · Artificial Intelligence

Goose Open‑Source AI Agent: A Desktop Assistant That Goes Beyond Code

Goose is an open‑source, Rust‑based AI agent that runs locally, handling the entire development workflow—from installing dependencies to running tests—while supporting 15+ LLM providers via the ACP protocol and offering desktop, CLI, and API interfaces for developers, analysts, and ops engineers.

AI AgentAutomationGoose
0 likes · 6 min read
Goose Open‑Source AI Agent: A Desktop Assistant That Goes Beyond Code
ByteDance SE Lab
ByteDance SE Lab
May 7, 2026 · Information Security

When Desktop AI Agents Become Standard, How Feilian ADR Provides End‑to‑End Security

The article analyzes the rapid adoption of AI agents in office environments, outlines three emerging security trends—including task‑execution risks, unlimited CLI permissions, and alert overload—and presents Feilian's integrated endpoint‑network‑cloud ADR approach to achieve full‑stack, intent‑aware protection.

AI AgentAI GovernanceEndpoint Security
0 likes · 10 min read
When Desktop AI Agents Become Standard, How Feilian ADR Provides End‑to‑End Security
PaperAgent
PaperAgent
May 7, 2026 · Artificial Intelligence

190 Must-Read AI Agent Papers + 321 Google Implementation Cases – Free Resource Pack

The article provides a free compiled resource containing 190 essential AI Agent papers—from fundamentals to cutting‑edge topics—along with 321 Google‑released implementation cases and 500 open‑source agent applications, all with source code to help beginners and researchers quickly understand the field and reproduce results.

AI AgentLLMResearch Papers
0 likes · 6 min read
190 Must-Read AI Agent Papers + 321 Google Implementation Cases – Free Resource Pack
DataFunSummit
DataFunSummit
May 5, 2026 · Artificial Intelligence

How Huawei Noah’s KAR Project Leverages LLMs to Advance Recommendation Systems

The article reviews the evolution of recommendation systems from deep learning to large language models, analyzes core challenges such as noisy implicit feedback and limited semantic understanding, and details Huawei Noah’s KAR solution that uses factorized prompting, multi‑expert adapters, and AI‑Agent architectures to achieve a 1.5% AUC lift and validated online A/B test results.

AI AgentAUCHuawei
0 likes · 5 min read
How Huawei Noah’s KAR Project Leverages LLMs to Advance Recommendation Systems
DevOps Operations Practice
DevOps Operations Practice
May 4, 2026 · Artificial Intelligence

Beyond OpenClaw: A Complete Guide to China’s AI Agent Tools

The article reviews the most popular Chinese AI agent platforms—including QClaw, ArkClaw, CoPaw, DuClaw, KimiClaw, and MaxClaw—detailing each product’s core capabilities, ecosystem integration, deployment options, pricing models, and the trade‑offs that affect everyday users.

AI AgentArkClawChinese AI tools
0 likes · 7 min read
Beyond OpenClaw: A Complete Guide to China’s AI Agent Tools
AgentGuide
AgentGuide
May 3, 2026 · Artificial Intelligence

How to Evaluate an AI Agent Beyond Just Accuracy

Evaluating AI agents requires more than accuracy; you must measure task completion, execution trace, tool usage, latency, cost, error rates, and both explicit and implicit user feedback, using observability, offline smoke‑test and regression suites, and continuous online monitoring to create a closed‑loop improvement process.

AI AgentEvaluationMetrics
0 likes · 14 min read
How to Evaluate an AI Agent Beyond Just Accuracy
James' Growth Diary
James' Growth Diary
May 3, 2026 · Artificial Intelligence

How Claude Code Handles max_output_tokens and Model Downgrade to Keep Agents Running

The article explains Claude Code's multi‑level fault‑tolerance for max_output_tokens errors, detailing dynamic token allocation, automatic model downgrade, environment‑variable controls, StopFailure hooks, and their coordination with compaction to prevent agents from getting stuck during long‑running tasks.

AI AgentClaude CodeCompaction
0 likes · 13 min read
How Claude Code Handles max_output_tokens and Model Downgrade to Keep Agents Running
PMTalk Product Manager Community
PMTalk Product Manager Community
May 3, 2026 · Product Management

Why Every AI Product Manager Must Master Agent Architecture

Product managers are increasingly anxious about how AI Agents will reshape product logic, prompting a shift from button‑driven apps to intent‑driven assistants; this article breaks down the four core modules of an Agent, illustrates a market‑analysis workflow, and outlines design trade‑offs and common pitfalls.

AI AgentActorProduct Architecture
0 likes · 11 min read
Why Every AI Product Manager Must Master Agent Architecture
dbaplus Community
dbaplus Community
May 2, 2026 · Artificial Intelligence

Inside Claude Code: A Deep Dive into Its Powerful Agent Architecture

This article provides a comprehensive technical analysis of Claude Code, covering its project scale, two‑layer agent loop design, five design principles, tool system architecture, fine‑grained permission model, multi‑agent collaboration strategies, context‑engineered system prompts, and a custom React‑based terminal UI, all illustrated with concrete code excerpts and diagrams.

AI AgentAgent LoopClaude Code
0 likes · 38 min read
Inside Claude Code: A Deep Dive into Its Powerful Agent Architecture
Old Meng AI Explorer
Old Meng AI Explorer
May 1, 2026 · Artificial Intelligence

Get Started with Hermes in 3 Minutes: A Beginner’s Guide to Your Own AI Agent

This article introduces Hermes Agent, an open‑source self‑evolving AI assistant that remembers your preferences across sessions, outlines its core capabilities, walks through system requirements, one‑click installation, model configuration, common commands, advanced features like cron jobs and browser integration, and provides troubleshooting tips.

AI AgentAutomationCLI
0 likes · 18 min read
Get Started with Hermes in 3 Minutes: A Beginner’s Guide to Your Own AI Agent
ZhiKe AI
ZhiKe AI
May 1, 2026 · Artificial Intelligence

From Chatbot to Action: How Large‑Model Agents Turn Queries into Real‑World Tasks

The article explains that large‑model agents differ from traditional chatbots by perceiving goals, planning steps, invoking tools, and executing actions autonomously, covering their definition, core modules, ReAct reasoning‑acting loop, single‑ versus multi‑agent systems, current industry trends, and the reliability, safety, observability, and cost challenges they face.

AI AgentAI EngineeringLLM
0 likes · 18 min read
From Chatbot to Action: How Large‑Model Agents Turn Queries into Real‑World Tasks
DataFunSummit
DataFunSummit
Apr 30, 2026 · Artificial Intelligence

Unpacking MemOS: How AI Agents Overcome the “Memory Pain” and Boost Cloud Calls by 200%

The article analyses why memory is the critical bottleneck for AI agents, compares model‑driven and application‑driven memory approaches, details MemOS’s five‑layer architecture and three‑layer coordination, and shows how its cloud service achieved 100‑200% monthly growth while reducing token usage and improving LLM response quality.

AI AgentCloud ServicesEnterprise AI
0 likes · 16 min read
Unpacking MemOS: How AI Agents Overcome the “Memory Pain” and Boost Cloud Calls by 200%
AI Architecture Path
AI Architecture Path
Apr 30, 2026 · Artificial Intelligence

How a 592‑Line Open‑Source Tool Lets Claude Code Autonomously Control Browsers

Browser Harness is a lightweight, 592‑line Python framework built on Chrome DevTools Protocol that lets AI agents like Claude Code dynamically edit their own helper functions, auto‑generate site‑specific skills, and operate browsers without predefined scripts, while outlining its performance benefits, security cautions, and current limitations.

AI AgentBrowser HarnessChrome DevTools Protocol
0 likes · 11 min read
How a 592‑Line Open‑Source Tool Lets Claude Code Autonomously Control Browsers
AI Explorer
AI Explorer
Apr 29, 2026 · Artificial Intelligence

Open-Source ML Intern: One-Click Paper Reading, Training & Deployment – Hype or Real Deal?

ml‑intern, an open‑source AI agent from Hugging Face, automates the full ML workflow—reading papers, generating code, training and deploying models—using an asynchronous event‑driven loop with submission and event queues, supporting interactive and headless modes, Slack notifications, and multiple LLM back‑ends.

AI AgentAutomationHugging Face
0 likes · 5 min read
Open-Source ML Intern: One-Click Paper Reading, Training & Deployment – Hype or Real Deal?
DeWu Technology
DeWu Technology
Apr 29, 2026 · Information Security

How a General AI Agent Powers Scalable Gateway Route Security Audits

The article presents a practical AI‑driven security audit system for gateway routes that uses a layered “general Agent + business Skill” design, combines batch AI filtering with human verification, achieves full‑coverage, minute‑level detection, and reduces token costs by over 95 % through multiple optimizations.

AI AgentAPI SecurityMCP Tool
0 likes · 15 min read
How a General AI Agent Powers Scalable Gateway Route Security Audits
Tech Freedom Circle
Tech Freedom Circle
Apr 29, 2026 · Artificial Intelligence

Inside Harness’s Super‑Powerful Three‑Level Memory Architecture: Context, History Layers, and Fact Lists

The article provides a detailed, source‑code‑backed walkthrough of Harness’s three‑level memory system—user context, historical layering, and a structured fact list—explaining each layer’s purpose, update frequency, lifecycle, and how the surrounding middleware, queue, updater, storage, and injection modules cooperate to deliver real‑time, persistent, and searchable memory for AI agents.

AI AgentDeerFlowHarness
0 likes · 27 min read
Inside Harness’s Super‑Powerful Three‑Level Memory Architecture: Context, History Layers, and Fact Lists
AI Architect Hub
AI Architect Hub
Apr 29, 2026 · Artificial Intelligence

Hermes Agent Guide: Install, Model Integration, Skills, MCP, Message Gateway

This comprehensive guide walks you through installing Hermes Agent, configuring over 20 model providers, setting up the Skill system, enabling MCP client/server modes, and connecting the agent to 17 messaging platforms, while also covering execution back‑ends, security settings, and troubleshooting tips.

AI AgentConfigurationHermes Agent
0 likes · 20 min read
Hermes Agent Guide: Install, Model Integration, Skills, MCP, Message Gateway
java1234
java1234
Apr 29, 2026 · Artificial Intelligence

What Exactly Is an AI Agent and How Does It Differ from a Chatbot?

The article explains that an AI Agent combines a large language model, a clear goal, and callable tools in a multi‑step reasoning loop, detailing its perception‑plan‑act architecture, differences from plain chat, common misconceptions, and practical questions for evaluating such systems.

AI AgentAgent LoopLLM
0 likes · 8 min read
What Exactly Is an AI Agent and How Does It Differ from a Chatbot?
AI Engineer Programming
AI Engineer Programming
Apr 29, 2026 · Fundamentals

Balancing Core Stability and Extensibility: Design and Implementation of pi Agent’s Extension System

The article explains how the pi agent’s extension system resolves the tension between core stability and capability extensibility by using inversion of control, dependency injection, adapter and event‑driven patterns, two‑phase initialization, and concrete Python implementations, while comparing it with other plugin architectures.

AI AgentDependency InjectionPython
0 likes · 26 min read
Balancing Core Stability and Extensibility: Design and Implementation of pi Agent’s Extension System
Tech Freedom Circle
Tech Freedom Circle
Apr 28, 2026 · Artificial Intelligence

How to Build an Enterprise‑Grade Manus Platform with DeerFlow: A Hands‑On Harness Implementation

This article provides a detailed, step‑by‑step analysis of DeerFlow—an open‑source Super Agent Harness—covering its design philosophy versus traditional frameworks, core architecture layers, key services such as Gateway API, LangGraph Server and Sandbox, the long‑horizon agent features, skills system, deployment options, and real‑world enterprise case studies, all illustrated with diagrams and code snippets.

AI AgentDeerFlowHarness
0 likes · 31 min read
How to Build an Enterprise‑Grade Manus Platform with DeerFlow: A Hands‑On Harness Implementation
Old Zhang's AI Learning
Old Zhang's AI Learning
Apr 28, 2026 · Artificial Intelligence

OpenAI’s Latest Open‑Source Releases: Codex CLI, Plugins, Symphony, and Privacy‑Filter

OpenAI has recently open‑sourced three projects—Codex CLI, the openai/plugins repository, the engineering‑preview Symphony orchestration service, and the privacy‑filter model—detailing installation, plugin architecture, workflow orchestration design, and usage examples, while comparing them to competing agents and noting practical constraints.

AI AgentCodex CLIOpenAI
0 likes · 17 min read
OpenAI’s Latest Open‑Source Releases: Codex CLI, Plugins, Symphony, and Privacy‑Filter
AI Architecture Hub
AI Architecture Hub
Apr 28, 2026 · Product Management

Designing Products for AI Agents: Lessons from Salesforce Headless 360

The article examines how AI agents are becoming primary callers of software, outlines the shift from human‑centric UI design to agent‑readable actions, and details Salesforce Headless 360's multi‑mode invocation, semantic layer, lifecycle governance, scenario adaptation, and a five‑step roadmap for building agent‑friendly products.

AI AgentHeadless ArchitectureLifecycle Governance
0 likes · 15 min read
Designing Products for AI Agents: Lessons from Salesforce Headless 360
AI Waka
AI Waka
Apr 26, 2026 · Artificial Intelligence

Unlocking Reliable AI Agents: A Deep Dive into Harness Engineering

The article examines why raw LLM models fail as autonomous coding agents and introduces Harness Engineering—a disciplined scaffold of prompts, tools, context policies, hooks, and sub‑agents—that mitigates context corruption, long‑task collapse, and security risks while cutting token costs by up to 50%.

AI AgentHarness EngineeringLLM safety
0 likes · 14 min read
Unlocking Reliable AI Agents: A Deep Dive into Harness Engineering
DataFunSummit
DataFunSummit
Apr 26, 2026 · Artificial Intelligence

How AI Powers an Immersive Vibe Analyzing Experience for Data Exploration

The article analyzes how AskTable uses AI agents to replace static BI dashboards with an immersive, real‑time data‑analysis canvas, enabling business users to query multiple data sources in seconds, while addressing accuracy, table‑finding, and fine‑grained permission challenges.

AIAI AgentAskTable
0 likes · 15 min read
How AI Powers an Immersive Vibe Analyzing Experience for Data Exploration
SuanNi
SuanNi
Apr 26, 2026 · Artificial Intelligence

Xiaomi’s MiMo‑V2.5: Halving Cost, Doubling Efficiency with a New Multimodal LLM

Xiaomi unveiled the MiMo‑V2.5 and MiMo‑V2.5‑Pro large language models, highlighting up to 50% lower API cost, multimodal perception, token‑efficiency gains, benchmark superiority over Claude Opus 4.6 and GPT‑5.4, and real‑world demos that built a full compiler in 4.3 hours and a video‑editing web app in 11.5 hours.

AI AgentLarge Language ModelMiMo V2.5
0 likes · 6 min read
Xiaomi’s MiMo‑V2.5: Halving Cost, Doubling Efficiency with a New Multimodal LLM
AI Illustrated Series
AI Illustrated Series
Apr 26, 2026 · Artificial Intelligence

AI Agents: Limits, Future Trends, and Real Opportunities Explained

The article examines AI agents' five key limitations—reliability, cost, speed, context window, and tool ecosystem—then outlines five emerging trends, multiple market opportunities, and practical advice for entrepreneurs and users, emphasizing why agents are a pivotal step toward actionable AI.

AI AgentAgent platformsfuture trends
0 likes · 15 min read
AI Agents: Limits, Future Trends, and Real Opportunities Explained
AI Illustrated Series
AI Illustrated Series
Apr 26, 2026 · Artificial Intelligence

15 Real-World AI Agent Use Cases You Can Deploy Today

The article outlines fifteen mature AI Agent scenarios across office productivity, customer service, software development, and data analysis, explains how each works, ranks their readiness, and discusses why some applications are ready for large‑scale use while others remain experimental.

AI AgentAutomationcode assistant
0 likes · 14 min read
15 Real-World AI Agent Use Cases You Can Deploy Today
AI Illustrated Series
AI Illustrated Series
Apr 26, 2026 · Artificial Intelligence

Build Your First LangChain Agent: A Hands‑On Framework Tutorial

This article walks through a practical, step‑by‑step construction of a LangChain agent—from basic concepts and a simple weather‑query agent to a more complex market‑research agent, adding memory and RAG capabilities, and finally comparing LangChain with LangGraph.

AI AgentLangChainPrompt Engineering
0 likes · 15 min read
Build Your First LangChain Agent: A Hands‑On Framework Tutorial
Alibaba Cloud Native
Alibaba Cloud Native
Apr 26, 2026 · Cloud Native

Seeing Inside Hermes: Full Visibility into Agent Execution with OpenTelemetry

The article introduces Alibaba Cloud's Hermes observability plugin built on OpenTelemetry, which transforms the previously opaque AI agent runtime into a fully traceable system by recording every reasoning step, tool invocation, token usage, latency, and security event, enabling precise cost attribution, performance analysis, and audit of high‑risk behaviors.

AI AgentHermesMetrics
0 likes · 13 min read
Seeing Inside Hermes: Full Visibility into Agent Execution with OpenTelemetry
AI Architecture Hub
AI Architecture Hub
Apr 26, 2026 · Artificial Intelligence

How Hermes Skills Enable Agent Self‑Evolution: Experience Engineering as the Next‑Gen Key

The article analyzes how Hermes Agent structures memory, session retrieval, and process assets into three clear layers, integrates Skills into the runtime, compares this approach with Claude Skills, Codex, and OpenClaw, and outlines security, versioning, and deployment safeguards for reliable self‑evolving agents.

AI AgentExperience EngineeringHermes Agent
0 likes · 10 min read
How Hermes Skills Enable Agent Self‑Evolution: Experience Engineering as the Next‑Gen Key
DataFunSummit
DataFunSummit
Apr 25, 2026 · Industry Insights

How Palantir’s Ontology and AI Agents Are Redefining Enterprise Intelligence

The article analyzes Palantir’s core platforms—Gotham, Foundry, and the AI Platform (AIP)—explaining how its ontology‑driven data integration and low‑code AI Agent capabilities break data silos, accelerate decision‑making, and create measurable business value across government, defense, and commercial sectors.

AI AgentAIPEnterprise Data Integration
0 likes · 11 min read
How Palantir’s Ontology and AI Agents Are Redefining Enterprise Intelligence
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

How AI Agents Remember Everything: A Deep Dive into Memory System Design

The article explains why large language models lack persistent memory, introduces a three‑layer memory architecture for AI agents—sensory, working, and long‑term memory—and details how vector databases, embedding models, and retrieval strategies enable cross‑session knowledge retention and personalized assistance.

AI AgentEmbeddingMemory Architecture
0 likes · 24 min read
How AI Agents Remember Everything: A Deep Dive into Memory System Design
AI Illustrated Series
AI Illustrated Series
Apr 25, 2026 · Artificial Intelligence

How Agents Work: Inside Their Perception, Planning, Action, and Memory

This article breaks down an AI agent's workflow—perception, planning, action, and memory—using a product‑launch example, explains reasoning methods like Chain‑of‑Thought and ReAct, details tool integration, memory types, common failure modes, and why planning and tool ecosystems are essential.

AI AgentPerceptionPlanning
0 likes · 11 min read
How Agents Work: Inside Their Perception, Planning, Action, and Memory
Architects' Tech Alliance
Architects' Tech Alliance
Apr 25, 2026 · Artificial Intelligence

How Domestic Claw Platforms Are Winning the AI Agent Entry Battle

The article analyzes OpenClaw’s shift from GUI to API, its continuous workflow capabilities, the competition for high‑frequency user scenarios, the prospect of per‑device Claw instances, data‑context security concerns, and the potential fragmentation of SaaS software in the emerging AI agent market.

AI AgentAPIChina
0 likes · 12 min read
How Domestic Claw Platforms Are Winning the AI Agent Entry Battle
SuanNi
SuanNi
Apr 24, 2026 · Artificial Intelligence

Why GPT‑5.5 Beats Opus 4.7 and Sets a New Global SOTA

OpenAI’s newly released GPT‑5.5, marketed as a “next‑generation AI for real work,” outperforms competitors across coding, knowledge‑work, and scientific research benchmarks—achieving 82.7% accuracy on Terminal‑Bench 2.0, 58.6% on SWE‑Bench Pro, 84.9% on GDPval, and 98.0% on Tau2‑bench Telecom—while offering higher token efficiency and new pricing tiers.

AI AgentGPT-5.5OpenAI
0 likes · 11 min read
Why GPT‑5.5 Beats Opus 4.7 and Sets a New Global SOTA
DataFunSummit
DataFunSummit
Apr 24, 2026 · Artificial Intelligence

How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering

The article analyzes why current AI agents often act unpredictably, defines a multi‑dimensional notion of safe and controllable execution, proposes an ontology‑driven semantic foundation with architecture constraints, context engineering, and feedback loops, and demonstrates the Knora implementation through concrete workflow examples.

AI AgentFeedback LoopKnora
0 likes · 20 min read
How Ontology‑Driven Agents Enable Controllable Execution in Harness Engineering
Linyb Geek Road
Linyb Geek Road
Apr 24, 2026 · Artificial Intelligence

14 Reusable Agent Skill Design Patterns from Anthropic’s Official Best Practices

The article distills Anthropic’s official skill‑authoring guidance into fourteen reusable design patterns—grouped into discovery & selection, context economy, instruction calibration, workflow control, and executable code—explaining their purpose, trade‑offs, and practical examples for building effective Claude Agent Skills.

AI AgentAgent SkillsAnthropic
0 likes · 19 min read
14 Reusable Agent Skill Design Patterns from Anthropic’s Official Best Practices
Linyb Geek Road
Linyb Geek Road
Apr 24, 2026 · Artificial Intelligence

How Anthropic Engineers Turn Skills into Stable, Reusable Agent Assets

AI teams often waste effort on prompts that break in new scenarios, but Anthropic engineers show that upgrading prompts to engineered "Skills"—standardized work units with documentation, scripts, and validation—enables agents to reliably reuse team experience across workflows.

AI AgentAnthropicClaude
0 likes · 12 min read
How Anthropic Engineers Turn Skills into Stable, Reusable Agent Assets