[KongchangAI]

#AI Agent

1071 related articles

MCP Internal Assistant Selection: NeuralTrust TrustGate vs Composio Hands-on Comparison
·3 min

MCP Internal Assistant Selection: NeuralTrust TrustGate vs Composio Hands-on Comparison

When connecting internal assistants to Slack, Jira, and internal APIs via MCP, how to choose between NeuralTrust TrustGate and Composio? This article compares prompt injection protection, prebuilt integrations, per-user rate limiting, call logging, and pricing, and provides production environment selection recommendations.

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Production AI Agent Operations: A Three-Step Framework for Observing, Evaluating, and Optimizing
·3 min

Production AI Agent Operations: A Three-Step Framework for Observing, Evaluating, and Optimizing

Azure Cosmos DB team proposes a three-step framework for production AI Agent operations: observe trace tracking, evaluate with LLM as a judge and regression testing, optimize cost across RU, retrieval, memory, and LLM layers.

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AI Agent Agencies: One-Time Development Fees or Reselling Platforms?
·2 min

AI Agent Agencies: One-Time Development Fees or Reselling Platforms?

Should AI Agent agencies charge one-time development fees or resell white-label platforms monthly? A Reddit developer discussion reveals the real challenges of agent deployment: bots get lost, and human fallback is essential. This article analyzes the profit structures and hybrid strategies of both models.

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How Does Claude Call Tools It Has Never Seen? MCP and AI Agent Principles Explained
·4 min

How Does Claude Call Tools It Has Never Seen? MCP and AI Agent Principles Explained

How does Claude call tools it was never trained on? This article breaks down the AI Agent tool-calling loop, Anthropic's three-layer MCP architecture, context bloat and context rot, and production-grade Agent safety design principles including timeout retries, prompt injection, and idempotency keys.

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Claude Duet Explained: How Proactive Agents Differ from Claude Code Routines
·3 min

Claude Duet Explained: How Proactive Agents Differ from Claude Code Routines

Claude Duet is Anthropic's proactive agent in research preview, working in the background and generating daily briefings. This article explains how it differs from Claude Code Routines.

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AI Agent Draws an Architectural Elevation in 15 Seconds — Open-Source Drawing Software Rewritten by AI
·2 min

AI Agent Draws an Architectural Elevation in 15 Seconds — Open-Source Drawing Software Rewritten by AI

An AI Agent controls open-source drawing tool VectorCraft via MCP Server, executing 1,077 commands with zero errors to draw an architectural elevation in 15 seconds and export editable SVG/PDF.

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MCP Security Primer: OWASP Top 10 Risks and the Lethal Trifecta Defense
·5 min

MCP Security Primer: OWASP Top 10 Risks and the Lethal Trifecta Defense

A systematic breakdown of MCP security risks: from the Postmark backdoor to the OWASP MCP Top 10, how the Lethal Trifecta reveals AI Agent fragility, plus shadow servers and missing audits.

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Claude Duet Unveiled: Anthropic Launches a Proactive Personal Assistant
·2 min

Claude Duet Unveiled: Anthropic Launches a Proactive Personal Assistant

Anthropic launches Claude Duet, a proactive personal assistant seen as a response to Muses, Bots, and Dots. This analysis covers its positioning, competition, technical barriers, and market impact.

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Behind the QQ Agent Hype: Ecosystem Chaos and Pitfall-Avoidance Guide as Newcomers Flood In
·3 min

Behind the QQ Agent Hype: Ecosystem Chaos and Pitfall-Avoidance Guide as Newcomers Flood In

After QQ Agent's explosive growth, community numbers surged. Bilibili creator Bai Lu complains about common newcomer issues: API configuration errors, model selection confusion, account conflicts, incomplete error screenshots. This article sorts out the technical essence of these high-frequency problems and offers Agent tool pitfall-avoidance advice and a must-read guide for newcomers.

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The Most Comprehensive AI Agent Tutorial on Bilibili: From Zero to Practice in Seven Days
·2 min

The Most Comprehensive AI Agent Tutorial on Bilibili: From Zero to Practice in Seven Days

Comprehensive analysis of Bilibili's AI Agent tutorial: from ReAct framework, planning & reasoning, memory mechanisms in the cognition part to LangChain & AutoGen practice in advanced part, and enterprise project implementation. Is the seven-day learning path reliable? Who is it for? This article breaks down the course structure and design philosophy.

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748-Episode AI Agent Development Course: A Complete Guide to Enterprise-Level Intelligent Agent Practice
·2 min

748-Episode AI Agent Development Course: A Complete Guide to Enterprise-Level Intelligent Agent Practice

In-depth analysis of Bilibili's 748-episode AI Agent development course: from basic environment setup, prompt engineering, RAG knowledge bases to enterprise-level practical projects and job interview guidance, evaluating its course structure and learning value for Agent development learners.

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WorkBuddy Practical Guide: Build Your AI Office Automation Agent from Zero
·2 min

WorkBuddy Practical Guide: Build Your AI Office Automation Agent from Zero

WorkBuddy hands-on tutorial: from installation to application, explaining the essential difference between desktop AI Agents and chatbots, comparing WorkBuddy vs CodeX on barriers, ecosystem, and cost, and breaking down file management, data processing, and collaborative office scenarios to help zero-basis office workers shift from AI questioners to AI managers.

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Grok Bot from Scratch: Installation & Login, Building an AI Team, and Cloud Agent Security Settings
·4 min

Grok Bot from Scratch: Installation & Login, Building an AI Team, and Cloud Agent Security Settings

A from-scratch Grok Bot tutorial: official download and login, subscription access checks, your first assistant with a test, researcher and planner Bot teamwork, cloud Agent install, API credential security, Auto Review rules, and cost control.

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Master WorkBuddy in Ten Lessons: From Chat AI to an Automated Digital Colleague
·3 min

Master WorkBuddy in Ten Lessons: From Chat AI to an Automated Digital Colleague

A complete breakdown of the ten-lesson WorkBuddy tutorial on Bilibili: installation, the three working modes, the six elements of task descriptions, Skills, expert teams, MCP connectors, mini programs and IM assistants, external API access, and the five elements and six screening questions for scheduled Agent tasks—all in one article to understand how AI agents go from chat tools to digital colleagues that work for you.

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I Handed My Plants Over to an AI Agent: A Practical Guide to Automated Watering from Sensors to Pump
·3 min

I Handed My Plants Over to an AI Agent: A Practical Guide to Automated Watering from Sensors to Pump

A Bilibili creator uses ESP32-S3, SHT40, light and soil sensors, ESP32-CAM, and Doubao Work to build an AI Agent that senses plant status, makes judgments, and controls a water pump.

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Hermes Agent Advanced Guide: 10 Configurations to Build a Super Assistant
·3 min

Hermes Agent Advanced Guide: 10 Configurations to Build a Super Assistant

Don't just chat after installing Hermes Agent. This article breaks down 10 core configurations tested on Bilibili: Camoufox stealth scraping, Soul.md persona injection, primary/secondary model cost reduction, three-layer memory, Docker sandbox isolation, Swarm multi-Agent collaboration, and automated skill evolution—helping you transform your initial Agent into a full-stack digital employee.

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Agent Scraper Mines Taoguba Hot Money Data: A Practical Review and Zero-Basics Deployment Tutorial
·3 min

Agent Scraper Mines Taoguba Hot Money Data: A Practical Review and Zero-Basics Deployment Tutorial

Bilibili creator shares Taoguba scraper Agent: scraping hot money discussions to generate pre-market plans, 11.72% daily return, zero-basics deployment tutorial, rule-based trading logic, and reverse validation table design, analyzing AI Agent's practical application and boundaries in short-term trading.

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Mouse-1: An Efficient Decision Model Built for AI Agents, 163x Cheaper
·2 min

Mouse-1: An Efficient Decision Model Built for AI Agents, 163x Cheaper

Mouse-1 is a lightweight decision model for AI Agent frameworks, reportedly 163x cheaper and 65x faster than GPT-6 Sol. Learn how it works, its cost advantages, and use cases.

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