#AI agent system
3953 related articles
·3 min
The ISNAD Framework: Building a Trust Verification Layer for Multi-Agent AI Systems Using a Millennium-Old Scholarly Tradition
The ISNAD framework adapts Islamic chain-of-transmission verification to build a trust layer for multi-agent AI systems, focusing on claim verification over agent authentication to combat hallucinations and silent failures.
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·3 min
What Are Agent Skills? A Detailed Guide to AI Agent Skill System Architecture and Principles
A deep dive into AI Agent Skills: understand the core concepts and technical implementation through the four key elements — SKILL.md, references, scripts, and assets — and learn how Skills differ from prompts.
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·3 min
What Are Agent Skills? A Complete Guide to AI Agent Skill System Architecture and Principles
A deep dive into AI Agent Skills: their core concepts, technical implementation, the four key elements (SKILL.md, references, scripts, assets), and how Skills differ from prompts.
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·5 min
Complete Breakdown of Core Competencies for AI Agent Engineers: From Demo to Production-Grade Systems
Deep breakdown of 4 core AI Agent engineer competencies: business decomposition, multi-Agent architecture, quantitative evaluation, and engineering delivery—bridging the gap from Demo to production.
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·3 min
GitHub Daily · July 27: AI Agent Skill Ecosystem Explodes, Claude's Capability Boundaries Keep Expanding
GitHub Trending July 27: AI Agent Skills explode as claude-video, impeccable, and last30days-skill extend model capabilities without modifying models themselves.
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·3 min
Multi-Agent AI Paper Writing System: A Full-Stack Breakdown of FastAPI + Vue3
A deep dive into an AI paper writing system built with FastAPI + Vue3, covering multi-agent collaboration, RAG, streaming output, and full academic workflow automation.
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·7 min
Context Engineering: A Systematic Approach to Stop AI Agents from 'Talking Nonsense'
Context engineering is the core methodology for building efficient AI Agents, covering query enhancement, RAG retrieval, prompt design, memory management, and tool invocation. Master Write, Select, Compress, and Isolate to solve LLM hallucination at its root.
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·3 min
Qwen 3.8 Open Source Incoming, DeepSeek Coding Agent, and the Latest in China's AI Ecosystem
Qwen 3.8 open source incoming, DeepSeek Resonics native coding agent debuts, Kimi pauses new subscriptions amid compute pressure, and Qiyimole shows domestic GPU interconnect solution at WAIC.
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·2 min
Dependency Drift in Production AI Agents: Detection, Response, and Building Resilient Systems
AI Agents in production face systemic dependency drift risks — model updates silently change outputs and silent failures are hard to detect. Learn detection strategies, hidden costs, and engineering practices.
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GitHub Daily · July 21: The Agent Skil…
·3 min
GitHub Daily · July 21: The Agent Skills Ecosystem Explodes, Intelligence Dashboard Tops the Charts
GitHub Trending July 21: The Agent Skills ecosystem explodes as pluggable skill packs top the charts, MCP becomes the de facto standard, and ai-agent-book surges 4,434 stars in a day.
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AI Agent Autonomous Repair Systems: Wh…
·2 min
AI Agent Autonomous Repair Systems: Where to Draw the Line Between Convenience and Loss of Control
When AI Agents are authorized to autonomously repair production systems, what real risks lurk behind "pray-and-operate"? A deep dive into loss-of-control dangers and practical safety principles including least privilege, human-in-the-loop, and rollback.
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·3 min
Why AI Agents Fail: Build Your Business System Before You Automate
90% of AI agents fail not because of technology, but due to missing business systems. Learn the 3 essentials for reliable AI agents and how to build real workflows with Google Drive + N8N.
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·2 min
Karma: An AI Coding Agent Orchestration Tool for Building Multi-Agent Collaborative Systems
Karma is an orchestration layer for AI coding agent frameworks, solving multi-agent collaboration, task decomposition, state management, and observability challenges. Compatible with Aider, OpenHands, and more.
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AI Coding Agents Have Amnesia — An Ope…
·2 min
AI Coding Agents Have Amnesia — An Open-Source SSH-Synced Memory System Wants to Fix That
Tired of AI coding agents forgetting everything? Explore an open-source SSH-synced memory system that lets Cursor, Claude Code, and other agents retain project context across sessions and devices — no cloud required.
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·3 min
From RAG to Agent: A Complete Architecture Guide for AI-Native Systems
A comprehensive guide to modern AI-native system architecture: LLM reasoning, three RAG paradigms (vector/knowledge graph/BM25), Agents, MCP tool calling, AI gateways, and observability for enterprise AI.
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·3 min
Flova All-in-One Agent: A Systematic Solution to Character Consistency in AI Short Drama Production
Flova's AI-native Agent solves character consistency in serialized AI short dramas through a document system, asset library, and end-to-end workflow — from script to final video.
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·2 min
AI Agent Out of Control? A Practical Guide to Building Traceable Multi-Agent Systems
Agent loops burning money, bills spiking unexpectedly? This article breaks down a traceable multi-agent system covering loop detection, behavior classification, cost prediction, and self-healing.
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·4 min
LangChain in Practice: Mastering the Four Core Modules of the Agent Ecosystem
A deep dive into LangChain's four core modules: LangChain components, LangGraph orchestration, Deep Agents, and LangSmith. Build your first Agent from scratch.
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·6 min
AI Agent Security in Practice: 7 Attack Techniques and a Five-Layer Defense System
An in-depth breakdown of the 7 major attack techniques against AI agents (prompt injection, data poisoning, image attacks, etc.) and a five-layer defense system, with real cases from Doubao and DeepSeek.
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·4 min
AIML Capstone Project Selection: Is a Multi-Agent Debate System Worth Building?
Torn over your capstone topic? This article analyzes the academic value, feasibility, and innovation potential of a Multi-agent Debate system to help AIML students decide.
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