[KongchangAI]

#AI Agent

1115 related articles

Week 3 of an LLM Autonomous Money-Making Experiment: 7 Technical Replies, Still $0 in Revenue
·3 min

Week 3 of an LLM Autonomous Money-Making Experiment: 7 Technical Replies, Still $0 in Revenue

Week 3 of an AI agent experiment powered by Claude Code: 7 GitHub technical replies sent, 3 adopted into others' code, but revenue still $0. A breakdown of methodology, five failure points, and lessons for autonomous AI operations.

Read more →
How Multi-Agent AI Is Reshaping Incident Debugging: From Logs to Root Cause
·3 min

How Multi-Agent AI Is Reshaping Incident Debugging: From Logs to Root Cause

An open-source project shows how three AI agents — log parser, hypothesis generator, evidence validator — build a multi-agent RCA system that investigates incidents like an engineer, not just explains errors.

Read more →
AI Estates: Building Persistent Identities and Creative Homes for AI Agents
·1 min

AI Estates: Building Persistent Identities and Creative Homes for AI Agents

AI Estates (Project Luna) is an early prototype building persistent identities and creative homes for AI agents, exploring governance mechanisms like revocable agent access permissions.

Read more →
Betrox AI: OS-Level Automation with a Multi-Worker Agent Architecture
·2 min

Betrox AI: OS-Level Automation with a Multi-Worker Agent Architecture

Betrox AI is a multi-worker autonomous agent system that breaks down a single natural language instruction via a central manager agent to execute OS-level automation across desktop apps, browsers, terminals, and files — with visual grounding for verification.

Read more →
BrAIn Browser: A Lightweight AI-Powered Browser with a Built-in MCP Server
·2 min

BrAIn Browser: A Lightweight AI-Powered Browser with a Built-in MCP Server

BrAIn is a lightweight desktop browser with a built-in MCP server. One line of config gives your AI Agent dozens of browser tools — with real-time visibility, pause controls, risk interception, and reusable flows.

Read more →
Building a Customer Support Email Triage AI Agent with Human Approval
·3 min

Building a Customer Support Email Triage AI Agent with Human Approval

Build a Node.js AI agent that triages support emails with human approval: model proposes, humans approve, executor acts — with idempotency keys, stale checks, and atomic status updates guarding irreversible operations.

Read more →
Building a Persistent Memory System for AI Agents with Supabase
·3 min

Building a Persistent Memory System for AI Agents with Supabase

A hands-on Supabase tutorial for building a persistent, recallable, and forgettable memory system for AI agents — covering Postgres schema, RLS, a TypeScript adapter, and bounded recall. 26/26 tests pass. Runnable repo included.

Read more →
AI Agents Need "Execution Receipts": Replacing "Trust Me" with Cryptographic Verification
·2 min

AI Agents Need "Execution Receipts": Replacing "Trust Me" with Cryptographic Verification

AI Agents only say "Done" — but can they prove it? This article explains Execution Receipts: using Merkle trees and cryptographic hashes to seal every tool call, turning AI work from "trust me" to verifiable.

Read more →
5 Key Questions to Ask Any AI Agent Verification Vendor
·3 min

5 Key Questions to Ask Any AI Agent Verification Vendor

Cut through "verifiable agent" marketing hype with 5 technical questions covering zero-trust verification, proof boundaries, open formats, offline survival, and execution-layer capture.

Read more →
LLM Tool Misselection in Practice: Using the pre_gateway_dispatch Hook to Fix Voice Memo Skill Routing
·2 min

LLM Tool Misselection in Practice: Using the pre_gateway_dispatch Hook to Fix Voice Memo Skill Routing

Real engineering debug log: Qwen model in Hermes Agent misroutes voice memo commands to the memory tool. A pre_gateway_dispatch hook fixes skill activation from 0/3 to 3/3.

Read more →
Codex, Claude Code, and Agent Skills: A Practical Guide to AI-Driven Engineering
·2 min

Codex, Claude Code, and Agent Skills: A Practical Guide to AI-Driven Engineering

A practical guide to Codex, Claude Code, and Agent Skills in AI-driven engineering — covering code generation, Agent workflows, and team practices for developers.

Read more →
Build a Local MCP Server in 10 Minutes: Python-Powered AI Agent Tool Integration
·2 min

Build a Local MCP Server in 10 Minutes: Python-Powered AI Agent Tool Integration

Learn how to build a local MCP server in pure Python in 10 minutes, implement three file tools, connect to Cursor, and enforce server-side security controls for AI Agents.

Read more →
AI Agents Break Free from Isolation: Busabase's Open-Source Database Makes Outputs Reusable
·1 min

AI Agents Break Free from Isolation: Busabase's Open-Source Database Makes Outputs Reusable

Busabase launches an MIT open-source AI Agent database and workspace, turning ephemeral chat outputs into reusable team assets — data, docs, and skills — for persistent, shared knowledge.

Read more →
Building n8n Automation Workflows with Claude Code Using Natural Language
·1 min

Building n8n Automation Workflows with Claude Code Using Natural Language

By connecting Claude Code to n8n's MCP server, users can build and maintain AI Agent workflows using natural language — no manual node configuration required.

Read more →
MCP Tool Servers and AI Visibility: The New Battlefield Beyond SEO Rankings
·2 min

MCP Tool Servers and AI Visibility: The New Battlefield Beyond SEO Rankings

If ChatGPT never names your brand, a #1 SERP ranking won't save you. Explore MCP tool servers, typed JSON schemas, two-phase dry runs, and how to quantify AI brand visibility.

Read more →
World Intel MCP: The Open-Source Powerhouse for Giving AI Agents Real-Time Global Intelligence
·1 min

World Intel MCP: The Open-Source Powerhouse for Giving AI Agents Real-Time Global Intelligence

World Intel MCP Server is a free open-source project giving AI Agents real-time global intelligence via 132 MCP tools across 30+ domains, with vector DB and dashboard included.

Read more →
AI Agents for Bug Bounty Hunting: How Intelligent Agents Are Disrupting the Classic 3-Step SRC Methodology
·2 min

AI Agents for Bug Bounty Hunting: How Intelligent Agents Are Disrupting the Classic 3-Step SRC Methodology

How do AI Agents transform SRC bug bounty hunting? This article breaks down the classic 3-step method's pain points and explains how intelligent agents reshape recon, false-positive filtering, tool execution, and report generation.

Read more →
AIGC in Practice: A Complete Guide from Content Generation to RAG and AI Agent Development
·3 min

AIGC in Practice: A Complete Guide from Content Generation to RAG and AI Agent Development

A systematic breakdown of two AIGC deployment tracks: 2C content generation (text/image/video monetization) and 2B enterprise apps (RAG, AI Agent, LLM integration), with real-world case studies.

Read more →