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32 articles · Page 1 of 1
AI Architecture Path
AI Architecture Path
Jun 27, 2026 · Backend Development

Turn Your AI Agent into a Web‑Data Pro with Firecrawl’s 139K‑Star Open‑Source Scraper

Firecrawl is a 139K‑star open‑source web‑scraping API that handles dynamic JavaScript pages, full‑site crawling, search, and interactive browsing, offers built‑in proxy rotation and LLM‑ready Markdown/JSON output, and provides detailed code samples and deployment guides that outperform traditional tools like Scrapy and Selenium.

AI agentsFirecrawlLLM integration
0 likes · 12 min read
Turn Your AI Agent into a Web‑Data Pro with Firecrawl’s 139K‑Star Open‑Source Scraper
Amazon Cloud Developers
Amazon Cloud Developers
Jun 2, 2026 · Artificial Intelligence

Quickly Get Started with OpenAI GPT‑5.5, GPT‑5.4, and Codex on Amazon Bedrock

Amazon Bedrock now offers OpenAI’s latest GPT‑5.5, GPT‑5.4, and Codex models, and this guide walks developers through enabling the Responses API, configuring environment variables, installing the OpenAI SDK, and running Python or curl examples, while highlighting performance characteristics, scaling behavior, and best‑practice settings.

Amazon BedrockCodexGPT-5.4
0 likes · 9 min read
Quickly Get Started with OpenAI GPT‑5.5, GPT‑5.4, and Codex on Amazon Bedrock
Amazon Cloud Developers
Amazon Cloud Developers
May 20, 2026 · Artificial Intelligence

AgentCore Memory’s Philosophy: Teaching Agents to Forget and Remember What Matters

This article explains Amazon Bedrock AgentCore Memory’s two‑layer design that separates raw interactions from extracted insights, details built‑in, override and self‑managed strategies, shows Python configuration and three demo scenarios that illustrate cross‑session continuity, semantic deduplication, and episodic reflection, and discusses namespace organization, retrieval settings, and failure handling.

AI agentsAgentCoreAmazon Bedrock
0 likes · 12 min read
AgentCore Memory’s Philosophy: Teaching Agents to Forget and Remember What Matters
21CTO
21CTO
May 3, 2026 · Artificial Intelligence

Mistral AI Unveils Enterprise Workflows: 7 Powerful AI Success Cases

Mistral AI announced the public preview of its enterprise‑grade Workflows orchestration layer, built on Temporal, offering Python‑defined, persistent, observable AI pipelines with human‑in‑the‑loop approvals, hybrid deployment, and real‑world use cases ranging from cargo release to compliance checks.

AI workflowsEnterprise AIMistral AI
0 likes · 14 min read
Mistral AI Unveils Enterprise Workflows: 7 Powerful AI Success Cases
MaGe Linux Operations
MaGe Linux Operations
Apr 21, 2026 · Artificial Intelligence

How MCP Turns AI Models into a Universal USB Interface

Introducing MCP (Model Context Protocol), an open standard released by Anthropic that unifies AI model interaction with external tools, databases, and services through a USB‑like interface, the article dissects its design goals, architecture, message types, Python SDK implementation, client integration, production best practices, and future roadmap.

AI protocolMCPPython SDK
0 likes · 18 min read
How MCP Turns AI Models into a Universal USB Interface
AI Waka
AI Waka
Apr 15, 2026 · Artificial Intelligence

How Claude Managed Agents Simplify Building AI Agents

Claude Managed Agents provides a fully managed cloud environment that handles agent loops, tool execution, context management, and session continuity, allowing developers to define an agent once and let Anthropic’s runtime take care of the rest, dramatically reducing infrastructure overhead.

AI agentsAgent workflowAnthropic
0 likes · 13 min read
How Claude Managed Agents Simplify Building AI Agents
SuanNi
SuanNi
Apr 13, 2026 · Artificial Intelligence

Deploy Qwen3 8B Model with vLLM: Step‑by‑Step Guide for Remote Inference

This guide walks you through deploying Alibaba’s open‑source Qwen‑3 8B model on the SumW platform using vLLM, covering environment activation, server launch with OpenAI‑compatible parameters, SSH tunneling for remote access, and Python client calls, while highlighting key configuration tips and common pitfalls.

Model DeploymentOpenAI APIPython SDK
0 likes · 6 min read
Deploy Qwen3 8B Model with vLLM: Step‑by‑Step Guide for Remote Inference
AI Explorer
AI Explorer
Mar 26, 2026 · Artificial Intelligence

LiteLLM: A Unified Gateway for Over 100 LLM APIs

LiteLLM provides a single Python SDK and proxy server that let developers call more than 100 large‑language‑model APIs with a uniform OpenAI‑style interface, handling cost tracking, load balancing, rate limiting, and detailed logging to simplify multi‑model experimentation and production deployments.

AI gatewayLLM integrationLiteLLM
0 likes · 6 min read
LiteLLM: A Unified Gateway for Over 100 LLM APIs
AI Explorer
AI Explorer
Mar 9, 2026 · Artificial Intelligence

OpenSandbox: Alibaba’s Open‑Source AI Sandbox Platform for Secure Agent Execution

OpenSandbox, Alibaba’s newly open‑sourced sandbox platform, offers a standardized, strongly isolated, and easily managed environment for AI agents, supporting multi‑language SDKs, Docker and Kubernetes runtimes, and enterprise‑grade security features, with a quick Python‑SDK demo to illustrate its use.

AI agentsAI sandboxDocker
0 likes · 7 min read
OpenSandbox: Alibaba’s Open‑Source AI Sandbox Platform for Secure Agent Execution
AI Explorer
AI Explorer
Mar 2, 2026 · Artificial Intelligence

OpenSandbox: Alibaba’s Open‑Source AI Sandbox for Secure, Scalable Agent Execution

OpenSandbox, an open‑source sandbox platform from Alibaba, offers a unified, secure, and extensible execution environment for AI agents, code execution, and reinforcement‑learning workloads, leveraging Docker and high‑performance Kubernetes runtimes, with multi‑language SDKs and fine‑grained network controls.

AI agentsAI sandboxDocker
0 likes · 7 min read
OpenSandbox: Alibaba’s Open‑Source AI Sandbox for Secure, Scalable Agent Execution
Alibaba Cloud Native
Alibaba Cloud Native
Feb 12, 2026 · Cloud Native

Why All‑In‑One Sandbox Beats Traditional Sandboxes: A Deep Dive into AgentRun’s Cloud‑Native Solution

This article explains how AgentRun’s All‑In‑One (AIO) sandbox integrates browser, shell, and code execution into a single cloud‑native container, eliminating file‑sharing headaches, simplifying tool coordination, reducing environment setup complexity, and cutting both memory usage and network latency for AI‑driven automation tasks.

AgentRunAll-In-One SandboxPuppeteer
0 likes · 24 min read
Why All‑In‑One Sandbox Beats Traditional Sandboxes: A Deep Dive into AgentRun’s Cloud‑Native Solution
AI Large Model Application Practice
AI Large Model Application Practice
Jan 13, 2026 · Artificial Intelligence

Why MemOS Is the Next‑Generation Memory OS for AI Agents

This article explains MemOS’s novel approach to treating AI memory as an operating‑system resource, detailing its layered architecture, core modules, three memory forms, and practical SDK usage for cloud or self‑hosted deployments, while highlighting performance benefits and engineering constraints.

AI memoryKnowledge BaseMemOS
0 likes · 17 min read
Why MemOS Is the Next‑Generation Memory OS for AI Agents
Aikesheng Open Source Community
Aikesheng Open Source Community
Dec 16, 2025 · Databases

How to Build Predictive and Generative AI Apps with MySQL AI

MySQL AI adds built‑in LLMs, embeddings, vector storage, AutoML and a graphical console to on‑premise MySQL, enabling developers to create predictive and generative AI applications—including fraud detection, semantic search, RAG and NL2SQL—without external vector databases or GPUs.

AutoMLGenerative AIMySQL AI
0 likes · 15 min read
How to Build Predictive and Generative AI Apps with MySQL AI
DeWu Technology
DeWu Technology
Dec 8, 2025 · Artificial Intelligence

Unlocking Model Context Protocol (MCP): A Deep Dive into AI‑Database Integration

This article provides a comprehensive technical overview of the Model Context Protocol (MCP), an open‑standard JSON‑RPC 2.0 protocol that enables large language models to securely interact with external data sources, tools, and services, detailing its design, architecture, Python SDK implementation, transport mechanisms, and real‑world deployment examples such as the DW‑DBA‑MCP project.

LLMMCPModel Context Protocol
0 likes · 45 min read
Unlocking Model Context Protocol (MCP): A Deep Dive into AI‑Database Integration
Amazon Cloud Developers
Amazon Cloud Developers
Oct 29, 2025 · Artificial Intelligence

How Amazon Nova’s Multimodal Embedding Model Handles All Modalities in One Go

Amazon Nova, a new multimodal embedding model now available on Amazon Bedrock, unifies text, document, image, video, and audio into a single semantic space, offering up to 8000‑token context, multiple output dimensions, and detailed Python examples for embedding generation, storage, and cross‑modal search.

AWS BedrockAmazon NovaPython SDK
0 likes · 19 min read
How Amazon Nova’s Multimodal Embedding Model Handles All Modalities in One Go
dbaplus Community
dbaplus Community
Oct 26, 2025 · Artificial Intelligence

How MCP Turns AI into a Universal Plug‑In: A Deep Dive into Model Context Protocol

This article explains the Model Context Protocol (MCP) – an open, universal standard that lets large language models seamlessly interact with external tools and data – covering its core architecture, why it’s needed, underlying principles, tool‑selection mechanics, a step‑by‑step Python server implementation, and practical usage tips.

AI integrationLLMMCP
0 likes · 20 min read
How MCP Turns AI into a Universal Plug‑In: A Deep Dive into Model Context Protocol
Amazon Cloud Developers
Amazon Cloud Developers
Sep 12, 2025 · Artificial Intelligence

Fine‑Tune Amazon Nova Canvas in 12 Hours for Consistent, Cohesive AI Storyboards (Part 2)

This guide shows how to fine‑tune the Amazon Nova Canvas foundation model on Amazon Bedrock using a 12‑hour workflow that extracts character frames from video with Amazon Rekognition, prepares labeled data, configures hyper‑parameters, creates a custom model, deploys it with provisioned throughput, and tests the model to generate coherent storyboard images, while also covering cleanup steps to avoid ongoing costs.

AI storyboardAmazon BedrockAmazon Nova Canvas
0 likes · 17 min read
Fine‑Tune Amazon Nova Canvas in 12 Hours for Consistent, Cohesive AI Storyboards (Part 2)
Software Engineering 3.0 Era
Software Engineering 3.0 Era
Mar 11, 2025 · Artificial Intelligence

Everything You Need to Know About the AI Interoperability Standard MCP

The article explains how the Model Context Protocol (MCP), an open standard released by Anthropic, provides a unified client‑server architecture, SDKs, and best‑practice guidelines that let large language models seamlessly connect to diverse data sources, tools, and services, transforming AI agent development.

AI agentsAI interoperabilityModel Context Protocol
0 likes · 11 min read
Everything You Need to Know About the AI Interoperability Standard MCP
21CTO
21CTO
May 23, 2024 · Artificial Intelligence

How xAI’s Grok 1.5V Adds Multimodal Image Input for Developers

xAI’s Grok 1.5V is set to support multimodal image input, allowing developers to upload pictures and receive text‑based answers via the Python SDK, marking a major upgrade that narrows the gap with leading models like GPT‑4 and signals a new frontier for AI chatbots.

AI chatbotsGrokMultimodal AI
0 likes · 4 min read
How xAI’s Grok 1.5V Adds Multimodal Image Input for Developers
DataFunTalk
DataFunTalk
Mar 28, 2023 · Artificial Intelligence

FeatHub: An Open‑Source Feature Store for Real‑Time and Offline Feature Engineering

This article introduces FeatHub, an open‑source feature‑store project from Alibaba Cloud that provides a Python SDK, flexible architecture, and execution engines such as Flink and Spark to simplify the development, deployment, monitoring, and sharing of real‑time and offline machine‑learning features across multi‑cloud environments.

Feature StoreFlinkPython SDK
0 likes · 21 min read
FeatHub: An Open‑Source Feature Store for Real‑Time and Offline Feature Engineering
IT Architects Alliance
IT Architects Alliance
Jul 29, 2021 · Cloud Computing

An Overview of Tencent Cloud Message Queue (CMQ): Architecture, Features, and Practical Use Cases

This article introduces Tencent Cloud Message Queue (CMQ), explains its underlying architecture and reliability mechanisms, compares it with Kafka and RabbitMQ, and demonstrates several practical scenarios such as broadcast‑pull model, long‑polling, delayed messages, message rewind, topic routing, large‑message handling, and encryption, accompanied by Python SDK code examples.

CMQMessage EncryptionMessage Queue
0 likes · 11 min read
An Overview of Tencent Cloud Message Queue (CMQ): Architecture, Features, and Practical Use Cases