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Old Zhang's AI Learning
Old Zhang's AI Learning
May 19, 2026 · Artificial Intelligence

ByteDance’s Agent Plan Enhances Hermes Agent and Claude Code with Models, Seedance Skills, and Web Search

The article examines Volcano Engine’s new Agent Plan, detailing how its bundled flagship models, Seedance image and video generation skills, web‑search and memory capabilities streamline tasks such as browser‑plugin replication, data‑analysis report creation, full‑stack web dashboards, PDF translation, PPT generation, and Three.js visualizations within Claude Code and Hermes Agent, while comparing it to the earlier Coding Plan model.

AI agentsAgent PlanByteDance
0 likes · 8 min read
ByteDance’s Agent Plan Enhances Hermes Agent and Claude Code with Models, Seedance Skills, and Web Search
IT Services Circle
IT Services Circle
May 8, 2026 · Industry Insights

Microsoft's Push for 32 GB Gaming PCs Sparks Global Backlash

Microsoft recently declared 32 GB of RAM the new standard for PC gaming in 2026, relegating 16 GB to a bare minimum, but the announcement triggered worldwide criticism as hardware prices soar, Steam data shows 16 GB still dominates, and many gamers argue the move unfairly shifts cost to consumers.

GamingHardwareMemory
0 likes · 6 min read
Microsoft's Push for 32 GB Gaming PCs Sparks Global Backlash
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 AgentLLMMemory
0 likes · 6 min read
190 Must-Read AI Agent Papers + 321 Google Implementation Cases – Free Resource Pack
FunTester
FunTester
May 6, 2026 · Fundamentals

How to Turn AI-Generated Knowledge into Long-Term Memory

The article explains why rapid AI‑driven information consumption often fails to create lasting memory, outlines the three core mechanisms of encoding, retrieval, and reconstruction, and offers a four‑step workflow plus practical AI usage tips to transform fleeting learning into durable knowledge.

AIMemorycognitive science
0 likes · 10 min read
How to Turn AI-Generated Knowledge into Long-Term Memory
Deepin Linux
Deepin Linux
May 6, 2026 · Fundamentals

Master Linux Memory Performance: From Theory to Real‑World Optimization

This article systematically breaks down Linux's core memory mechanisms, identifies common performance bottlenecks, and demonstrates how to use tools like numastat, perf, and Valgrind together with kernel parameters such as swappiness and min_free_kbytes to achieve practical memory optimizations.

KernelLinuxMemory
0 likes · 55 min read
Master Linux Memory Performance: From Theory to Real‑World Optimization
FunTester
FunTester
May 5, 2026 · Artificial Intelligence

Is AI Undermining Our Long‑Term Memory?

While AI dramatically boosts efficiency in drafting, coding, and research, the author warns that over‑reliance can disrupt the slow, effortful process of turning new information into long‑term memory, leading to superficial understanding and a hidden decline in true cognitive ability.

AIMemorycognitive process
0 likes · 13 min read
Is AI Undermining Our Long‑Term Memory?
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 AgentActorContext Engineering
0 likes · 11 min read
Why Every AI Product Manager Must Master Agent Architecture
Data Party THU
Data Party THU
May 1, 2026 · Artificial Intelligence

Scaling Large-Scale Agent Networks: A Review of Topology, Memory, and Updates

This review examines why some large‑scale multi‑agent systems remain stable while others falter, introducing a three‑dimensional taxonomy—topology, memory scope, and update behavior—to explain scalability limits and highlighting world‑model inconsistency as a deeper bottleneck than communication protocols.

MemoryScalabilitydynamic updates
0 likes · 9 min read
Scaling Large-Scale Agent Networks: A Review of Topology, Memory, and Updates
AI Illustrated Series
AI Illustrated Series
Apr 28, 2026 · Artificial Intelligence

Comprehensive Interview Guide: LangChain & LangGraph Frameworks

This article provides a detailed, question‑and‑answer style walkthrough of LangChain and LangGraph, covering their core concepts, components, workflow patterns, memory mechanisms, LCEL syntax, graph construction, conditional edges, loops, multi‑agent collaboration, persistence, and a comparison with LlamaIndex, offering concrete code examples and practical insights for AI interview preparation.

AI FrameworkAgentLCEL
0 likes · 32 min read
Comprehensive Interview Guide: LangChain & LangGraph Frameworks
MeowKitty Programming
MeowKitty Programming
Apr 27, 2026 · Artificial Intelligence

Java AI Agents: Beyond Tool Calls to Memory Layers

The article explains that recent Spring AI updates—AutoMemoryTools and the Session API—introduce long‑term and short‑term memory capabilities, arguing that Java AI agents must shift focus from merely invoking tools to managing context and memory to become reliable production systems.

AI agentsAutoMemoryToolsJava
0 likes · 6 min read
Java AI Agents: Beyond Tool Calls to Memory Layers
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 AgentLangChainMemory
0 likes · 15 min read
Build Your First LangChain Agent: A Hands‑On Framework Tutorial
James' Growth Diary
James' Growth Diary
Apr 25, 2026 · Artificial Intelligence

LangChain Memory Best Practices: Avoid Common Pitfalls and Choose the Right Module

This article dissects the most frequent LangChain Memory pitfalls—missing placeholders, wrong memory type, shared instances, and multi‑process issues—provides correct code patterns, compares the five built‑in memory classes, introduces the new RunnableWithMessageHistory approach, and offers a production‑ready checklist.

ChatOpenAIConversationSummaryBufferMemoryLLMChain
0 likes · 12 min read
LangChain Memory Best Practices: Avoid Common Pitfalls and Choose the Right Module
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 AgentMemoryPlanning
0 likes · 11 min read
How Agents Work: Inside Their Perception, Planning, Action, and Memory
Data Party THU
Data Party THU
Apr 25, 2026 · Artificial Intelligence

Google & Microsoft Harnesses: Core LLM Post‑Training Methods and 2025‑2026 Trends

These two recent papers—Microsoft’s M⋆, which evolves task‑specific memory harnesses, and Google’s AutoHarness, which automatically generates code‑level constraints—demonstrate reflective code evolution and tree‑search synthesis, achieving state‑of‑the‑art performance across diverse benchmarks and outlining LLM post‑training directions for 2025‑2026.

AgentAutoHarnessHarness
0 likes · 10 min read
Google & Microsoft Harnesses: Core LLM Post‑Training Methods and 2025‑2026 Trends
Machine Heart
Machine Heart
Apr 21, 2026 · Artificial Intelligence

How Externalization Drives the Evolution of LLM Agents – Insights from a 54‑Page SJTU Review

A recent 54‑page arXiv review by Shanghai Jiao Tong University and collaborators argues that the reliability gains of LLM agents stem more from externalizing memory, skills, protocols, and harness infrastructure than from scaling the underlying model, outlining three structural mismatches and a unified externalization framework.

ExternalizationHarnessLLM agents
0 likes · 13 min read
How Externalization Drives the Evolution of LLM Agents – Insights from a 54‑Page SJTU Review
ZhiKe AI
ZhiKe AI
Apr 19, 2026 · Artificial Intelligence

What Is an AI Agent? A 3‑Minute Beginner’s Guide

An AI Agent is a large‑model system that can perceive its environment, plan steps, invoke tools, and remember past interactions to autonomously achieve user‑specified goals, distinguishing it from simple chatbots that only answer questions.

AI AgentAutomationLarge Model
0 likes · 6 min read
What Is an AI Agent? A 3‑Minute Beginner’s Guide
AI Architecture Path
AI Architecture Path
Apr 19, 2026 · Artificial Intelligence

How Hermes Agent Becomes the Next‑Gen AI Assistant That Grows With You

Hermes Agent, an open‑source, self‑evolving AI agent framework from Nous Research, tackles the major pain points of current AI tools—memory loss, static skills, limited deployment, and fragmented ecosystems—by offering autonomous learning loops, three‑layer persistent memory, a self‑optimising skill system, and seamless multi‑platform integration.

AI AgentAutomationMemory
0 likes · 12 min read
How Hermes Agent Becomes the Next‑Gen AI Assistant That Grows With You
Test Development Learning Exchange
Test Development Learning Exchange
Apr 17, 2026 · Artificial Intelligence

Hermes Agent vs OpenClaw 2026: Which Open‑Source AI Assistant Fits Your Needs?

In the booming 2026 AI agent ecosystem, Hermes Agent and OpenClaw dominate with over 670,000 combined GitHub stars, and this guide compares them across twelve dimensions—including architecture, memory, security, ecosystem, deployment, and use‑case suitability—to help users decide which open‑source assistant aligns with their workflow and technical requirements.

AI agentsComparisonHermes Agent
0 likes · 8 min read
Hermes Agent vs OpenClaw 2026: Which Open‑Source AI Assistant Fits Your Needs?
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Apr 17, 2026 · Artificial Intelligence

AI Coding Skill Library with Built‑In Memory and Self‑Learning

The article analyzes the recurring problem that AI assistants forget project context and fail to retain lessons across sessions, and proposes a two‑part solution—a persistent memory stored in repository files and an explicit self‑learning workflow—that makes AI collaboration transparent, maintainable, and reusable for engineering teams.

AI programmingMemorySoftware Engineering
0 likes · 9 min read
AI Coding Skill Library with Built‑In Memory and Self‑Learning
Tech Verticals & Horizontals
Tech Verticals & Horizontals
Apr 15, 2026 · Artificial Intelligence

How Hermes Enables AI to Remember, Learn, and Grow Autonomously

The article dissects Hermes’s autonomous learning loop, detailing how immutable facts are stored in long‑term memory, reusable methods become skills, session history is searchable, and a background review process periodically consolidates knowledge while a pre‑compression rescue safeguards key information.

AIHermesMemory
0 likes · 15 min read
How Hermes Enables AI to Remember, Learn, and Grow Autonomously
Ops Community
Ops Community
Apr 15, 2026 · Operations

Why Do Linux Processes Vanish? A Complete Troubleshooting Guide

This article systematically explains why Linux processes may disappear, covering OOM Killer, signal termination, cgroup limits, systemd timeouts, manual kills, and provides step‑by‑step diagnostic commands and preventive measures for RHEL, AlmaLinux, and Ubuntu environments.

LinuxMemoryOOM killer
0 likes · 26 min read
Why Do Linux Processes Vanish? A Complete Troubleshooting Guide
ITPUB
ITPUB
Apr 14, 2026 · Operations

Mastering Java Service Performance: Diagnose CPU, Memory, IO & Network Issues

This guide walks you through systematic troubleshooting of Java service performance problems—covering CPU spikes, memory leaks, GC pauses, disk I/O anomalies, and network bottlenecks—by explaining key metrics, command‑line tools, visual profilers, and practical code examples.

CPUJavaLinux
0 likes · 12 min read
Mastering Java Service Performance: Diagnose CPU, Memory, IO & Network Issues
PaperAgent
PaperAgent
Apr 13, 2026 · Artificial Intelligence

How Externalizing Memory, Skills, and Protocols Powers Next‑Gen LLM Agents

This article reviews recent research on externalizing the cognitive load of LLM agents into structured infrastructure, covering the evolution from weight‑based models to context‑rich prompts and finally to Harness systems, and detailing the four externalization dimensions—memory, skills, protocols, and the Harness engineering layer.

ExternalizationMemoryProtocols
0 likes · 11 min read
How Externalizing Memory, Skills, and Protocols Powers Next‑Gen LLM Agents
Lao Guo's Learning Space
Lao Guo's Learning Space
Apr 11, 2026 · Artificial Intelligence

2026 AI Agent Showdown: Hermes Agent vs OpenClaw – Which Is the Real Future?

This article provides a detailed side‑by‑side evaluation of Hermes Agent and OpenClaw, covering their architecture, skill systems, memory mechanisms, model support, execution environments, programming capabilities, installation costs, migration tools, and offers a decision tree to help users choose the most suitable AI agent for their workflows.

AI AgentExecution EnvironmentHermes Agent
0 likes · 19 min read
2026 AI Agent Showdown: Hermes Agent vs OpenClaw – Which Is the Real Future?
DataFunSummit
DataFunSummit
Apr 10, 2026 · Artificial Intelligence

How Can AI Agents Truly Remember? A Deep Dive into Long‑Term Memory Engineering

This article examines the shortcomings of current AI assistants, outlines the ideal of long‑term memory engineering, reviews mainstream industry solutions such as hard‑context models and Retrieval‑Augmented Generation, proposes a four‑layer memory loop architecture, and looks ahead to online learning and collective intelligence for future agents.

AIAgentHybrid Architecture
0 likes · 15 min read
How Can AI Agents Truly Remember? A Deep Dive into Long‑Term Memory Engineering
AI Step-by-Step
AI Step-by-Step
Apr 3, 2026 · Artificial Intelligence

Why Building AI Agents Requires a Full System‑Engineering Harness

The article explains that simply scaling large language models cannot sustain long‑running, production‑grade AI agents, and that a dedicated Agent Harness—acting as an operating system with orchestration, memory, governance, tool execution, and feedback loops—is essential for reliable, industrial‑scale automation.

AI agentsAgent HarnessLLM
0 likes · 9 min read
Why Building AI Agents Requires a Full System‑Engineering Harness
ArcThink
ArcThink
Apr 2, 2026 · Artificial Intelligence

Why LLMs Forget You: Uncovering the Limits and Solutions for Long‑Term Memory

The article explains why large language models lack persistent memory due to the stateless Transformer architecture, breaks down the four dimensions of memory loss, surveys seven technical approaches, three product implementations, and emerging research, and discusses security and privacy implications.

AILLMLong-term Memory
0 likes · 22 min read
Why LLMs Forget You: Uncovering the Limits and Solutions for Long‑Term Memory
AI Tech Publishing
AI Tech Publishing
Mar 31, 2026 · Artificial Intelligence

Step‑by‑Step Guide to Building Your First AI Agent from Scratch (Full Code Included)

This comprehensive guide walks you through the fundamentals of AI agents, explains the core agent loop, compares workflow patterns with autonomous agents, and provides a practical five‑step process—including tool design, memory handling, testing, and multi‑agent collaboration—complete with real code examples for Anthropic and OpenAI SDKs.

AI AgentLLMMemory
0 likes · 22 min read
Step‑by‑Step Guide to Building Your First AI Agent from Scratch (Full Code Included)
AI Engineer Programming
AI Engineer Programming
Mar 25, 2026 · Artificial Intelligence

What Is an AI Agent? Definition, Core Capabilities, and Architecture

The article explains AI agents as autonomous systems that perceive environments, plan, use tools, iterate through action loops, and self‑reflect, contrasting them with traditional chatbots and workflows, and outlines their core abilities, memory types, tool‑use mechanisms, and single‑ versus multi‑agent architectures.

AI AgentMemoryMulti-Agent
0 likes · 8 min read
What Is an AI Agent? Definition, Core Capabilities, and Architecture
PaperAgent
PaperAgent
Mar 22, 2026 · Artificial Intelligence

Can LLM Agents Self‑Evolve Without Retraining? Inside Memento‑Skills

The article analyzes the Memento‑Skills framework, which treats external memory as executable skills to enable deployment‑time continual learning for frozen LLM agents, detailing its read‑write reflective loop, skill‑as‑memory design, behavior‑trained skill router, experimental validation on GAIA and HLE benchmarks, and theoretical guarantees without gradient updates.

AIAgentLLM
0 likes · 9 min read
Can LLM Agents Self‑Evolve Without Retraining? Inside Memento‑Skills
AgentGuide
AgentGuide
Mar 19, 2026 · Artificial Intelligence

What Exactly Is an AI Agent? Complete Interview Guide

This article breaks down the concept of AI agents for interview preparation, covering their definition, core components like planning, memory, and tool use, differences from plain LLM chats, real‑world challenges, typical use cases, detailed component analysis, and a runnable pseudo‑code example.

AI AgentLLMMemory
0 likes · 9 min read
What Exactly Is an AI Agent? Complete Interview Guide
Architect's Ambition
Architect's Ambition
Mar 18, 2026 · Artificial Intelligence

From Zero to a Real AI Agent: Master Its Core Essence, Not Just API Calls

The article explains why an AI Agent is more than a simple LLM API call, outlines its four essential modules—memory, planning, tool use, and feedback—shows how they differ from ordinary models, and offers practical steps and common pitfalls for building a production‑grade single‑agent system.

AI AgentFeedback LoopLLM
0 likes · 13 min read
From Zero to a Real AI Agent: Master Its Core Essence, Not Just API Calls
Java Tech Enthusiast
Java Tech Enthusiast
Mar 18, 2026 · Artificial Intelligence

Demystifying OpenClaw: Agents, RAG, Memory & Skills Explained

This article explains the OpenClaw AI agent framework, detailing how its core Agent follows an Observe‑Plan‑Act loop, how Memory uses SQLite for short‑ and long‑term storage, how RAG retrieves external knowledge, and how Skills replace MCP with modular tool workflows, plus security tips and deployment links.

AI AgentMemoryOpenClaw
0 likes · 14 min read
Demystifying OpenClaw: Agents, RAG, Memory & Skills Explained
SpringMeng
SpringMeng
Mar 14, 2026 · Artificial Intelligence

How Do Skills, MCP, RAG, and Agents Relate in OpenClaw?

The article explains OpenClaw’s four‑layer architecture—Agent, Memory, RAG, and Skills—detailing how each component (including Function Call and MCP) works, how they differ from platforms like Dify, and provides practical security guidelines for running the open‑source AI agent framework.

AI AgentMCPMemory
0 likes · 15 min read
How Do Skills, MCP, RAG, and Agents Relate in OpenClaw?
ByteDance Data Platform
ByteDance Data Platform
Mar 13, 2026 · Artificial Intelligence

Beyond Parameters: How ClawLake Turns Agent Memory into Enterprise‑Level AI Infrastructure

The article explains why an AI agent's capabilities are limited by memory depth rather than model size, reviews three historical memory architectures, highlights their structural shortcomings, and details how the ClawLake solution provides a multi‑layer, multimodal, enterprise‑grade memory infrastructure for OpenClaw agents.

AIAgentEnterprise
0 likes · 17 min read
Beyond Parameters: How ClawLake Turns Agent Memory into Enterprise‑Level AI Infrastructure
Su San Talks Tech
Su San Talks Tech
Mar 12, 2026 · Artificial Intelligence

Demystifying OpenClaw: How Agents, RAG, Memory, and Skills Power AI Automation

OpenClaw is an open‑source AI agent platform that integrates core concepts such as Agents, Retrieval‑Augmented Generation, Memory, Function Calling, and the proprietary Skills protocol, offering a four‑layer architecture, configurable workspaces, SQLite‑backed persistence, and practical deployment guidance while highlighting security best practices.

AI AgentFunction CallingMemory
0 likes · 14 min read
Demystifying OpenClaw: How Agents, RAG, Memory, and Skills Power AI Automation
SuanNi
SuanNi
Mar 9, 2026 · Artificial Intelligence

How Hypernetworks Turn Documents into Instant LLM Skills

This article analyzes the memory and adaptation limits of large language models and presents a hypernetwork‑based approach that instantly converts documents or task descriptions into low‑rank LoRA modules, enabling cheap, on‑demand model updates and cross‑modal knowledge transfer.

AILLMLoRA
0 likes · 9 min read
How Hypernetworks Turn Documents into Instant LLM Skills
AI Insight Log
AI Insight Log
Mar 4, 2026 · Artificial Intelligence

Anthropic Unveils 7 Major Updates This Week – A Full Breakdown

Amid a frenzy of AI headlines, Anthropic quietly released seven substantial product updates across Claude Code, claude.ai, and Cowork, adding 13 enterprise plugins, a private plugin market, cross‑app orchestration, a Chrome Quick Mode that triples speed, remote control, scheduled tasks, auto‑memory, new /simplify and /batch skills, and a free Memory feature with an import tool.

AIAnthropicClaude
0 likes · 13 min read
Anthropic Unveils 7 Major Updates This Week – A Full Breakdown
AI Tech Publishing
AI Tech Publishing
Mar 4, 2026 · Artificial Intelligence

AI Agent Context Management: Comparing Six Major Companies' Approaches

The article analyzes how six leading AI‑agent providers—Manus, Cursor, Anthropic, OpenAI, Google, and LangChain—tackle the fundamental problem of when and how a large language model should see information, detailing each solution, a cross‑company comparison matrix, consensus points, controversies, and open research questions.

AI agentsContext managementLLM
0 likes · 19 min read
AI Agent Context Management: Comparing Six Major Companies' Approaches
Linux Tech Enthusiast
Linux Tech Enthusiast
Feb 26, 2026 · Operations

A Comprehensive Guide to Linux Performance Optimization

This article walks through Linux performance optimization by explaining core metrics such as throughput and latency, describing how to interpret average load, CPU usage, context switches, memory management, and swap, and showing step‑by‑step usage of tools like vmstat, pidstat, perf, and dstat with concrete command examples and analysis cases.

CPULinuxMemory
0 likes · 37 min read
A Comprehensive Guide to Linux Performance Optimization
dbaplus Community
dbaplus Community
Feb 2, 2026 · Operations

Why 1265% CPU in top Isn’t a Crash: Decoding Linux Metrics Correctly

Although a top screenshot may show MySQL using 1265% CPU and a load average above 10, this article explains why those numbers are not necessarily alarming, clarifies common misconceptions about %CPU, load, VIRT, free memory, and provides practical steps to interpret top correctly on multi‑core Linux servers.

CPULinuxLoad Average
0 likes · 5 min read
Why 1265% CPU in top Isn’t a Crash: Decoding Linux Metrics Correctly
Architect
Architect
Jan 7, 2026 · Databases

Why Did Redis Suddenly Evict Keys? A Deep Dive into Memory, Pipelines, and Client Buffers

This article walks through a production incident where Redis began returning missing keys, detailing the step‑by‑step diagnosis—from monitoring logs and TTL checks to discovering memory spikes caused by client‑output‑buffer‑limit overflow and pipeline traffic—followed by emergency and permanent remediation measures.

MemoryPipelineclient-output-buffer-limit
0 likes · 11 min read
Why Did Redis Suddenly Evict Keys? A Deep Dive into Memory, Pipelines, and Client Buffers
Fun with Large Models
Fun with Large Models
Dec 21, 2025 · Artificial Intelligence

LangGraph 1.0 Quick Guide Part 2: Conditional Edges, Memory, and Human‑in‑the‑Loop

This article walks through three advanced LangGraph 1.0 features—using the Command object for conditional routing, checkpoint‑based memory for state persistence across invocations, and interrupt‑driven human‑in‑the‑loop control—providing concrete code examples, execution traces, and a comparison of design trade‑offs.

AI agentsCheckpointCommand
0 likes · 15 min read
LangGraph 1.0 Quick Guide Part 2: Conditional Edges, Memory, and Human‑in‑the‑Loop
Raymond Ops
Raymond Ops
Dec 16, 2025 · Operations

Boost Linux Performance 30-50%: Full CPU, Memory & Disk I/O Tuning Guide

This guide provides a systematic, multi‑layered approach to Linux performance optimization, covering CPU usage analysis, memory management, disk I/O tuning, kernel parameter tweaks, NUMA and container adjustments, with concrete commands, real‑world case studies, monitoring scripts, and actionable best‑practice checklists.

CPUDisk I/OLinux
0 likes · 14 min read
Boost Linux Performance 30-50%: Full CPU, Memory & Disk I/O Tuning Guide
Raymond Ops
Raymond Ops
Nov 20, 2025 · Operations

How to Monitor Linux System Performance: CPU, Memory, Disk I/O & Network

This guide explains how to monitor a Linux server’s health by checking CPU load and core count, memory usage, disk I/O statistics, and network traffic with common command‑line tools such as uptime, top, free, iostat, iotop, nload and nethogs, and shows how to interpret the results to identify bottlenecks.

CPUDisk I/OLinux
0 likes · 13 min read
How to Monitor Linux System Performance: CPU, Memory, Disk I/O & Network
Wuming AI
Wuming AI
Nov 10, 2025 · Artificial Intelligence

What Exactly Is an AI Agent? A Clear, Practical Guide

This article explains the concept of AI agents, contrasting them with chatbots, detailing their ability and structural layers, summarizing academic surveys and whitepapers, and illustrating how agents plan, perceive, and act to autonomously accomplish user‑defined goals.

AI AgentAgent ArchitectureAutonomous Planning
0 likes · 9 min read
What Exactly Is an AI Agent? A Clear, Practical Guide
Code Mala Tang
Code Mala Tang
Nov 7, 2025 · Backend Development

Master Three‑Layer Caching in FastAPI: HTTP, In‑Memory, and Redis

This guide explains the three‑layer caching strategy—HTTP cache headers, in‑memory caching, and Redis—detailing when to use each layer, how to implement them with FastAPI, common pitfalls, performance benchmarks, and best‑practice patterns for production‑grade applications.

HTTPMemorycaching
0 likes · 17 min read
Master Three‑Layer Caching in FastAPI: HTTP, In‑Memory, and Redis
Data Party THU
Data Party THU
Nov 5, 2025 · Artificial Intelligence

How to Give LLM Agents Memory, Reflection, and Goal Tracking

This article explains why current LLM agents lose context after each conversation and presents a practical architecture—using SQLite for structured storage, a vector database for semantic retrieval, and LLM‑driven reflection—to add persistent memory, self‑evaluation, and goal‑tracking capabilities that turn agents into learning partners.

Goal TrackingLLMMemory
0 likes · 10 min read
How to Give LLM Agents Memory, Reflection, and Goal Tracking
Data Party THU
Data Party THU
Nov 1, 2025 · Artificial Intelligence

How to Blend Process‑Oriented and Agent‑Centric AI into a Hybrid Intelligent Pipeline

This article analyzes two contrasting AI agent design paradigms—process‑driven workflow orchestration and autonomous agent intelligence—examines their strengths and limitations, and proposes a hybrid architecture that fuses deterministic pipelines with dynamic planning, tool use, and memory mechanisms to achieve both reliability and adaptability.

AIAgentHybrid
0 likes · 15 min read
How to Blend Process‑Oriented and Agent‑Centric AI into a Hybrid Intelligent Pipeline
Xiao Liu Lab
Xiao Liu Lab
Oct 29, 2025 · Operations

How to Diagnose and Fix High Swap Usage on Linux Servers

Learn step‑by‑step how to identify why your Linux server’s swap is consuming over 90% of space, understand the performance impact, and apply three safe optimization techniques—including process analysis, swappiness tuning, and cache clearing—to restore smooth operation without rebooting.

LinuxMemorySwap
0 likes · 6 min read
How to Diagnose and Fix High Swap Usage on Linux Servers
Go Development Architecture Practice
Go Development Architecture Practice
Oct 23, 2025 · Fundamentals

How Go 1.26’s new Built‑in ‘new’ Accepts Any Expression – Simplify Code and Boost Performance

The article explains the background and need for helper functions that return pointers to values in Go, introduces the upcoming Go 1.26 extension that lets the built‑in new function accept arbitrary expressions, shows practical code examples, demonstrates memory‑leak avoidance and performance gains, and concludes with a brief outlook on the feature’s release.

GenericsGoMemory
0 likes · 8 min read
How Go 1.26’s new Built‑in ‘new’ Accepts Any Expression – Simplify Code and Boost Performance
Tech Stroll Journey
Tech Stroll Journey
Oct 15, 2025 · Artificial Intelligence

From Tools to Autonomous Employees: Understanding AI Agents

This article explains AI Agents by contrasting them with traditional AI tools, detailing their official definition, core components—planning, tool use, memory, action—illustrating a travel‑planning example, outlining agent types, and highlighting their significance for AGI and real‑world applications.

AI AgentAutonomous AIMemory
0 likes · 7 min read
From Tools to Autonomous Employees: Understanding AI Agents
IT Services Circle
IT Services Circle
Sep 29, 2025 · Artificial Intelligence

How Memvid Stores AI Knowledge in MP4 Videos with 10× Less Space

Memvid replaces traditional vector databases by encoding text chunks as QR codes inside MP4 video frames, achieving up to ten‑fold storage reduction, millisecond‑level semantic search, zero‑infrastructure deployment, and a built‑in conversational interface, while providing a fast‑install Python SDK and CLI.

AIMemoryMemvid
0 likes · 9 min read
How Memvid Stores AI Knowledge in MP4 Videos with 10× Less Space
FunTester
FunTester
Sep 17, 2025 · Backend Development

20 Proven Go Performance Optimization Techniques Every Backend Engineer Should Know

This article presents 20 production‑validated Go performance optimization tips, covering profiling, benchmarking, memory management, concurrency, and build‑time strategies, with clear principles and practical code examples to help engineers systematically improve Go application performance.

MemoryProfilingconcurrency
0 likes · 24 min read
20 Proven Go Performance Optimization Techniques Every Backend Engineer Should Know
Data Thinking Notes
Data Thinking Notes
Sep 7, 2025 · Artificial Intelligence

Unlocking AI Agent Memory: How LLMs Use Retrieval and Planning to Stay Smart

This article explains the core architecture of AI agents powered by large language models, detailing how planning, short‑term and long‑term memory, and tool integration work together through vector databases, retrieval‑augmented generation, and summarization to enable stateful, intelligent interactions across multiple sessions.

AI AgentLLMMemory
0 likes · 10 min read
Unlocking AI Agent Memory: How LLMs Use Retrieval and Planning to Stay Smart
DataFunSummit
DataFunSummit
Aug 23, 2025 · Artificial Intelligence

Mastering Role‑Playing AI Agents: Challenges, Techniques, and Future Directions

This article surveys the latest research on role‑playing AI agents, covering their definition, core components, application scenarios, three main challenges—role fidelity, long‑term memory, and evaluation—and presents four technical approaches for each challenge along with future research directions and references.

AI agentsMemoryPrompt engineering
0 likes · 22 min read
Mastering Role‑Playing AI Agents: Challenges, Techniques, and Future Directions
Liangxu Linux
Liangxu Linux
Aug 20, 2025 · Fundamentals

Unlock the Power of C’s static Keyword: Memory, Scope, and Real‑World Uses

This article explains the C static keyword, showing how it gives local variables persistent memory, restricts global symbols to a single file, and enables shared data across structs, with clear code examples, common patterns like singletons and cached Fibonacci, and important pitfalls to avoid.

CMemoryprogramming fundamentals
0 likes · 12 min read
Unlock the Power of C’s static Keyword: Memory, Scope, and Real‑World Uses
Youzan Coder
Youzan Coder
Aug 13, 2025 · Artificial Intelligence

Understanding AI Agents: Core Modules, Planning Strategies, and Evaluation

This article explains what an AI agent is, outlines its four core modules—perception, memory, planning, and action—describes the role of large language models, compares software development generations, discusses memory implementations, planning methods like ReAct and Plan‑and‑Solve, and covers evaluation, cost analysis, and differences between agents and workflows.

AIAgentLLM
0 likes · 15 min read
Understanding AI Agents: Core Modules, Planning Strategies, and Evaluation
Tech Freedom Circle
Tech Freedom Circle
Aug 5, 2025 · Backend Development

How to Diagnose and Fix Sudden Redis Slowdowns: A Complete Five‑Step Guide

This article provides a systematic, step‑by‑step methodology for identifying the root causes of Redis performance degradation—including big keys, slow queries, expiration spikes, memory limits, fork latency, AOF flushing, memory fragmentation, swap usage, huge pages, and CPU binding—and offers immediate mitigation tactics as well as long‑term architectural solutions to restore and maintain high throughput.

BackendCacheMemory
0 likes · 50 min read
How to Diagnose and Fix Sudden Redis Slowdowns: A Complete Five‑Step Guide
ITPUB
ITPUB
Aug 2, 2025 · Backend Development

Which Language Survives a 1GB Memory Limit? Go, Rust, Node, Python, Java Tested

By imposing a strict 1 GB memory cap on identical workloads across Go, Rust, Node.js, Python (Flask/Gunicorn), and Java Spring Boot, this study reveals how each language’s runtime handles memory pressure, detailing survival times, performance quirks, and ultimate failure modes.

GoJavaMemory
0 likes · 8 min read
Which Language Survives a 1GB Memory Limit? Go, Rust, Node, Python, Java Tested
Liangxu Linux
Liangxu Linux
Jul 15, 2025 · Databases

InnoDB vs MyISAM vs Memory: Which MySQL Storage Engine Fits Your Needs?

This article compares MySQL's three common storage engines—InnoDB, MyISAM, and Memory—by examining their core features, locking mechanisms, transaction support, durability, foreign‑key capabilities, typical use cases, and provides concrete CREATE TABLE examples and a side‑by‑side feature matrix to help developers choose the right engine.

Database PerformanceInnoDBMemory
0 likes · 7 min read
InnoDB vs MyISAM vs Memory: Which MySQL Storage Engine Fits Your Needs?
MaGe Linux Operations
MaGe Linux Operations
Jul 1, 2025 · Fundamentals

Choosing the Right RAM: Essential Basics and Buying Tips

This guide explains what DRAM is, how memory works with CPU and storage, compares capacities for different use cases, details dual‑channel benefits, DDR generations, frequencies, timings, chip quality, and offers practical advice on selecting the optimal RAM for your needs.

MemoryRAMSelection
0 likes · 14 min read
Choosing the Right RAM: Essential Basics and Buying Tips
Deepin Linux
Deepin Linux
Jun 24, 2025 · Operations

Master Linux Cache Tuning: Boost Performance with Proven Tools & Techniques

This comprehensive guide explains Linux cache fundamentals, performance metrics, essential tuning tools, step‑by‑step optimization procedures, and a real‑world case study, helping you diagnose low hit rates, adjust kernel parameters, clean caches, and improve overall system responsiveness.

LinuxMemorysysctl
0 likes · 24 min read
Master Linux Cache Tuning: Boost Performance with Proven Tools & Techniques
Instant Consumer Technology Team
Instant Consumer Technology Team
Jun 23, 2025 · Artificial Intelligence

What Are AI Agents? Architecture, Applications, and Future Trends

AI Agents, autonomous intelligent programs that perceive, reason, and act, are reshaping industries from healthcare to autonomous driving; this article explains their core components, differences from large language models, planning techniques, memory mechanisms, tool use, real‑world applications, current challenges, and future directions.

AI AgentApplicationsAutonomous AI
0 likes · 35 min read
What Are AI Agents? Architecture, Applications, and Future Trends
Alibaba Cloud Developer
Alibaba Cloud Developer
Jun 11, 2025 · Artificial Intelligence

From Chat to Autonomous Agents: Architecture, ReAct, Prompt Engineering

This article chronicles the evolution from simple chat interactions to sophisticated autonomous agents, detailing stages of LLM development, ReAct reasoning, memory management, tool integration, and practical implementation using the browser-use project, while offering prompt design insights and future directions for AI agents.

AI AgentLLMMCP
0 likes · 30 min read
From Chat to Autonomous Agents: Architecture, ReAct, Prompt Engineering
IT Services Circle
IT Services Circle
Jun 9, 2025 · Fundamentals

How Logic Gates Build a Computer: From Binary to CPU Explained

This article walks you through the basic principles of how computers operate, illustrating how simple logic gates can be combined to create binary arithmetic, memory storage, and control logic, ultimately forming a CPU that can execute instructions and perform calculations automatically.

CPUMemorybinary arithmetic
0 likes · 8 min read
How Logic Gates Build a Computer: From Binary to CPU Explained
Didi Tech
Didi Tech
May 22, 2025 · Backend Development

Why Go Services Must Be Optimized and How to Make Them Faster

Optimizing Go services is essential for saving resources, improving stability, and delivering a responsive user experience, and this guide explains the underlying mechanisms, common pitfalls, and practical techniques—from GC tuning and concurrency control to I/O tricks and profiling tools—to help developers build high‑performance, production‑ready Go applications.

BackendGoMemory
0 likes · 33 min read
Why Go Services Must Be Optimized and How to Make Them Faster
Architects' Tech Alliance
Architects' Tech Alliance
May 20, 2025 · Industry Insights

What Do GPU Core Specs Really Mean? A Deep Dive into Modern GPU Performance

This article provides a comprehensive analysis of GPU core parameters—including compute units, memory systems, floating‑point performance, power consumption, and manufacturing process—while comparing leading international and domestic GPU products to help readers choose the right accelerator for AI, HPC, or graphics workloads.

AIBenchmarkingGPU
0 likes · 19 min read
What Do GPU Core Specs Really Mean? A Deep Dive into Modern GPU Performance
DevOps
DevOps
May 13, 2025 · Artificial Intelligence

The Rise of AI Agents: Current Trends, Core Capabilities, and Future Outlook

This article surveys the rapid emergence of AI agents, outlining their projected 2025 breakthrough, market momentum, key frameworks such as Manus and MCP, the four core abilities of perception, planning, tool use, and memory, and the evolving landscape of multimodal and autonomous AI systems.

AI agentsMemoryPlanning
0 likes · 11 min read
The Rise of AI Agents: Current Trends, Core Capabilities, and Future Outlook
Tencent Cloud Developer
Tencent Cloud Developer
May 8, 2025 · Artificial Intelligence

Advances and Future of AI Agents: Capabilities, Trends, and Applications

AI agents are rapidly evolving toward a 2025 breakthrough in perception, autonomous planning, tool use and memory, driven by multimodal models, neural‑symbolic reasoning and embodied intelligence, with $27 billion investment forecasts, exemplified by general‑purpose agents like Manus and emerging applications in code generation, research, healthcare, and risk analysis.

AI AgentAgent FrameworkAutonomous Planning
0 likes · 12 min read
Advances and Future of AI Agents: Capabilities, Trends, and Applications
Java One
Java One
May 4, 2025 · Fundamentals

How Does Java Execution Differ from C? A 3‑Minute JVM Deep Dive

This article compares the compilation and runtime processes of C and Java programs, explains Java's class loading, linking, initialization, memory layout, execution engine components, and native interface, and highlights why Java startup is slower than native C execution.

CompilationJVMJava
0 likes · 16 min read
How Does Java Execution Differ from C? A 3‑Minute JVM Deep Dive
Architects' Tech Alliance
Architects' Tech Alliance
Apr 29, 2025 · Industry Insights

Next-Gen Server Architecture: CPUs, GPUs, Memory, and Certification Insights

This article provides a comprehensive analysis of modern server architecture, covering the evolution from CISC to RISC, the rise of heterogeneous computing with GPUs and accelerators, diverse form factors, core component technologies, reliability mechanisms, performance benchmarking, certification standards, and emerging trends such as liquid cooling and AI‑native designs.

CPUData centerGPU
0 likes · 11 min read
Next-Gen Server Architecture: CPUs, GPUs, Memory, and Certification Insights
Alibaba Cloud Developer
Alibaba Cloud Developer
Apr 25, 2025 · Artificial Intelligence

Unlocking AI Agents: Theory, Design Patterns, and Hands‑On Experiments

This article combines theoretical analysis and practical case studies to systematically explore the core components, design patterns, and future directions of AI agents, detailing the implementation of OpenManus, custom memory and planning modules, experimental evaluations, and insights for improving agent reliability and scalability.

AI AgentLLMMemory
0 likes · 31 min read
Unlocking AI Agents: Theory, Design Patterns, and Hands‑On Experiments
Data Thinking Notes
Data Thinking Notes
Apr 15, 2025 · Artificial Intelligence

Understanding AI Agents: From Reinforcement Learning to LLM-Powered Planning

Professor Li Hongyi’s lecture provides a comprehensive, step‑by‑step exploration of AI agents, covering their definitions, reinforcement‑learning roots, LLM integration, memory mechanisms, tool usage, planning strategies, benchmarks, and practical examples, offering a valuable resource for anyone studying modern artificial intelligence.

AI agentsBenchmarkMemory
0 likes · 67 min read
Understanding AI Agents: From Reinforcement Learning to LLM-Powered Planning