#LLM memory system
2216 related articles
Tutorials·3 min
Hermes Orchestrating DeepSeek + MiniMax Dual-AI Collaborative Coding: A From-Scratch Project Test
Testing Hermes agent coordinating DeepSeek V4 and MiniMax 2.7 for collaborative coding: PDF export in 9 minutes, RSS service built from scratch in Nim language.
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Product Reviews·2 min
Deep Dive into SuiBian App: AI Roleplay Interactive Narrative Experience & Technical Breakdown
Deep analysis of SuiBian App's AI roleplay mechanics, from dialogue generation and character design to user experience, compared with Character.AI and similar products.
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Product Reviews·3 min
Cursor 1.0 Officially Released: A Complete Breakdown of Five Core Features
Cursor 1.0 officially released, jumping from 0.50 to 1.0. Detailed analysis of BugBot code review, Background Agent, preference memory, one-click MCP install, and Jupyter Notebook enhancement.
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Product Reviews·3 min
Cursor 1.0 Officially Released: Deep Dive into Six Core Features with Hands-On Testing
Deep dive into Cursor 1.0's six core features: Backboard PR review, Background Agent, Memories, One-Click MCP, Jupyter Support, and Rich Chat Response with hands-on testing results.
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Tutorials·3 min
OpenCode Getting Started Guide: Choosing Your Installation Method & Core Features Explained
A detailed guide to OpenCode's three installation methods (Desktop, CMD, WSL) and core features including Agent architecture, custom commands, MCP integration, and Agent Skills.
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Tutorials·3 min
VSCode + Claude Code + DeepSeek: Complete Guide to Setting Up an AI Programming Environment
Complete guide to setting up a VSCode + Claude Code + DeepSeek AI programming environment from scratch, covering Git installation, Claude Code configuration, CC Switch multi-model management, and VSCode plugin integration for embedded developers.
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Tutorials·3 min
Complete Guide to Installing Hermes Agent on Windows: WSL Setup and Troubleshooting Common Issues
Complete guide to installing Hermes Agent on Windows, covering WSL setup, Ubuntu initialization, API configuration, Web UI installation, and solutions for DNS, virtualization, and other common issues.
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Tutorials·3 min
Java Developers Transitioning to AI Engineers: New Interview Trends and Learning Roadmap
Deep analysis of interview trends for Java developers transitioning to AI engineers, covering LLM integration, RAG, Spring AI framework practice, with a complete learning roadmap.
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Tutorials·3 min
AnythingLLM Installation & Configuration Guide: Building a Local Knowledge Base with API Integration
Complete guide to AnythingLLM local knowledge base setup: installation tips, Ollama model configuration, document vectorization, recall optimization, and API integration.
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Tutorials·3 min
Learn AI Agents in 30 Days: A Four-Stage Learning Roadmap from Zero to Production
A systematic breakdown of the AI Agent learning roadmap covering core architecture, ReAct/CoT paradigms, multi-agent collaboration, and Prompt optimization across four stages with quality resource recommendations.
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Product Reviews·4 min
BeMAD Open-Source Framework Hands-On: A 6-Hour Zero-to-Launch AI Full-Stack Development Experience
Deep dive into BeMAD, a GitHub open-source framework with 50+ guided workflows and 21 AI Agents that compressed WeChat Mini Program development from idea to launch into just 6 hours.
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Tutorials·1 min
AI Large Language Model Learning Roadmap: Six Stages from Zero to Engineer
A systematic LLM engineer learning roadmap covering Transformer basics, prompt engineering, RAG, Agent development, API integration, fine-tuning, deployment, and project practice across six stages.
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Tutorials·3 min
Complete Learning Roadmap for Java Developers Transitioning to AI Engineering
A detailed five-phase learning roadmap for Java developers transitioning to AI engineering, covering Spring AI, LangChain4j, RAG core technology, and Agent development.
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Tutorials·3 min
Andrew Ng's Agent AI Course Fully Explained: Why It's Taking the Tech World by Storm
Deep dive into why Andrew Ng's Agent AI course went viral, covering the five-module agent architecture breakdown, course highlights, target audience, and learning tips for developers.
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Expert Opinions·3 min
The Salary Ceiling for Agent Engineers: Two Critical Dividing Lines
Agent engineer salary gaps hinge on two dividing lines: real production deployment experience and depth of foundational theory including deep learning, fine-tuning, and reinforcement learning.
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Industry Insights·3 min
AI Conversational Programming vs. RPA: Revolution or Complementary? A Deep Dive into Capability Boundaries
Can AI conversational programming replace RPA? Deep analysis of AI's strengths in simple tasks vs. limitations in complex workflows, user return-to-RPA trends, and the future of AI+RPA hybrid automation.
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Deep Dives·4 min
AI Agents 101: Core Concepts, Technical Architecture, and How They Work
A beginner's guide to AI Agents: understand core concepts, the perception-decision-action loop, LLM, tool calling, memory systems, and RAG architecture explained from scratch.
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Deep Dives·3 min
DeepSeek V4 Deep Technical Breakdown: Million-Token Context and Extreme Cost Efficiency
Deep analysis of DeepSeek V4's core architecture: Hybrid Compressed Attention, Manifold-Constrained Hyperconnection, and MUON optimizer—how they cut inference costs by 10x and enable million-token context processing.
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Tutorials·4 min
Semi-AI Mode: A Pragmatic Approach to API Automation Testing Frameworks
Explore the semi-AI approach to API automation testing: why pure AI fails, framework design principles, technology choices, and clear human-AI division of labor for practical implementation.
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Tutorials·3 min
Getting Started with Spring AI Alibaba: The Go-To Framework for Java Developers Integrating LLMs
A deep dive into Spring AI Alibaba's core positioning and advantages, helping Java developers quickly understand how to integrate LLMs through this framework.
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