#five-layer memory
21 related articles
Tutorials·2 min
Huawei Hermes Agent Manual Explained: Five-Layer Memory Architecture and Multi-Agent Collaboration in Practice
Deep dive into Huawei's 100-page Hermes Agent manual: five-layer memory architecture solving AI amnesia, self-evolution loops for continuous optimization, and multi-agent collaboration engineering.
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Deep Dives·3 min
Hermes Agent Deep Dive: Five-Layer Memory Architecture and Self-Evolution Mechanism Fully Explained
A deep dive into Huawei's open-source Hermes Agent framework: five-layer memory architecture, self-evolution loop, multi-agent collaboration, and comparison with Open Manus.
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·3 min
The 5-Layer AI Tech Stack Explained: A Complete Industry Chain from Energy to Applications
Deep dive into the 5-layer AI tech stack: Energy, Chips, Infrastructure, Models, and Applications. Understand the key players, competitive landscape, and value distribution logic across the AI industry chain.
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·3 min
D-Flash: The Secret Behind 3.5x LLM Inference Speedup with Diffusion Drafting
D-Flash uses fast diffusion parallel drafting and target feature KV injection to solve the autoregressive Drafter latency bottleneck in speculative decoding. 16 tokens in just 6ms, up to 3.5x speedup on HumanEval, surpassing EAGLE3 and MTP.
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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
Why Do AI Agents Crash the Moment They Go Live? A Practical Guide to Harness Engineering for Runtime
A deep dive into the Claude Code source code, systematically analyzing the five-layer Harness Engineering architecture: environment, tool, control, memory, and evaluation. Build a stable runtime system for production AI Agents.
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·4 min
AI Agents Powering the Full Research Pipeline: A Practical Guide to Automation from Topic Selection to Publication
Learn how to use AI Agents to link the entire research pipeline—from literature management, data analysis, and paper writing to scientific illustration and dissemination—building a reusable research automation workflow with NotebookLM, N8N, and Ollama.
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·5 min
DeepSeek Boosts Inference Speed by 85%: How Speculative Decoding Is Reshaping the AI Speed Race
DeepSeek and Peking University's DS Spark paper boosts AI inference speed by up to 85% via confidence scheduling and semi-autoregressive speculative decoding — no model or GPU changes.
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·5 min
GPT-5.6 Sol Limited Preview: A Deep Dive into the Sol/Tera/Luna Tiers and Access Mechanism
OpenAI officially releases the GPT-5.6 Sol limited preview, with three tiers — Sol, Tera, Luna — each differing in price and capability. A deep dive into tier selection, five-layer safety gates, and API pricing.
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·3 min
New Book Breakdown: "Claude Code in Practice: The Way of Harness Engineering" — Master AI Programming Engineering in Ten Chapters
Deep breakdown of the new book on Claude Code engineering, covering Harness concepts, four-layer architecture, five-layer memory, sub-agents, hooks, MCP protocol, and CI/CD integration.
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·3 min
Hermes AI Kanban: A Five-Layer Autonomous Architecture for Fully Automated Delivery from Idea to Finished Product
Deep dive into Hermes Kanban 2.0's five-layer autonomous architecture covering intelligent planning, human approval gates, multi-agent execution, and Obsidian integration for fully automated delivery.
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·3 min
Claude Code Context Management in Practice: The Five-Layer Backpack and Token Optimization Principles
Deep dive into Claude Code's context mechanics: the five-layer backpack structure, 200K Token boundaries, three optimization strategies, and sub-agent isolation to cut Token costs and prevent AI degradation.
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·2 min
The Five-Layer Evolution of Scaling Law: How Physical AI Opens the Next Growth Curve
Deep analysis of Scaling Law's five-layer evolution from Pre-Training to Multi-Agent, exploring Physical AI's World Models, edge inference, and emotional interaction.
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Industry Insights·2 min
Claude Code vs OpenClaw Architecture Comparison: Deep Analysis of Two AI Agent Technical Approaches
Deep comparison of Claude Code and OpenClaw AI Agent architectures—from tool governance pipelines and security sandboxes to memory systems and multi-agent collaboration.
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Industry Insights·2 min
Claude Code Source Leak Reveals the Core Paradigm of Harness Engineering
Deep analysis of the Claude Code source leak, comparing OpenCode architecture differences, revealing how Harness Engineering determines the floor of Agent capabilities.
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Tutorials·4 min
The Complete Guide to Claude Code's Extension System: A Five-Layer Architecture That Doubles Development Efficiency
Deep dive into Claude Code's five-layer extension architecture: Claude.md memory, Skills, MCP services, Subagents, and Hooks. Master the Rule of Three and golden combinations to systematically boost AI coding efficiency.
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Product Reviews·3 min
Ruflo: A Multi-Agent Orchestration Solution That Turns Claude Code into a 100-Person AI Team
Ruflo is an open-source multi-agent orchestration platform that upgrades single-threaded Claude Code into a distributed AI dev team with 100+ specialized Agents and a SANA self-learning engine.
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Tech Frontiers·3 min
Generic Agent: A Self-Evolving AI Agent Built with Just 3,000 Lines of Code
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
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Product Reviews·1 min
ECC: A Unified AI Programming Operating System for Claude Code, Codex, and Cursor
ECC (Enhanced Claude Code) is an open-source AI programming OS that unifies Claude Code, Codex, and Cursor through a five-layer architecture with 246 skills, 61 Agents, and selective installation.
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Deep Dives·2 min
The Five-Layer Architecture of the AI Industry Chain Explained: A Complete Breakdown from Application to Energy
Deep dive into the AI industry's five-layer architecture: application, model, infrastructure, chip, and energy layers. Understand the full AI landscape.
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