#four-layer memory architecture
32 related articles
Industry Insights·4 min
Deep Dive into Claude Code's Open-Source Architecture: Six Core Design Principles and Engineering Practices Revealed
Deep analysis of Claude Code's open-source architecture: six core design principles including dual-loop mechanism, seven-step tool pipeline, four-layer token compression, multi-agent collaboration, and memory systems.
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Tutorials·3 min
Hermes Agent in Practice: A Complete Breakdown from ReAct Loop to Autonomous Skill Evolution
Deep dive into Hermes Agent's four progressive cases: terminal ReAct loop, Feishu AI assistant, four-layer persistent memory, and three-stage Skill evolution with DeepSeek support.
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Tutorials·2 min
Orchestrating AI Agents as State Machines: Stop Being a Human Confirmation Button
Explore the next evolution of AI coding: applying CI/CD engineering practices to orchestrate Agents as state machines with YAML templates, Gates, and Dashboards for autonomous multi-Agent progression.
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Tutorials·2 min
npcpy: An Open-Source Framework That Rethinks AI Agent Development with Software Engineering Principles
Deep dive into npcpy's four-layer architecture, multi-agent collaboration, knowledge graph lifecycle management, and deployment strategies for building stable, controllable AI Agent systems.
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Tutorials·3 min
Enterprise AI Agent Four-Layer Architecture Design and PDCA Continuous Optimization Practical Guide
Deep dive into enterprise AI Agent four-layer architecture design (User, Gateway, Agent Service, Capability layers) with PDCA optimization methodology and dual manual+automated evaluation for production-grade Agent systems.
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Tutorials·2 min
Harness AI Engineering Programming: A Practical Guide to the Rules + Skills + Wiki + Changes Four-Layer System
Deep dive into Harness AI Engineering Programming: a Rules + Skills + Wiki + Changes four-layer system with Claude Code for automated, controllable enterprise development.
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Product Reviews·1 min
Echo Agent Deep Dive: A Self-Hosted AI Agent Operating System
Deep dive into Echo Agent, a self-hosted AI Agent OS featuring four-role collaboration, cognitive memory systems, LLM-driven security approval, and A2A/MCP protocol support.
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Tutorials·2 min
Engineering AI Agents for Production: Four Key Challenges and a 12-Week Implementation Roadmap
90% of AI Agent projects stall at the demo stage due to insufficient engineering. This article breaks down four core challenges and provides a 12-week actionable roadmap to production.
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Tutorials·4 min
Hermes Agent in Practice: Building a Memory-Persistent AI Assistant with a Four-Layer Memory System
Deep dive into Hermes Agent's four-layer memory system architecture, covering Harness Engineering principles, Lark integration, persistent memory configuration, and autonomous Skill evolution for building AI assistants that never forget.
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Tech Frontiers·3 min
NVIDIA Nemotron Hackathon Korea Winners Announced: Asia-Pacific AI Developers Showcase Their Strength
NVIDIA Nemotron Hackathon Korea winners officially announced, showcasing Korean AI developer innovation. Analysis of Nemotron LLM ecosystem, Korea's AI landscape, and NVIDIA's global developer strategy.
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Deep Dives·3 min
AI-Assistant Open Source Project Analysis: Building a Local AI Agent with the Anthropic API
Deep analysis of the open-source AI-Assistant project built on Anthropic Claude API for local AI Agents, covering architecture, use cases, security, and agentic AI trends.
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Deep Dives·6 min
learn-claude-code: Deep Dive into the 58K-Star AI Agent Framework
Deep analysis of the 58K-Star open-source project learn-claude-code: building a Claude Code-like programming agent from scratch. Deconstruct the Agent Harness, ReAct loop pattern, and Bash execution layer.
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