#memory system
90 related articles
Tutorials·3 min
Getting Started with AI Agent Development: A Complete Learning Path from Concepts to Practice
A comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
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Deep Dives·3 min
Deep Dive into Hermes Agent Self-Evolution: The GIPA Algorithm and Engineering Practice
Deep analysis of NousResearch's Hermes Agent Self Evolution project: GIPA genetic Pareto prompt evolution algorithm, six-step optimization loop, and five guardrail mechanisms for real-world Agent self-evolution.
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Industry Insights·2 min
Five Design Patterns for Long-Running AI Agents: From Checkpoint Recovery to Cluster Orchestration
Deep dive into five core design patterns for long-running AI Agents from Google Cloud Next 26: checkpoint recovery, delegated approval, hierarchical memory, ambient processing, and cluster orchestration.
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Tech Frontiers·3 min
Gemini 3.5 Pro Leak Analysis: Coding Matches GPT 5.5, Spark Agent Sparks Privacy Controversy
Gemini 3.5 Pro leak analysis: coding matches GPT 5.5, lightweight Flash achieves 92% performance at 20x lower cost. Gemini Spark as a 24/7 AI Agent raises privacy concerns amid Google's ecosystem flywheel strategy.
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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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Tutorials·3 min
Building a Vocabulary App with Claude Using Zero Code: From Requirements Description to Deployment
A non-programmer built a vocabulary app with human-like pronunciation, verb conjugation lookup, and SM2 spaced repetition by conversing with Claude AI—zero coding required.
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Tutorials·2 min
Two MCP Plugins Combined: Solving Claude Code's Memory Loss Problem in Large Projects
Claude Code loses memory on large projects? Learn how Cloud Context and Context Mode MCP plugins combine vector-indexed retrieval with 98% compression to solve context window overflow.
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Deep Dives·3 min
How Claude Code Works: Inside the Agentic Programming Tool
Deep dive into Claude Code's core mechanisms including tool calling, agentic search, memory systems, and MCP protocol extensions. Learn how this CLI agent tool autonomously plans and executes complex development tasks.
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Product Reviews·2 min
AgentMemory: An Open-Source Solution for Giving AI Coding Assistants Permanent Memory
AgentMemory is an open-source persistent memory layer supporting memory sharing across 16 AI coding tools including Claude Code and Cursor. 95.2% retrieval accuracy, ~1900 tokens per session, local SQLite storage with zero privacy concerns.
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Tutorials·2 min
Claude Code Four-Step Workflow: A Practical Guide to Explore → Plan → Code → Commit
Master the Claude Code four-step workflow: Explore project context, Plan actions, Code collaboratively, and Commit with review. Shift error correction left to dramatically boost AI coding efficiency.
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Tutorials·3 min
The Complete Guide to Hermes Agent: Building a Self-Evolving AI Assistant from Scratch
Complete guide to Hermes Agent's five core pillars: Memory, Skills, Soul, Crons & self-evolution. Covers VPS deployment, Telegram setup, security management & best practices for building an AI assistant that grows stronger over time.
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Expert Opinions·2 min
The Desensitization Effect After 100 Videos: When Creating Becomes as Natural as Breathing
Indie developer shares the video creation desensitization effect: after 100 videos, creating shifts from deliberate effort to natural instinct. Learn how to lower your content creation activation cost.
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Product Reviews·4 min
OpenClaw vs Hermes: In-Depth Comparison and Selection Guide for Open-Source AI Agent Frameworks
In-depth comparison of OpenClaw and Hermes open-source AI Agent frameworks covering architecture, memory systems, auth, plugins, and channel distribution to guide developer selection.
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Product Reviews·2 min
Codex Computer Use for Auto-Filling Forms: AI Memory Makes Tedious Paperwork Instant
Learn how OpenAI Codex Computer Use combined with AI memory auto-fills forms. From job applications to project proposals, AI controls the interface and extracts history to complete 30-minute forms in seconds.
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Deep Dives·4 min
Is Context Engineering the Core of Agent Development? A Deep Dive into Architecture and Practical Solutions
Deep dive into context engineering as the core of Agent development, covering five context modules, four pain points, and dynamic assembly solutions including compression, hybrid retrieval, multi-Agent architecture, and state machine control.
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Product Reviews·4 min
Generic Agent: An Open-Source AI Agent That Uses Only One-Tenth the Tokens of Comparable Products
Generic Agent is an open-source AI Agent that reduces token consumption by 90% through minimalist tool design, four-layer memory hierarchy, and experience reuse. Supports computer operation, browser automation, Feishu integration, and more.
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Product Reviews·3 min
Hermes Agent Deep Dive: Installation & Practical Guide to the Self-Learning AI Framework
Deep dive into Hermes Agent's core mechanisms: learning loops, three-layer memory system, and self-evolving Skills. Includes comparison with Claude Code and OpenCode, plus a complete installation guide.
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Tutorials·4 min
Claude Code Agent Architecture Source Code Deep Dive: Agent Loop and Tool System in Practice
Deep dive into Claude Code's four core agent modules: system prompt, Agent Loop, tool system, and memory mechanism. Build a Mini Claude Code from scratch in TypeScript.
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Tutorials·1 min
Harness Engineering: Essential Architecture Guide for Agent Development
Deep dive into Harness Engineering architecture for AI agents: multi-agent collaboration, memory management, middleware design, MCP integration, and LangChain's DeepAgent framework.
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Tutorials·4 min
Deep Dive into Claude Code's Agent Architecture: From Principles to Minimal Implementation
Deep analysis of Claude Code's four core agent modules: Agent Loop, Tool System, Skills, and Memory, with a TypeScript minimal implementation guide for frontend engineers transitioning to AI development.
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