#persistent reasoning graphs
90 related articles
·2 min
What Is AI Loop? The Paradigm Shift from Agents to Loop-Based Architecture
Deep dive into AI Loop architecture: how continuous-running agent swarms differ from traditional AI Agents, with applications in software development, cybersecurity, and beyond.
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·2 min
Hands-On Tutorial: Build an AI Agent from Scratch with 200 Lines of Python
Build an AI Agent from scratch with 200 lines of Python, covering prompts, memory, tool calling, RAG, and Skills — a practical guide for developers.
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·3 min
Sonar Tests Code Quality Across 53 LLMs: Claude Has the Most Security Vulnerabilities, GPT-5 Code Volume Surges 5x
Sonar evaluates 53+ LLMs on 4,444 Java tasks: Claude has the highest security vulnerability density at 300/million lines, GPT-5 code volume surges 5x to 1.2M lines. Deep analysis of real-world code quality.
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·4 min
Pi Coding Agent Deep Configuration Guide: A Complete Breakdown of Custom Tools, Sub-Agents, and the Skill System
A complete Pi Coding Agent configuration guide refined over two months, covering custom tools, sub-agents, persistent memory, security, and skill systems.
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·2 min
Cosmos Unified Agents Platform: A New Paradigm for AI Agent Collaboration Through Shared Context and Memory
Deep dive into how the Cosmos Unified Agents Platform solves multi-AI Agent collaboration challenges through shared context and memory mechanisms, and its positioning in enterprise multi-Agent orchestration.
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·4 min
OpenAI Swarm Framework Explained: The Core Mechanisms of Function Call and Handoff
Deep dive into OpenAI Swarm multi-agent orchestration framework, explaining Function Call tool invocation and Handoff task transfer mechanisms with local deployment guide.
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Tutorials·3 min
Practical Guide: Karpathy's Four Principles for Fixing Claude Code's Three Major Pain Points
How Karpathy's four LLM programming principles fix Claude Code's false assumptions, over-complexity, and out-of-scope modifications, with installation methods and framework comparisons.
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Tech Frontiers·3 min
GitHub Copilot Desktop App Released: Agent Programming Breaks Free from the IDE
GitHub launches the Copilot native desktop app as an agent-native development terminal. Session-driven complex task orchestration with deep GitHub ecosystem integration, plus CLI Agent for JetBrains.
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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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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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Deep Dives·3 min
memU Memory Framework Explained: Unifying Multi-Modal Agent Memory with a File System
Deep dive into the memU open-source memory framework: how it organizes Agent memory as a file system with three-layer semantic abstraction, dual-loop collaboration, and two retrieval modes.
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Tutorials·3 min
LangGraph Multi-Agent Architecture: Graph Structure Principles and Enterprise-Level Implementation Guide
Deep dive into LangGraph's core graph structure design, single and multi-agent collaboration patterns, MCP protocol integration, and Time Travel fault-tolerance, with enterprise-level hybrid multi-agent architecture implementation.
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Tutorials·2 min
LangGraph vs LangChain: How to Choose Your Agent Development Framework
In-depth comparison of LangGraph vs LangChain: controllability, extensibility, and FastAPI-powered performance. Covers storage, enterprise private deployment, and migration guidance for agent developers.
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Product Reviews·2 min
MemPalace: An Open-Source Tool That Gives AI Agents Local Long-Term Memory
MemPalace is an open-source local memory tool that builds long-term memory for AI Agents via verbatim storage, semantic retrieval, and MCP protocol, solving the pain of starting from scratch every session.
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Product Reviews·3 min
Hermes Agent Desktop App: The Self-Evolving Open-Source AI Agent
Deep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
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Tutorials·2 min
LangChain Multi-Agent in Practice: End-to-End Automated Generation of API & UI Test Cases
Build a multi-agent testing system with LangChain and LangGraph for automated test case generation, intelligent review, and Playwright execution across 10 progressive projects.
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Tutorials·2 min
LangChain Beginner's Guide: A Complete Guide to LLM and Agent Development
A deep dive into LangChain framework essentials, clarifying the key differences between LLMs and Agents, covering Agent development, DeepAgent advanced topics, and learning paths.
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Tutorials·2 min
AgentSpan in Practice: Building Persistent AI Agents in Python with Crash Recovery and Human Approval
Learn how AgentSpan enables AI Agent state persistence with crash recovery, human approval workflows, and seamless LangGraph integration. Full Python examples included.
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Tutorials·4 min
Windsurf Credits Refill Guide: Complete Tutorial on Spark Multi-Account Management & Card Binding Upgrade
Complete tutorial on using Spark tool for Windsurf credit refills, covering multi-account switching, card binding Pro upgrade, prompt rules, plugin installation & activation with security tips.
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Deep Dives·4 min
The Agentic AI Explosion: A Complete Guide to the Paradigm Shift from Generative to Agentic AI in 2026
In 2026, the AI industry shifts from generative to Agentic AI. Deep dive into GPT-5.5 agent capabilities, Claude's autonomous learning, Physical AI deployment, DeepSeek V4, inference optimization, and the global AI competition landscape.
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