#LLM agent
2543 related articles
Tutorials·2 min
Complete Guide to Claude Skills 2.0: Skill Creation, Evaluation, and Real-World Applications
Deep dive into Claude Skills 2.0: two skill types, the new skill creator, evaluation system, and a cold email marketing case study that boosts task pass rates from 40% to 100%.
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Tutorials·2 min
Claude Code + Cline in Practice: Building a Meeting Summary Agent Skill from Scratch
Learn how to build a Meeting Summary Agent Skill with Claude Code and Cline, covering MCP protocol integration, sentiment analysis, and structured output design.
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Tutorials·2 min
Obsidian + Claude Code: A Practical Guide to AI-Automated Personal Knowledge Base Management
Learn how to build an AI-driven personal knowledge base with Obsidian and Claude Code. Covers three-layer architecture, Ingest/Query/Maintain workflows, and human-AI collaboration principles.
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Product Reviews·2 min
10 Recommended Open-Source Claude Code Tools for May 2025
10 curated open-source Claude Code tools for May covering Token optimization, knowledge graphs, frontend design extraction, browser automation, and more to boost AI coding efficiency.
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Tutorials·2 min
Claude Code Installation Guide: Configuration for China-Based Users & Superpowers Plugin in Practice
Complete guide to installing Claude Code in three commands, configuring models for China-based users via manual setup or CCSWITCH, and using the Superpowers plugin with TDD to boost AI code quality.
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Product Reviews·1 min
Kman Plugin Review: Cut Claude Code Output Tokens by 65% and Save Big
How the Kman plugin uses prompt injection to cut AI output tokens by 65% without losing code quality. Covers installation, benchmark data, three intensity modes, and Kman Review.
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Tutorials·2 min
LangChain Conversational Memory in Practice: Principles and Latest Implementation of Four Memory Types
Deep dive into four conversational memory types in LangChain 0.3: Buffer, Window, Summary, and Summary Buffer. Covers RunnableWithMessageHistory implementation with selection guidelines.
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Tutorials·2 min
LangChain v0.3 Agent Tutorial: Complete Guide to Tool Definition, Building, and Execution
Complete guide to building AI Agents in LangChain v0.3, covering @tool decorator, Agent Executor, parallel tool calls, Google Search integration, and ReAct framework with code examples.
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Tutorials·2 min
LangChain Agent Executor Architecture: Building a ReAct Agent from Scratch
Deep dive into LangChain Agent Executor internals, covering the ReAct reasoning-action-observation loop, tool choice strategies, and building a custom Agent Executor from scratch.
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Tutorials·2 min
LangChain AI Agent in Practice: Complete Tutorial on Streaming Output + Parallel Tool Calling
Learn how to build a production-grade AI Agent chat app with LangChain and FastAPI, covering streaming tokens, asyncio parallel tool calling, SerpAPI async conversion, and structured output.
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Tutorials·2 min
LangChain Streaming Output & Async in Practice: Complete Implementation for Agent Scenarios
Deep dive into LangChain streaming output and async implementation, covering astream usage, custom AsyncQueueCallbackHandler, and Agent streaming executor architecture for production AI apps.
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Tutorials·2 min
Practical Guide to OpenAI Agents SDK Message Types and Conversation History Management
Deep dive into OpenAI Agents SDK's five message types, conversation history management, and common pitfalls including static/dynamic instructions and Function Call pairing.
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Deep Dives·2 min
AI Agent Conversation History Management: From Message Lists to Event-Driven Architecture
Traditional user-assistant alternating chat history can't meet complex AI Agent needs. This article explores modeling Agent interactions as event sequences, revealing Agents as workflow engines.
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Tutorials·2 min
OpenAI Agents SDK Tracing Guide: Zero-Configuration Agent Observability
Learn how to use OpenAI Agents SDK's built-in tracing system for AI Agent observability, covering zero-config auto-tracing, custom trace contexts, and tool call monitoring.
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Product Reviews·2 min
Claude Code Ultra Review Hands-On: Deep Dive into Multi-Agent Code Review
Hands-on deep dive into Claude Code's upcoming Ultra Review: multi-Agent parallel search, independent verification, deduplication workflow, comparison with standard Review, plus custom Fleet Review implementation.
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Tutorials·1 min
Claude Code Agent Teams Practical Guide: 30 Tips for Efficient Collaboration
In-depth analysis of 30 practical tips for Claude Code Agent Teams, covering team formation, task planning, cost control, and file conflict avoidance.
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Product Reviews·2 min
Claude Code Agent Teams Hands-On: Is Multi-AI Collaborative Development Actually Worth It?
Hands-on review of Claude Code Agent Teams multi-agent collaboration: team architecture, real-world performance, token costs, key limitations, and pragmatic recommendations for when to use it.
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Product Reviews·2 min
Glutra: A Multi-Agent Collaborative Desktop App for Building Your AI One-Person Company
Glutra is an open-source multi-agent desktop app for batch creating AI employees, visual workflow orchestration, and real-time monitoring. Cross-platform support for building your AI one-person company.
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Tutorials·2 min
Multi-Agent Applications in Practice: Building AI Multi-Agent Collaborative Workflows from Scratch
A practical guide to building multi-agent collaboration systems, covering assistant creation, skill assignment, group chat mechanisms, and solutions for hallucination in AI workflows.
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Product Reviews·2 min
PaperClip + Claude Code Multi-Agent Coordinated Development in Practice: Full Workflow Demo of an AI Virtual Team
Hands-on demo of building a multi-Agent development team with PaperClip and Claude Code, featuring Delivery Lead, Frontend/Backend Engineers, QA, and Code Reviewer roles in a full AI-automated development workflow.
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