#agent framework

199 related articles

2026年6月12日·3 min

AI Agent Learning Roadmap: A Four-Stage Plan from Zero to Hands-On

A systematic four-stage AI Agent learning roadmap covering LLM API calls, ReAct paradigm, memory mechanisms, and multi-agent collaboration for beginners.

2026年6月12日·4 min

AI Agent in Practice: Building a Commercial-Grade Programming Agent from Scratch

A deep dive into AI Agent development, from the core principles of perception-decision-action to a Vue3 auto-creation demo, covering LangChain, LangGraph, MCP, and the full tech stack.

2026年6月12日·3 min

Hermes Overhaul in Practice: Building a Multi-Model Orchestration Master Agent System

How to transform the Hermes Agent framework into a unified orchestration hub with intelligent routing across Claude, Gemini, and Codex, featuring inter-Agent communication, task monitoring, and more.

2026年6月12日·3 min

AI Agent Tutorial Collection: Complete Coverage of Multi-Agent, Memory, and Reasoning

Open-source AI Agent tutorial project with 2600+ GitHub Stars covering multi-agent systems, memory, planning, and reasoning loops via Jupyter Notebooks for hands-on learning.

2026年6月12日·3 min

Hermes Agent Deep Dive: A Self-Evolving Agent Architecture with Practical Implementation Guide

Deep dive into Hermes Agent's core architecture: four-layer memory system, Skill self-evolution mechanism, Harness Engineering methodology, OpenCloud comparison, and Feishu integration tutorial.

2026年6月12日·3 min

What Is Claude Code? A Guide to Choosing Between Terminal Agents and Device Agents

Explore Claude Code's core strengths and two major AI Agent categories. Compare Terminal Agents vs Device Agents, learn why Claude Code leads enterprise AI coding, and how to pair it with DeepSeek.

2026年6月12日·3 min

Nexent Open-Source Platform: Zero-Code Auto-Generation of Production-Grade AI Agents

Deep dive into Nexent's open-source platform for zero-code production-grade AI Agent generation, covering Harness Engineering, built-in controls, use cases, and comparisons with AutoGen and CrewAI.

2026年6月12日·1 min

OpenAgent: A Deep Dive into the Open-Source AI Personal Assistant Built on LLM + RAG

Deep dive into OpenAgent, an open-source AI assistant featuring Computer Use, Browser Use, and Coding Agent capabilities, built on LLM + RAG + Agent Loops.

2026年6月12日·3 min

Deep Dive into Claude Cloud Agent Memory System Architecture: CMA Design Philosophy and Technical Choices

Deep analysis of Anthropic's Cloud Managed Agents memory architecture, covering file-first strategy, memory store reuse, Dreaming async consolidation, and key differences from Claude Code's memory system.

2026年6月11日·2 min

Hermes Agent Local Deployment Guide: An AI Assistant Framework with Built-in Coding Capabilities and Self-Evolution

A detailed guide to deploying Hermes Agent locally, covering built-in Cloud Code capabilities, self-evolving Skill generation, low token usage, multi-platform support, and WeChat remote control.

2026年6月11日·2 min

Getting Started with Trae Solo: Why It's the Best Entry Point for AI Agents

A detailed guide to Trae Solo as the best AI Agent starter tool: free, zero setup, ByteDance ecosystem, and local file access. Includes usage tips and AI tool selection methodology.

2026年6月10日·3 min

Android Skills Explained: An Open-Standard Instruction Set System for AI

Deep dive into Google's Android Skills open standard: how this AI instruction set uses structured Markdown files to solve LLM training data lag, covering XML-to-Compose migration, Navigation 3, and custom authoring best practices.

2026年6月10日·2 min

Fable 5 Released: An AI Coding Tool Built for Complex Software Engineering

Fable 5 officially launches, targeting high-complexity software engineering with five core capabilities: code review, architectural reasoning, large-scale project planning, multi-step task orchestration, and high-stakes engineering support.

2026年6月10日·2 min

Chaos in the AI Training Industry: A Deep Dive into Clickbait and the Instructor Shortage Crisis

An AI training instructor's candid self-disclosure reveals clickbait practices, instructor shortages, and traffic anxiety in China's booming AI training industry, with tips for learners.

2026年6月9日·2 min

Integrating AI Agents into Project Management Tools: A Practical Upgrade from Chat Assistant to Task Execution

A developer upgraded their project management tool's AI from a simple chatbot to an intelligent Agent capable of data queries, document generation, and automated task execution using Function Calling.

2026年6月9日·3 min

GitHub Universe 2026 Returns: Officially Entering the AI Agent Era

GitHub Universe returns Oct 28-29, 2026 at Fort Mason Center, San Francisco, themed around the Agentic Era. From Copilot to AI Agents, GitHub leads software development into autonomous intelligence.

2026年6月9日·4 min

PeakCode Open-Source AI Coding Tool: An All-in-One Solution Combining Claude Code and Codex

PeakCode is an open-source AI coding tool combining Claude Code's engineering power with Codex's UX, featuring Web/desktop modes, plugins, Git integration, and automated Agent capabilities.

2026年6月9日·2 min

API to MCP Tool in One Click: Let AI Agents Easily Call Any API

Learn how the open-source API to MCP tool converts any REST API into an MCP Server with one command, enabling Claude Code and Codex agents to call third-party APIs directly.

2026年6月9日·3 min

Fixing Tool Confusion: A Practical Method to Make DeepSeek v4 Outperform Opus

Deep dive into DeepSeek v4's Tool Confusion problem and its deterministic fix. Repair Logic dramatically improves open-source model tool call accuracy, outperforming Claude Opus 4.7 in practice.

2026年6月9日·4 min

MCP vs Function Calling: Core Differences and Selection Guide

Deep dive into 3 core differences between MCP and Function Calling: coupling, interaction breadth, and security. Learn why AI needs a unified protocol and how to choose the right approach.