629 related articles
Claude Code 2.0 Complete Breakdown: Ch…
Deep dive into Claude Code 2.0's core features: checkpoint rollback, context window visualization, usage tracking, native VS Code extension, and MCP server integration, with comparisons to Cursor and Codex.
CrewAI Multi-Agent Collaboration in Pr…
A deep dive into CrewAI's four core concepts for multi-agent collaboration, with hands-on FastAPI deployment and a comparison of GPT-4o-mini, Qwen MAX, and Llama 3.1.
memU Memory Framework Explained: Unify…
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.
Practical Guide to Building Multi-Agen…
Learn how to build a multi-Agent collaborative system with CrewAI and FastAPI. Covers Agent, Task, Crew concepts, GPT/Tongyi Qianwen/Ollama integration, with complete code examples and model comparisons.
Baidu Open-Sources LoneForge Multimoda…
Baidu Intelligent Cloud open-sources LoneForge, a multimodal training framework under Apache 2.0 with 20+ models supported, 15%-45% speedup, up to 4.8x acceleration, and cross-platform GPU/Kunlun chip support.
WenzAgent Open-Source Framework: A Pra…
A detailed guide on deploying WenzAgent, an open-source multi-Agent management framework under Apache License, supporting LAN-based multi-device AI agent collaboration with Server-Client architecture.
UE5 + AI in Practice: Using MCP to Bri…
Hands-on guide: Using AI tool OpenCode with Unreal Engine MCP to automate C++ coding and Blueprint operations, with workflow best practices and lessons learned.
Optimize Anything: One API to Unify Op…
UC Berkeley and Stanford propose Optimize Anything, a universal text optimization framework that unifies optimization of CUDA kernels, agent architectures, and prompts through one declarative API.
Building an Agent Framework from Scrat…
Learn how to split AI Agent capabilities into four modules—Tool Registry, Message Store, Agent Runtime, and Built-in Tools—and build a reusable, extensible Agent framework using Python decorators.
Getting Started with LangChain: Core C…
A systematic guide to LangChain's core features, covering LLM vs. Agent concepts, unified interface design, multi-provider support, environment setup, and hands-on code examples for AI app development.
Hermes Self-Evolution Framework: An Op…
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
Generic Agent: A Self-Evolving AI Agen…
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
Codex + Claude Code + Cursor: A Practi…
A deep breakdown of Codex, Claude Code, and Cursor — their positioning, collaboration methods, and a complete practical workflow with pricing and role-based pairing recommendations.
Deep Dive into Claude Code SDK: A New …
In-depth analysis of Anthropic's Claude Code SDK & GitHub Action: piping, structured output, permissions, session resumption, and fully automated Issue-to-PR workflows.
Why Qwen3 Is the Best Open-Source Mode…
Analysis of Qwen3's advantages for MCP agent development, comparing DeepSeek R1's lack of Function Calling, covering MoE architecture and thinking mode switching.
Cursor Major Update: A Complete Breakd…
Deep dive into Cursor's latest update: new cross-file Tab model, Background Agent for autonomous coding, Max Mode for all models, inline editing upgrades, and more AI programming features.
AI Agent Learning Roadmap: From Beginn…
A detailed three-month AI Agent learning roadmap covering LLM basics, ReAct paradigm, LangChain, memory mechanisms, tool calling, and multi-agent collaboration with practical project suggestions.
The Complete Guide to Cursor 2.0: Plan…
A detailed guide to Cursor 2.0's three AI modes (Plan, Agent, Ask) and core features including inline editing, multi-Agent parallelism, project rules, and version control for efficient AI-powered development.
Cursor 2.0-2.3 Core Evolution: AI Prog…
Deep dive into Cursor 2.0-2.3: multi-agent parallel programming, auto-evaluation, built-in browser, runtime debugging—pushing developers from coders to AI fleet commanders.
Cursor 2.0 In-Depth Review: Five Major…
In-depth analysis of Cursor 2.0's five core updates: custom Composer model speed tests, Git Worktrees multi-agent parallel development, built-in browser, and a three-model comparison of Claude, GPT-5, and Composer.