#AI编程
9513 related articles
LangChat ai-tutorials: A Beginner's Guide to AI App Development for Java Developers
LangChat ai-tutorials is a beginner-friendly Java AI tutorial series built on langchain4j, covering RAG, Agent, and MCP for Java developers entering AI development.
AIAgentCogNest: An Open-Source AI Agent Knowledge Incubation & Development Tutorial Project
AIAgentCogNest is an open-source AI Agent knowledge incubation project offering structured LLM application development tutorials for developers, engineers, and teams transitioning to AI.
MetaGPT Explained: Building the First AI Software Company with a Multi-Agent Framework
MetaGPT is an open-source multi-agent framework with 67K+ GitHub stars that simulates a full AI software company — with PM, architect, and engineer agents — to enable natural language programming.
wshobson/agents: A Multi-Agent Orchestration Framework for Claude Code
wshobson/agents is an open-source multi-agent orchestration framework for Claude Code with ~35K GitHub Stars, enabling specialized agents to collaborate on complex dev tasks.
AI Agent Development Tutorial Project Overview: A Learning Path from Zero to Monetization
A look at the open-source project zdnuist/ai-agent-tutorial, which aims to guide developers from AI Agent basics to monetization — covering tools, frameworks, and real-world deployment.
ChatDev 2.0: Building a Virtual Software Company with Multi-Agent Collaboration
ChatDev 2.0 is an open-source multi-agent framework by OpenBMB where LLM-driven AI agents act as CEO, programmer, and QA roles to simulate a virtual software company and automate the full dev lifecycle.
Redefining Long-Term Memory in AI Agents: From Retrieval to State Management
Is long-term memory in AI agents really just a retrieval problem? One developer found stale-memory resolution caused 37% of failures — adding a state resolution layer boosted accuracy from 33% to 78%.
OpenAI Swarm: A Deep Dive into the Lightweight Multi-Agent Orchestration Framework
OpenAI Swarm is a lightweight educational multi-agent orchestration framework built around two primitives: Agent and Handoff. Learn its core mechanics, design philosophy, and ideal use cases.
oh-my-claudecode: A Multi-Agent Orchestration Tool for Teams Built on Claude Code
oh-my-claudecode is an open-source TypeScript multi-agent orchestration tool for Claude Code teams, with 32K+ GitHub Stars. Explore its design, use cases, and team-first philosophy.
ai-coding-guide: A Practical Guide to 66 Claude Code Tips and 9 AI Coding Tools
The open-source project ai-coding-guide compiles 66 Claude Code tips, best practices for 9 AI coding tools, and copy-ready config templates to help developers level up their AI coding workflow.
OpenAI Agents SDK: A Deep Dive into the Lightweight Multi-Agent Framework
OpenAI's openai-agents-python is a lightweight multi-agent Python framework for building multi-agent workflows. Learn its design philosophy, community traction, and best use cases.
AgentScope: A Deep Dive into an Observable, Trustworthy Multi-Agent Development Framework
AgentScope is an open-source Python multi-agent framework built around observability, helping developers see, understand, and trust their AI agents in production.
GenAI_Agents: An Open-Source Treasure Trove of 50+ AI Agent Development Tutorials
GenAI_Agents is a popular open-source repo with 50+ Generative AI agent tutorials and runnable code, covering everything from simple chatbots to complex multi-agent systems.
WeChat Mini Game Development Spec: A Skill Guide for Getting Claude Code to Write Correct Code
The open-source project weixin-game-skill provides a structured WeChat Mini Game spec guide for AI coding tools like Claude Code, reducing non-compliant code generation.
Claude Code Best Practices: From Vibe Coding to Agentic Engineering
ClaudeCode-BestPractice is an open-source guide covering decision trees, anti-patterns, troubleshooting, and FAQs to help developers go from vibe coding to agentic engineering with Claude Code.
AgentsDock: A Dedicated IDE Built for Agentic AI Research
AgentsDock is an IDE built for agentic AI research, targeting observability and debugging in multi-agent systems. Analysis of its positioning vs. LangChain and the broader agent tooling trend.
SoulFlow-Orchestrator: A Self-Hosted, Vendor-Lock-In-Free AI Agent Runtime
SoulFlow-Orchestrator is an open-source, self-hosted AI agent runtime with no vendor lock-in. Supports 9 neutral backends (Claude, OpenAI, Ollama), 141-node workflow engine, multi-agent loops, and HITL gates.
Chinese Full-Stack Agent Skills: A Skill Library Tailored for Domestic AI-Assisted Development
chinese-fullstack-skills is an Agent Skills library for Chinese full-stack development, covering Vue/React, Node/Go, and domestic cloud deployment best practices. Compatible with Claude Code, Cursor, Kiro, and Codex.
Paradigm Memory: A Local-First Memory System for AI Coding Assistants
paradigm-memory is a local MCP memory tool for Claude Code, Cursor, and Cline. It uses SQLite local storage, zero cloud, full audit trails, and a navigable cognitive map instead of bloated context files.
ai-worklog: A Local-First Tool for Tracking and Summarizing AI Coding Sessions
ai-worklog is a local-first open-source CLI tool that tracks and summarizes AI coding sessions across GitHub Copilot, Claude Code, and OpenAI Codex — no cloud, no API key, no telemetry.