#Windsurf IDE
568 related articles
Product Reviews·4 min
Xiaohongshu MCP Automation Tool: Complete Content Operations Through AI Conversations
Deep dive into xiaohongshu-mcp-python: an open-source tool using MCP protocol for AI-driven Xiaohongshu automation including publishing, search, and engagement.
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Product Reviews·2 min
AI4Paper: A Zotero AI Plugin for One-Click Literature Reviews and Intelligent Search
AI4Paper is an open-source Zotero AI plugin supporting one-click literature reviews, intelligent search, and AI note management. Compatible with Zotero 7/8/9 and MCP protocol.
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Product Reviews·6 min
130K-Star Open Source Project: Complete Collection of System Prompts from 30 AI Tools
Deep analysis of a 136K-Star GitHub project collecting system prompts from 30 AI tools including Cursor, Claude Code, and Copilot. Master Prompt Engineering techniques and AI product design logic.
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Product Reviews·3 min
Token Savior: The MCP Server That Saves 77% Tokens While Achieving 100% Pass Rate on Claude Benchmarks
Token Savior is an open-source MCP server that cuts Claude's active token usage by 77% and achieves 100% pass rate on 96 coding tasks through structural code navigation and persistent memory.
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Product Reviews·3 min
LibreChat: Complete Guide to Deploying and Using the Open-Source Multi-Model AI Chat Platform
Deep dive into LibreChat, the open-source AI chat platform featuring multi-model switching, MCP protocol, Agents, Code Interpreter, Docker self-hosting, and enterprise-grade capabilities.
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Deep Dives·2 min
Codex CLI /goal Command Explained: A New Paradigm for Goal-Driven Autonomous Coding Agents
OpenAI Codex CLI 0.128.0 adds the /goal command, implementing Ralph Loop-style goal-driven autonomous loops. Learn about its prompt engineering design, token budget safety mechanisms, and impact on coding agents.
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Product Reviews·3 min
awesome-LLM-resources: A Large Language Model Learning Resource Repository with 8000+ Stars
awesome-LLM-resources is a GitHub repo with 8200+ Stars covering multimodal generation, AI Agents, model training/inference, MCP protocol, and more for LLM learners.
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Deep Dives·2 min
awesome-LLM-resources: A Comprehensive LLM Collection with 8000+ Stars, Covering Multimodal, Agent, MCP, and 11 Major Domains
Deep dive into awesome-LLM-resources, a GitHub repo with 8200+ Stars covering multimodal generation, AI Agents, MCP, o1 models, small language models, and more.
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