1119 related articles
Deep DivesDeep dive into WKAppBot SDK, an open-source AI Agent automation framework for Windows. Features Computer Use, focusless operation, multi-AI model support, and self-healing capabilities for AI-driven RPA.
Deep DivesOpen Computer Use is an open-source TypeScript AI agent framework enabling automated computer control via browser, terminal, and desktop. Learn about its features, architecture, and comparison with Claude Computer Use.
Deep DivesDeep dive into the Auto-Use open source project—an end-to-end AI Computer Use Agent that unifies OS control, browser automation, and coding. Analysis of architecture, competitors, and industry trends.
Deep DivesAn open-source project based on Anthropic's Computer Use API, computer-use-windows enables AI agents to directly control the Windows desktop for automation tasks including office workflows and software testing.
Deep DivesDeep dive into how Factifai Agent Suite uses vision LLMs like Claude and GPT-4o to replace DOM selectors for natural language-driven automated testing with seamless CI/CD integration.
Deep DivesDeep dive into the open-source project open-computer-use, a computer control agent achieving 82% accuracy on OSWorld benchmark. Covers its TypeScript stack, remote/local deployment, and RPA applications.
Deep DivesComputer Agent is an open-source AI desktop agent built in Rust that controls terminals, browsers, mice, and keyboards via natural language. Explore its features, architecture, and security.
Deep DivesOS AI Computer Use is an open-source AI desktop automation tool supporting Windows, macOS, and Linux with OpenAI and Anthropic API compatibility. Learn about its features, architecture, and safety tips.
Deep DivesOpen-source project claude-skill-video-transcribe supports YouTube, Bilibili, and local video-to-text conversion using a dual strategy: subtitle extraction first, Gemini 2.5 Flash AI transcription as fallback.
Tech FrontiersA deep dive into how the open-source workers-research project combines Cloudflare Workers serverless architecture with Google Gemini 2.5 to build an automated deep research AI agent.
Deep DivesDeep dive into SAP AI Core LLM Proxy, an open-source project providing unified OpenAI-compatible access to GPT-5, Claude 4.6, and Gemini 2.5 Pro for enterprise multi-model management.
Tech FrontiersDeep dive into gemini-nanobanana-pro, a trending GitHub project using Gemini 2.5 Flash to build AI image generation and editing with Next.js + TypeScript.
Deep DivesDeep dive into EverClaw, a decentralized AI inference platform built on Morpheus AI. Stake MOR tokens to access 10+ models including Kimi K2.5 for perpetual inference powering OpenClaw agents.
Tech FrontiersSwarm IDE is an open-source IDE for Agent Swarm multi-agent collaboration, supporting Kimi-2.5, GLM-4.7 and more models with visual orchestration, debugging and management capabilities.
TutorialsA deep dive into the popular GitHub project liyupi/ai-guide covering Vibe Coding tutorials, LLM usage, AI coding tools (Cursor/Claude Code), Prompts, RAG/MCP/Agent concepts — a 13,000+ Stars Chinese AI learning resource hub.
Product ReviewsFast Image Skills is an open-source Python project providing ready-to-use image processing skills for AI agents like Claude Code and Cursor, featuring background removal and auto-crop capabilities.
Product ReviewsDeep dive into CowAgent, a GitHub project with nearly 44,000 stars. Explore its task planning, multi-platform integration, multi-model support, and how this LLM-powered AI assistant serves as both personal helper and enterprise digital employee.
TutorialsLearn how Unsloth uses LoRA optimization and Web UI to efficiently fine-tune Gemma 4, Qwen3, DeepSeek and more on consumer GPUs, with 2-5x speed gains and 50-70% VRAM reduction.
Product ReviewsDeep dive into CowAgent (chatgpt-on-wechat), a 44K-star GitHub project featuring AI Agent capabilities, multi-platform integration with WeChat/Feishu/DingTalk, and multi-model support for building your own AI assistant.
TutorialsUnsloth is an open-source LLM fine-tuning tool with 63K GitHub stars, supporting Gemma 4, Qwen3, and DeepSeek. It achieves multi-fold training speedup and 60% VRAM reduction through kernel optimization, enabling fine-tuning on consumer GPUs.