23 related articles

Loop Engineering is a paradigm shift in AI usage. Learn how to build automated loops where agents explore, execute, and verify tasks autonomously, with a hands-on e-commerce case study.

A detailed guide to ByteDance's Coze platform covering agent building, workflow orchestration, and knowledge base management to help beginners start AI app development with zero coding.

last30days-skill is a GitHub AI Agent skill with 50K+ Stars, enabling cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.

last30days-skill is a 50K+ Star AI Agent skill on GitHub that performs cross-platform research across Reddit, X, YouTube, Hacker News, and Polymarket to generate grounded 30-day summary reports.
AstrBot: A Deep Dive into the Multi-Pl…
AstrBot is an open-source AI Agent framework supporting WeChat, QQ, Telegram and more, with multi-LLM compatibility and plugin extensibility. Full technical breakdown inside.
GitHub Daily · July 17: AI Coding Infr…
AI coding infrastructure explodes on GitHub: context management, code graphs, and vector indexes become the new battleground as the community shifts from apps to underlying capabilities.

Vibe Coding is reshaping software development — use natural language to direct AI through code, design, testing, and marketing. A guide for solo founders and indie developers.

An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.

Build a smart 2026 World Cup calendar with AI Agent in 6 minutes — zero code, WeChat push notifications, smart match recommendations, and post-match summaries.

Full comparison of Hermes Agent vs Open Cloud: lower token usage, 200+ model support, auto Skill encapsulation, WeChat/DingTalk integration. A cost-effective AI Agent alternative for long-term deployment.

Deep dive into Hermes Agent's core architecture: Agent Loop mechanism, three-layer memory system (Markdown/SQLite/external), Gateway multi-platform integration, context compression, and Cron jobs.

June 2026 GitHub AI trends: Agent ecosystem middleware tools surge — PM Skills, Agent Reach, Graphify, and Skill Spectre signal the Agent middleware era.

Learn how to build a multi-Agent AI team with the HAMAS framework: 5 role configurations, Skill mechanisms, gradient model scheduling, and solutions for AI hallucination and deception.

Hermes Desktop is now available for Windows, macOS, and Linux. This MIT-licensed AI Agent features persistent memory, self-evolution, skill management, and multi-platform integration — completely free.

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.
TutorialsA comprehensive guide to AI Agent development for beginners, covering core concepts, market outlook, LangChain framework, RAG knowledge bases, and hands-on projects to systematically master intelligent agent development skills.
Product ReviewsIn-depth comparison of OpenClaw and Hermes open-source AI Agent frameworks covering architecture, memory systems, auth, plugins, and channel distribution to guide developer selection.
Product ReviewsGeneric Agent is an open-source AI Agent that reduces token consumption by 90% through minimalist tool design, four-layer memory hierarchy, and experience reuse. Supports computer operation, browser automation, Feishu integration, and more.
Product ReviewsDeep dive into Hermes Agent desktop app: closed-loop learning, persistent cross-session memory, multi-agent management, and tool integration. Discover how this open-source AI agent self-evolves to become a true productivity powerhouse.
Tech FrontiersLatest AI coding advances: OpenAI Codex Chrome extension enables browser auth, Everything Cloud Code optimizes multi-platform AI tools, ByteDance UiTARS V0.2.0 adds remote control, ERNIE 5.1 cuts pre-training cost to 6%, Anthropic NLA makes AI thinking readable.