GitHub Trending 技术趋势 (2026-09-12)
Executive Summary
结论先行
2026-09-12，AI/ML 方向以 69% 的占比主导今日 GitHub Trending，bilawalsidhu/gods-eye-view 以 3,680 stars today 领跑热度榜。
支撑论点
- AI/ML 共收录 11 个项目，占全部 16 个趋势项目的 69%，AI 技术持续引领开源创新。
- 编程语言 Top 3 为 TypeScript(6)、Python(4)、JavaScript(1)，反映出当前主流技术栈偏好。
- 今日共计 12,161 新增 Stars，总 Stars 累计 571,959，开源社区活跃度强劲。
数据概览
技术方向分布
热度排行 Top 5
昨日对比
新上榜项目
退出趋势项目
连续上榜项目
热度变化 Top 5
增长明细
点击展开增长明细表
| 项目 | 排名 | Star 变化 | Fork 变化 | 热度变化 | 连续天数 |
|---|---|---|---|---|---|
| gods-eye-view | #1 ▲1 | +2,838 | +509 | +1,918 | Day 2 |
| i-have-adhd | #2 ▼1 | +3,537 | +164 | -419 | Day 4 |
| superpowers | #4 ▲4 | +681 | +53 | -3 | Day 4 |
| llm_wiki | #5 ▲8 | +637 | +35 | +505 | Day 2 |
| CloddsBot | #6 ▲5 | +508 | +26 | +349 | Day 2 |
| PI-Desktop | #7 ▲3 | +483 | +24 | -72 | Day 3 |
| armorpaint | #8 ▲8 | +304 | +12 | +278 | Day 2 |
AI 发展趋势洞察
主导方向与驱动力： 今日 Trending 以 AI/ML 方向最为突出，共 11 个项目上榜。其中 bilawalsidhu/gods-eye-view 热度最高（3,680 stars today），体现出社区对该领域的持续关注。
编程语言偏好： 今日热门项目中，TypeScript(6 项目)、Python(4 项目)、JavaScript(1 项目) 位列前三。
值得关注的项目： gods-eye-view、i-have-adhd、spec-kit 等项目今日增长迅猛，建议开发者持续跟踪其发展动态。
跨领域融合： 当前 Trending 涵盖 AI/ML、Web开发、编程语言/工具 等方向，反映出技术生态日益交叉融合的趋势。AI 能力正加速渗透到 DevOps、安全、数据库等各基础设施层面。
AI/ML
ayghri/i-have-adhd
A skill to stop your coding agent from burying the answer. ADHD-friendly output.
melgarafael/DeskcommCRM
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.
vastsa/PI-Desktop
Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins
alsk1992/CloddsBot
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
nashsu/llm_wiki
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
obra/superpowers
An agentic skills framework & software development methodology that works.
jihe520/MathModelAgent
🤖📐专为数学建模设计的 Agent & skills ,自动完成数学建模，生成一份完整的可以直接提交的论文。 An Agent Designed for Mathematical Modeling ,Automatically complete mathmodel and generate a complete paper ready for submission.
jordan-gibbs/hyperresearch
Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.
pascalorg/editor
Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.
Web开发
bilawalsidhu/gods-eye-view
A spy satellite simulator in your browser, except the data is real. Live open source spatial intelligence on a photorealistic 3D globe.
melgarafael/DeskcommCRM
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.
vastsa/PI-Desktop
Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins
alsk1992/CloddsBot
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
nashsu/llm_wiki
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
jordan-gibbs/hyperresearch
Agent-driven research knowledge base. Agents collect, search, and synthesize web research into a persistent, searchable wiki.
pascalorg/editor
Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.
编程语言/工具
nashsu/llm_wiki
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
obra/superpowers
An agentic skills framework & software development methodology that works.
pascalorg/editor
Open-source 3D architectural editor with a local CLI, MCP tools, and practical workflows for humans and AI agents.
系统/基础设施
melgarafael/DeskcommCRM
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.
vastsa/PI-Desktop
Local-first AI coding agent desktop: Electron + Rust host core + pi Agent Harness + user-installable plugins
alsk1992/CloddsBot
Open Source AI trading agent that operates autonomously across 1000+ markets - Polymarket, Kalshi, Binance, Hyperliquid, Solana DEXs, 5 EVM chains. Scans for edge, executes instantly, manages risk while you sleep. Agent commerce protocol for machine-to-machine payments. Self-hosted. Built on Claude.
nashsu/llm_wiki
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。
移动开发
melgarafael/DeskcommCRM
Open-source AI sales OS — self-hosted CRM with native AI agents + WhatsApp (WAHA). Open alternative to Kommo, Octadesk & Intercom for any business that sells by chat. MCP-ready, multi-tenant, LGPD.
nashsu/llm_wiki
LLM Wiki is a cross-platform desktop application that turns your documents into an organized, interlinked knowledge base — automatically. Instead of traditional RAG (retrieve-and-answer from scratch every time), the LLM incrementally builds and maintains a persistent wiki from your sources。