🛠️ 想真正搞懂 Claude Code 这类 AI Agent 底层怎么搭，这个开源项目从 0 手写了一个给你看 GitHub 揽获 66.5K Star，还上了 Trendshift 热榜 Agent 的智能来自模型本身，你能做的不是「造智能」，而是给模型搭一个能干活的手脚——工具、知识、观察、权限，这套东西叫 harness。 项目就带你用极简的代码，从零搭一个 nano 版的 Claude Code，把 agent harness 怎么运转彻底讲明白。 以前你用 Claude Code 只知道它好用，但里面的循环、工具调用、上下文、子任务怎么协作全是黑箱； 跟着这个项目走一遍，你会从「会用 Agent」变成「懂怎么搭 Agent」，这正是现在最稀缺的 harness engineering 能力。 如果你在做 AI Agent，或者想吃透 Claude Code，强烈建议刷一遍。 GitHub：github.com/shareAI-lab/learn…

Hari ini repo GitHub mana yang lagi panas? Ini 10 repo trending harian dari Trendshift — disajikan dengan konteks editorial, bukan cuma daftar bintang. Cek peringkat hari ini ↓ wawasanai.com/repo/daily #TopDailyRepo #GitHubTrending #AI #DeveloperIndonesia #WawasanAI

I rarely see trendshift mentioned anywhere (other than my own yapping😅). It still does ~120k visits/month, I am glad it's useful for so many people 🙏

you should make an automatic weekly trendshift newsletter

Writing Claude Code skills by hand, the silent killer is a skill that never auto-triggers because its description is too vague — nothing tells you. npx create-claude-skill MIT · github.com/dapphari007/claud… @trendshift @claudeai @vibecoder #employed2026

A GRAD STUDENT WITH 32 FOLLOWERS JUST HIT 56,400 STARS. His name is Yuxiang Lin. GitHub handle: Lum1104. He's at Georgia Tech. He researches multimodal emotion recognition. He plays badminton in his spare time. His personal site is a .dev subdomain. His pinned bio still says he's "currently working on LLM agents." A few months ago he had 655 stars on a side project called Understand-Anything — a plugin that turns any codebase into an interactive knowledge graph. Then everything broke open. The project got picked up by Egonex (Infinite Universe, Inc.). It went from a personal repo to an org-backed release. It got translated into Chinese, Traditional Chinese, Japanese, Korean, Russian, and Spanish. It hit Trendshift. 56,400 stars later, it's becoming the default code-understanding plugin for nearly every AI coding tool that exists — Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, OpenClaw, Antigravity, Pi Agent, Vibe CLI, Hermes, Cline, KIMI CLI, and Trae. Here's what the plugin does: → Tree-sitter parses your codebase for the structure → LLM agents add the meaning → Builds a knowledge graph of every file, function, and class → Opens an interactive dashboard you can pan, zoom, and search → Generates guided tours so you learn a 200K-line codebase in the right order → Tells you what your changes break before you commit → Auto-updates on every commit via a post-commit hook 568 commits. 7 releases. MIT license. v2.7.3 shipped May 19, 2026. One honest note: the LLM passes cost real tokens on large repos. The structural graph is free and reproducible. The semantic layer is where your model bill shows up. The README still credits him by name. The license still has his name on it. © Yuxiang Lin and Infinite Universe, Inc. A researcher who studies how machines understand human emotion built the tool that finally teaches machines to understand code. This is what open source was supposed to feel like. 100% Open Source. Repo in the first comment.

A GRAD STUDENT WITH 32 FOLLOWERS JUST HIT 56,400 STARS. His name is Yuxiang Lin. GitHub handle: Lum1104. He's at Georgia Tech. He researches multimodal emotion recognition. He plays badminton in his spare time. His personal site is a .dev subdomain. His pinned bio still says he's "currently working on LLM agents." A few months ago he had 655 stars on a side project called Understand-Anything — a plugin that turns any codebase into an interactive knowledge graph. Then everything broke open. The project got picked up by Egonex (Infinite Universe, Inc.). It went from a personal repo to an org-backed release. It got translated into Chinese, Traditional Chinese, Japanese, Korean, Russian, and Spanish. It hit Trendshift. 56,400 stars later, it's becoming the default code-understanding plugin for nearly every AI coding tool that exists — Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, OpenCode, OpenClaw, Antigravity, Pi Agent, Vibe CLI, Hermes, Cline, KIMI CLI, and Trae. Here's what the plugin does: → Tree-sitter parses your codebase for the structure → LLM agents add the meaning → Builds a knowledge graph of every file, function, and class → Opens an interactive dashboard you can pan, zoom, and search → Generates guided tours so you learn a 200K-line codebase in the right order → Tells you what your changes break before you commit → Auto-updates on every commit via a post-commit hook 568 commits. 7 releases. MIT license. v2.7.3 shipped May 19, 2026. One honest note: the LLM passes cost real tokens on large repos. The structural graph is free and reproducible. The semantic layer is where your model bill shows up. The README still credits him by name. The license still has his name on it. © Yuxiang Lin and Infinite Universe, Inc. A researcher who studies how machines understand human emotion built the tool that finally teaches machines to understand code. This is what open source was supposed to feel like. 100% Open Source. Repo in the first comment.

🔥LUNC DEFEATS BTC!🔥 Luna Classic’s price is skyrocketing, Bitcoin’s dominance is crumbling, and capital is flowing from BTC to LUNC. The old king is falling. The new king is rising💯🔥 #LUNC #LunaClassic #LUNCtoTheMoon #BurnLUNC #TrendShift #BTCtoLUNC #Crypto

BioTender’s awesome-bio-agent-skills has been featured on Trendshift, a third-party GitHub trending analytics platform. The repository provides curated AI agent skills for biomedical research, covering genomics, proteomics, single-cell analysis, and clinical AI, indicating growing visibility for this domain within the open-source community. github.com/BioTender-max/awe…

repo: github.com/Panniantong/Agent… trendshift has it at #1 today. worth testing before trusting cookies / unofficial platform access, but the direction is right: agent capabilities as installable local plumbing.

📈 重磅 ！这个开源项目能每天自动帮你分析自选股，把带评分、买卖点位、风险警报的「决策仪表盘」直接下放到手机。 GitHub 狂揽 4.1w star，上过 Trendshift 榜，还被 HelloGitHub 推荐收录。 散户的日常是这样的：早上起来先开行情软件，翻一遍 K 线，刷公告和新闻，再纠结今天到底该不该动。费个把小时，还容易漏。 用了这个系统之后，打开手机企业微信或飞书，报告已经在那了——AI 跑完了行情、技术指标、资金流、筹码、新闻、公告、基本面，给你一份带核心结论、操作检查清单、催化因素的完整分析。 不确定的时候，还能用内置的 Agent 追问：缠论怎么看、波浪数到哪、均线结构有没有问题，15 种策略直接问。 部署也不复杂，把自选股配好，用 GitHub Actions 定时跑就行，零成本白嫖。支持 DeepSeek、Gemini、通义千问等主流 AI 模型。 每天省下翻盘的时间，至于要不要买，还是得自己决定。 github.com/ZhuLinsen/daily_s…

Brazil has to prove themselves, hopefully anceloti marks a trendshift in them not choking anymore

hopefully 🙏 thanks! love trendshift btw!

Trendshift is tracking it, I bet superlog will be trending today trendshift.io/repositories/4… !

🚨 BREAKING: A university lab just shipped a personal AI agent in 4,000 lines of Python. OpenClaw has 430,000 lines. This does the same job with 99% less code. It's called nanobot. Built by HKUDS at the University of Hong Kong. 40.4K GitHub stars. Here's what 4,000 lines actually gets you: → WebUI with project workspaces and live file-edit activity → WhatsApp, Discord, Telegram, Matrix, Slack, all built in → MCP tool support and model routing across providers → Long-term memory that persists across sessions → Deploy as a Docker container or a Linux service → Runs on ~100MB RAM vs OpenClaw's ~1GB The v0.2.1 Workbench Release just dropped on June 1. It added project workspaces, access controls, CLI app extensions, context-window tuning, and an extension registry. This is not a toy anymore. The entire codebase is small enough to read in an afternoon. That's the point. You can understand every decision the agent makes because there's nowhere for complexity to hide. 40.4K stars. 7.1K forks. #1 on TrendShift weekly. 100% Open Source.

📚 太强了，真的会说话就能做应用——这门 vibe coding 入门课是真的在认真带新手！ 已有 15317 stars，Datawhale 出品必属精品，在 Trendshift 也上榜了。 定位零基础入门：会打字就能开始，不懂代码也没关系，从零一步步清晰引导，不再"学完就忘"。 GitHub：github.com/datawhalechina/ea… 特色三件套让人眼前一亮： - 可视化图文教程像私教陪练 - 沉浸式模拟编码用虚拟鼠标手把手引导你走完 IDE 核心流程 - 还有动画实拆 AI 怎么生成图像——复杂概念直接看懂。 第一部分已支持 10 种语言，有完整的交互式在线教程（datawhalechina.github.io/eas…），不用配环境就能开玩。 说话是你唯一需要的起点，剩下的 easy-vibe 帮你搞定。

Abres un repo nuevo con 50k líneas de código. 10 segundos después estás completamente perdido. Alguien publicó en GitHub la solución que ningún IDE te da. ✅ Convierte cualquier repo o base de conocimiento en un grafo interactivo navegable ✅ Puedes explorar, buscar y hacer preguntas sobre el código directamente ✅ Compatible con Claude Code, Codex, Cursor, Copilot y Gemini CLI ✅ Funciona con el wiki de Karpathy sobre LLMs como demo ✅ Basado en el principio "grafos que enseñan, no grafos que impresionan" ✅ 4.2k estrellas ganadas en una semana. Trending #1 en Trendshift. El mapa que llevo años echando de menos al heredar código de otros. el enlace 👇

Los agentes de IA ya pueden cobrar entre ellos. No es un concepto. Es un repo en GitHub. Se llama Bindu y es la capa de identidad, comunicación y pagos diseñada específicamente para agentes IA. ✅ Identidad para agentes: cada agente tiene su propio perfil verificable ✅ Comunicación entre agentes sin intervención humana ✅ Sistema de pagos integrado para transacciones entre agentes ✅ Infraestructura open source para la economía de agentes autónomos ✅ Trending featured en Trendshift esta semana ✅ MIT La economía donde las personas contratan a agentes que contratan a otros agentes ya está siendo construida. Este repo es parte de la infraestructura. lo tienes abajo 👇

A lot of alts Look the Same. Leading diagonals as wave 1 of the macro trendshift. And as text book as they are, the correction is Sharp and Deep. Also: Basicly no Long liquidity Left. Classic prolonged Bottom here. Fun will follow. Example: $LTC