Kevin

[そう｜Claude Codeで始めるAI自動化 @so_ainsight]

今週GitHubで急上昇したAIリポジトリ10選：

1. headroom
LLMに渡す前にログ・ファイル・RAGチャンクを圧縮し、トークン消費を60〜95%削減するツール。ライブラリ・プロキシ・MCPサーバーの3つの形で組み込める。
https://t.co/HRNQTDMZHZ

2. Agent-Reach
Twitter・Reddit・YouTube・GitHubなど主要プラットフォームをAIエージェントに横断検索させるツール。APIキー不要でCLI1本から動く。
https://t.co/fWlNy20yya

3. agent-skills（addyosmani）
コーディングエージェント向けの本番品質スキルセット。AIアシスタントを実務レベルで動かすための土台。
https://t.co/ufDpmNWJJR

4. SkillSpector（NVIDIA）
AIエージェントスキルの脆弱性・悪意あるパターン・セキュリティリスクを検出するスキャナー。NVIDIAが公開したエージェント安全対策ツール。
https://t.co/ipaVNNV08L

5. codebase-memory-mcp
コードベースを永続的な知識グラフとしてインデックス化するMCPサーバー。158言語に対応し、依存ゼロの単一バイナリで動く。
https://t.co/TXgffRKo7N

6. OpenMontage
AIコーディングアシスタントを動画制作の環境に変えるオープンソースシステム。12本のパイプラインと52種のツールを搭載する。
https://t.co/4AEROy0RZe

7. PaddleOCR
PDFや画像を、AIが扱いやすい構造化データに変換する軽量OCRツールキット。100言語以上に対応し、LLMへの入力前処理に使える。
https://t.co/CrLQeLJYCA

8. agentsview
Claude Code・Codexなど20以上のコーディングエージェントのセッション履歴・トークン使用量・インサイトを、ローカルで検索・分析できるツール。
https://t.co/ou8CRLELp8

9. LMCache
LLMのKVキャッシュを高速化する専用レイヤー。同じコンテキストの再計算を省き、推論コストと遅延を下げる。
https://t.co/1JSvQHpaR2

10. flue（withastro）
自律エージェントを構築・実行するためのTypeScript製ハーネスフレームワーク。セッション・ツール・スキルに加え、安全な実行のためのサンドボックスを備える。
https://t.co/87sBJvrkFZ

[precis0x @precisox]

Acaban de lanzar una herramienta brutalmente útil y 100% open source

Se llama docker android y permite ejecutar un emulador completo de Android dentro de un contenedor Docker.

Sí, leíste bien: puedes tener un teléfono Android virtual completo, aislado, reproducible y fácil de desplegar con solo un comando de Docker.

Por qué es interesante?

- Es minimalista y altamente personalizable
- Funciona en modo headless (sin interfaz gráfica)
- Soporta aceleración por hardware con KVM
- Puedes elegir la versión de Android que necesites (varios API levels disponibles)
- Incluye ADB listo para usar
- Se integra perfectamente con scrcpy para controlar la pantalla de forma remota
- Ideal para CI/CD, pruebas automatizadas, desarrollo y debugging

Todo está en un solo contenedor Docker, lo que significa que puedes levantar entornos Android limpios, consistentes y escalables en segundos, sin tener que instalar emuladores pesados localmente ni lidiar con configuraciones complicadas.

Repositorio oficial 100% open source - MIT License

Estás trabajando en pruebas de apps Android, automatizaciones o entornos de desarrollo? Esta herramienta puede ahorrarte muchísimo tiempo y dolores de cabeza.

Cuéntame para qué la usarías?

Repo en los comentarios 👇

[Tech with Mak @techNmak]

Someone finally documented how to actually use Claude Code.

58K+ stars. claude-code-best-practice.

Direct from Boris Cherny and team:
➡️ Always use plan mode, give Claude a way to verify
➡️ Ask Claude to interview you using AskUserQuestion tool
➡️ Use Git Worktrees for parallel development
➡️ /loop - schedule recurring tasks for up to 7 days
➡️ Code Review - fresh context windows catch bugs the original agent missed
➡️ Make phase-wise gated plans with tests for each phase
→ Use cross-model (Claude Code + Codex) to review your plan
➡️ CLAUDE[.]md should target under 200 lines per file
➡️ Use commands for workflows instead of sub-agents
➡️ Have feature-specific sub-agents with skills instead of general QA or backend engineer
➡️ Vanilla Claude Code is better than complex workflows for smaller tasks
→ Take screenshots and share with Claude when stuck
➡️ Use MCP to let Claude see Chrome console logs
➡️ Ask Claude to run terminal as background task for better debugging
➡️ Use cross-model for QA - e.g. Codex for plan and implementation review
➡️ Context rot kicks in around 300-400k tokens, don't let sessions drift past that
➡️ Rewind > correct, /rewind back to before the failed attempt instead of polluting context
➡️ /schedule - cloud-based recurring tasks that run even when your machine is off
➡️ Auto mode instead of dangerously-skip-permissions, a model-based classifier decides if each command is safe
➡️ Build a Gotchas section in every skill, add Claude's failure points over time

The community workflows included:
➡️ Superpowers (234K stars), brainstorming → git worktrees → subagent-driven development → TDD
➡️ Everything Claude Code (219K stars), /ecc:plan → /tdd → /code-review → /security-scan → merge
➡️ Matt Pocock Skills (138K stars), /grill-with-docs → /to-prd → /triage → /tdd → /handoff
➡️ Spec Kit (114K stars), specify → clarify → plan → tasks → implement → analyze
➡️ gstack (112K stars), office-hours → CEO/eng/design reviews → spec → qa → ship → canary
➡️ Cross-Model (Claude Code + Codex) Workflow
➡️ RPI (Research Plan Implement)
➡️ Ralph Wiggum Loop for autonomous tasks

The billion-dollar questions it addresses:
➡️ What exactly should you put inside CLAUDE[.]md, and what should you leave out?
➡️ When should you use command vs agent vs skill?
➡️ Why does Claude still ignore CLAUDE[.]md instructions, even when they say MUST in all caps?
➡️ Can we convert a codebase into specs and have AI regenerate the exact same code from those specs alone?
➡️ Should you rely on Claude Code's built-in plan mode, or build your own planning command?

The daily habits:
➡️ Update Claude Code daily
➡️ Start your day by reading the changelog
➡️ Follow r/ClaudeAI, r/ClaudeCode on Reddit

Repost it. Bookmark it. 👇

Here's the GitHub Repo: https://t.co/3yAfJnFchp

[How To Prompt @HowToPrompt__]

this is 100% illegal..

a student reverse-engineered Apple's secret AirPods protocol.. now every 'iPhone-only' feature works on Android & Linux..

and it's completely free and open-source.

[Jason Zhou @jasonzhou1993]

Loop Engineering is getting hype now.
But not many talks about how to actually do it

So I open-sourced the template my team uses to build agent loops:
- a shared artifact / knowledge layer
- logging, verification
- and a codebase harness so work compounds across runs

Plus a 20-min deep dive on how to think about it and set it up for real: https://t.co/b3m22eX8oI

Copy the template. Adapt it to your own loops.

[Ridark @ridark_eth]

I genuinely don't understand why everyone isn't using this yet

Andrej Karpathy, a co-founder of OpenAI, posted a simple idea that hit 16 million views: stop using AI to write code, use it to build a second brain.

You point Claude Code at a folder, drop in any source, an article, a transcript, a PDF, and Claude reads it, links it, and files it into a living wiki of everything you know. It compounds like interest, the more you feed it, the smarter it gets.

Here's the whole thing:

> Install Obsidian, create a vault, open it in Claude Code

> Paste Karpathy's wiki idea file and tell Claude to build it

> Claude makes three folders: raw for sources, wiki for its pages, a CLAUDE.md that runs it

> Drop any source into raw and say "ingest this"

> Ask questions across everything, forever

Five minutes to set up, and you never start from a blank chat again.

Full step-by-step guide with Claude and Obsidian, link below.

Bookmark this

[Vercel @vercel]

Introducing eve, an agent framework.

𝚊𝚐𝚎𝚗𝚝/
𝚊𝚐𝚎𝚗𝚝.𝚝𝚜
𝚒𝚗𝚜𝚝𝚛𝚞𝚌𝚝𝚒𝚘𝚗𝚜.𝚖𝚍
𝚝𝚘𝚘𝚕𝚜/
𝚜𝚔𝚒𝚕𝚕𝚜/
𝚜𝚊𝚗𝚍𝚋𝚘𝚡/
𝚜𝚌𝚑𝚎𝚍𝚞𝚕𝚎𝚜/

Like Next.js, for agents.
https://t.co/ezUIGLkSqG

[Kevin @kevariable]

shipped phpclaw-laravel: an open-source AI agent for laravel 🐘

tools, terminal chat, memory, browser control. works with any LLM (prism, laravel-ai, or your own). SOLID + CQRS, 100% test coverage.

composer require kevariable/phpclaw-laravel
https://t.co/cfrY9yq2Gh

[Anuj @anujcodes_21]

🚨 Anthropic just showed a 24-minute workshop on how to actually do prompts for Claude.

Taught by the people who built it.

Free. No registration. No paywall.

I've seen $300 courses that don't cover what they teach in the first 8 minutes.

Watch it and bookmark it now.

[Hanako @hanakoxbt]

Anthropic Claude Code engineer:

"If you're watching Claude write code, you're the QA tester. That's not what you're paid for."

In 37 minutes he lays out how to get your keyboard out of the hot path entirely.

The shift is /loop. You tell Claude to wake up every 10 minutes and babysit your PRs, and it just does it, while you're nowhere near the laptop.

Routines do the same in the cloud, so the work keeps running with your machine closed.

He caps it with remote control: any session, on any surface, driven from your phone.

Watch the full talk, then grab the setup below.

[Tom Dörr @tom_doerr]

Curated list of free courses with certificates

https://t.co/iBJeg1Kth1

[Miguel Ángel Durán @midudev]

UI Skills es un directorio de skills para tu IA, para que deje de crear diseños genéricos y aburridos.

Seleccionados a mano y con animaciones:
→ https://t.co/eHY4XFWrcs

[rob. @robiartec]

HICIERON UN CAPCUT GRATIS Y SIN MARCAS DE AGUA, Y TIENE 55K STARS EN GITHUB

CapCut te mete marca de agua, te bloquea funciones y encima te cobra suscripción. Un grupo de devs se cansó y construyó la alternativa open source.

→ Editor de vídeo completo, sin marcas de agua ni paywalls

→ Compatible con web, escritorio y móvil → Open source con licencia MIT

→ Servidor MCP incluido para agentes de IA

→ Se está reescribiendo en Rust desde cero con API, plugins y scripting

Se llama OpenCut y es exactamente lo que CapCut debería haber sido desde el principio.

Te lo explico abajo (link de la repoo también) ⬇️

[Caleb Porzio ⚡️ @calebporzio]

like imagine, just click and drag stuff in your app, ask an ai to reimagine it, undo it if you don't like it...

and it's actually editing your source files

and because it's all flux components its staying on the rails of a well thought out design system

[Kshitij Mishra | AI & Tech @DAIEvolutionHub]

Someone on GitHub just shared a massive list of free projects that are ridiculously good.

Many of them can already replace software people are paying monthly subscriptions for.

1. TradingAgents
AI-powered multi-agent quantitative trading framework
https://t.co/xunNFf8ZxT

2. LibreChat
A unified interface for ChatGPT, Claude, Gemini, and other AI models
https://t.co/MJbeSPkVA1

3. HyperFrames
HeyGen's open-source video generation engine
https://t.co/qLPxS9JJL9

4. Fincept Terminal
An open-source alternative to the Bloomberg Terminal
https://t.co/CZvl5bAd63

5. MoneyPrinterTurbo
AI that generates short-form videos with a single click
https://t.co/7Bgikd2DsQ

6. Agentic Inbox
Cloudflare's open-source AI email assistant
https://t.co/LLRoslkkCL

7. VoxCPM
AI voice cloning platform
https://t.co/UzExPt8eFd

8. Flowsint
Open-source OSINT intelligence analysis tool
https://t.co/kBlOzgRKAs

9. agent-skills
A library of coding skills for Claude
https://t.co/Pxwwo42xnN

10. Nango
Open-source API integration platform
https://t.co/hQNCgSJtlg

These aren't toy projects.

A lot of the software you're still paying monthly for already has open-source alternatives built by developers on GitHub.

Some of the most powerful tools on the internet aren't being advertised.

They're hidden in GitHub repositories.

[Isra @israfill]

your agent can search Twitter, Reddit, and GitHub for free - zero API keys, zero billing 😳

agent-reach is trending on github with 23K stars. it lets your AI agent read Twitter posts, browse Reddit threads, search GitHub repos, watch YouTube videos - all without paying for a single API subscription

what your agent accesses for $0:
- Twitter/X posts, profiles, and search
- Reddit threads and comments
- YouTube videos, metadata, and search
- GitHub repos, issues, and profiles
- 10+ more platforms - all in one pip install

what this replaces:
- Twitter API: $100/mo for basic access
- Reddit API: rate-limited free tier, expensive at scale
- YouTube API: quota limits, pay for more
- GitHub API: generous but still rate-limited

why this matters:
- most AI agents are blind to the internet because APIs cost money
- this gives any agent real-time web access at zero marginal cost
- perfect for research agents, content radar, competitive intel, market analysis

how to set up (2 min):

> pip install agent-reach
> run: agent-reach doctor
> connect it to your agent as a tool
> done - your agent can now search the internet for free

important:
- uses direct parsing, not official APIs - no keys needed
- works with claude code, cursor, aider, langchain, any agent framework
- MIT licensed, fully open source
- not for production web scraping at scale - use for agentic research and prototyping
- 23K stars and trending - community vetted

let your agent browse Twitter, Reddit, and GitHub for $0
while everyone else is paying $100+/mo for API access

bookmark this before payying for extra api

↓ repo in comment

[shadcn @shadcn]

In light of what happened, I'm doubling down on skills like /improve.

A frontier model got pulled. If it happened once, it's gonna happen again. Fable today. 4.9 tomorrow or maybe gpt 6 one day.

So, treat intelligence as borrowed. Drain intelligence when it's available. Build a catalog of plans today. Then implement later with a cheaper, open source, or a model you control.

Build the backlog now.

https://t.co/rqHw0fPv4G

[CJ Zafir @cjzafir]

Here's a teaser of our Mac-1 model.

> 6.6B model
> runs locally (on any Mac)
> requires 7GB RAM (12GB ideal)
> can use 487 MacOS native tools
> perform multi-tool chained tasks
> reasoning: ON
> output: ~65 tok/s

We built a robust application layer around the model to make UI/UX MacOS native. The "model-focused" SaaS era is here.

Stay tuned for more.

[Kevin @kevariable]

@pavellaslov @RoundtableSpace Are you using claude code to execute DeepSeek?

[Jordi Boggiano @seldaek]

Composer 2.10 is out.

Native malware filtering via @AikidoSecurity, enabled by default on @Packagist. Plus a unified config.policy framework, deprecated source fallback, and wildcards in --with.

#php #phpc #composerphp