multica-ai

Does Karpathy know there's a GitHub repo out there with 227k stars which turned his brain into Agent Skills lol multica-ai/andrej-karpathy-skills t.co

Make humans and AI agents work as one team — open-source and self-hostable. multica-ai/multica

3- Karpathy Skills: Modeller senin adına yanlış varsayımlar yapıyor ve kontrol etmeden onları takip ediyorlar. Kafalarını karıştırmıyorlar, açıklama aramıyorlar, tutarsızlıkları ortaya çıkarmıyorlar, takas sunmuyorlar, gerektiğinde karşı koymuyorlar. multica-ai/andrej-karpathy-skills

agent 干活进度看不见，交回来才发现跑偏？ multica 是人与 agent 同看板协作：派 issue 给 agent，跑在自有机器上，进度卡点都汇报，完事交回评审。 带 agent 团队干活的话，看板协作比私聊派活清楚。 先给 agent 派哪类活，修 bug 还是写功能？ #Agent协作 #开源 @grok multica-ai/multica

[개발자들의 PICK] 이번 주 깃허브 트렌딩 결산, 인기 오픈소스 TOP 10 이번 주 깃허브에서 가장 많은 별을 받은 오픈 소스 TOP 10을 10위부터 소개합니다. 소개한 저장소 링크는 고정 댓글에 있습니다. 00:00 이번 주 TOP 10 00:05 10위 안드로이드 스킬 00:51 9위 오르카 01:38 8위 오픈코드 02:15 7위 루플로 02:47 6위 그래피파이 03:32 5위 트레이딩 에이전츠 04:17 4위 카파시 스킬 04:56 3위 클로드 SEO 05:35 2위 지식 노동 플러그인 06:14 1위 클라우드플레어 시큐리티 오딧 스킬 06:55 마무리 📌 이번 주! 깃허브 트렌딩 TOP 10 저장소 10위 안드로이드 스킬 — android/skills 9위 오르카 — stablyai/orca 8위 오픈코드 — anomalyco/opencode 7위 루플로 — ruvnet/ruflo 6위 그래피파이 — Graphify-Labs/graphify 5위 트레이딩 에이전츠 — TauricResearch/TradingAgents 4위 카파시 스킬 — multica-ai/andrej-karpathy-skills 3위 클로드 SEO — AgriciDaniel/claude-seo 2위 지식 노동 플러그인 — anthropics/knowledge-work-plugins 1위 클라우드플레어 시큐리티 오딧 스킬 — cloudflare/security-audit-skill [en-US] [Developer's PICK] This Week's GitHub Trending Roundup, Top 10 Popular Open Source Projects Here are the Top 10 Open Sources with the Most Stars on GitHub this week, starting from 10th place. Links to the featured repositories are in the pinned comment. 00:00 This Week's Top 10 00:05 10th Android Skills 00:51 9th Orca 01:38 8th OpenCode 02:15 7th Luplo 02:47 6th Graphify 03:32 5th Trading Agents 04:17 4th Kapasi Skills 04:56 3rd Claude SEO 05:35 2nd Knowledge Work Plugin 06:14 1st Cloudflare Security Audit Skills 06:55 Wrap-up 📌 This Week! GitHub Trending Top 10 Repositories 10th Android Skills — android/skills 9th Orca — stablyai/orca 8th Open Code — anomalyco/opencode 7th Ruflo — ruvnet/ruflo 6th Graphify — Graphify-Labs/graphify 5th Trading Agents — TauricResearch/TradingAgents 4th Karpathy Skills — multica-ai/andrej-karpathy-skills 3rd Claude SEO — AgriciDaniel/claude-seo 2nd Knowledge Work Plugins — anthropics/knowledge-work-plugins 1st Cloudflare Security Audit Skills — cloudflare/security-audit-skill [id] [Pilihan Pengembang] Rekap Trending GitHub Minggu Ini, 10 Open Source Terpopuler Berikut adalah 10 Open Source Teratas dengan Bintang Terbanyak di GitHub minggu ini, dimulai dari peringkat ke-10. Tautan ke repositori unggulan ada di komentar yang disematkan. 00:00 10 Teratas Minggu Ini 00:05 Peringkat ke-10 Android Skills 00:51 Peringkat ke-9 Orca 01:38 Peringkat ke-8 OpenCode 02:15 Peringkat ke-7 Luplo 02:47 Peringkat ke-6 Graphify 03:32 Peringkat ke-5 Trading Agents 04:17 Peringkat ke-4 Kapasi Skills 04:56 Peringkat ke-3 Claude SEO 05:35 Peringkat ke-2 Knowledge Work Plugin 06:14 Peringkat ke-1 Cloudflare Security Audit Skills 06:55 Ringkasan 📌 Minggu Ini! 10 Repositori Terpopuler di GitHub 10 Android Skills — android/skills 9 Orca — stablyai/orca 8 Open Code — anomalyco/opencode 7 Ruflo — ruvnet/ruflo 6 Graphify — Graphify-Labs/graphify 5 Trading Agents — TauricResearch/TradingAgents 4 Karpathy Skills — multica-ai/andrej-karpathy-skills 3 Claude SEO — AgriciDaniel/claude-seo 2 Knowledge Work Plugins — anthropics/knowledge-work-plugins 1 Cloudflare Security Audit Skills — cloudflare/security-audit-skill

CLAUDE.md Best Practices: A Template for Unattended Agents Originally published at Unattended. CLAUDE.md best practices come down to three things. Keep the file short. Include only what Claude can't work out from the code. Write it so that a new agent with nobody around to ask can still finish the job. For unattended runs, that last point carries the most weight: the file should cover what to decide alone, what to stop on, and where to leave a note. If you only copy a style guide, the agent drifts, stalls, or keeps hitting permission denials overnight. Anthropic's own test for each line is: "Would removing this cause Claude to make mistakes?" Which option is right for you? Choose by how Claude will run, not by how big the project is. If you're unsure, start with the first row. | Your situation | What to pick first | First page to open | |---|---|---| | Beginner, no CLAUDE.md yet | Run /init, then cut the draft down to commands, rules, and "never" lines | Best practices: Write an effective CLAUDE.md | | Daily interactive work | A short project CLAUDE.md in git, plus skills for workflows you only need sometimes | Skills docs | | Nightly cron or claude -p job | The unattended template below, plus permission rules in settings | Headless mode | | CI with --bare | Pass the file yourself with --append-system-prompt-file | Bare mode section | | Tight token budget | Move rarely used content into skills or @ imports that only load when needed | /claude-code-how-to-see-token-usage-and-reduce-it/ | | Rules that must never break | A PreToolUse hook or a deny rule instead of a CLAUDE.md line | Hooks guide | Here's why, one line each. /init gives you a draft quickly, but the draft is too long. Skills keep everyday sessions lean. Unattended runs can't ask you anything. --bare doesn't load CLAUDE.md at all. Every line in CLAUDE.md costs tokens on every run. And a hook is the only kind of rule that can't be talked out of. What should a CLAUDE.md file example look like? A good CLAUDE.md example is short and scoped. It covers project context, commands, conventions, and explicit rules for what the agent must never do unattended. It isn't a full style guide. Anthropic's own sample is just two headings, "Code style" and "Workflow", with two bullets each. The docs say "There's no required format for CLAUDE.md files, but keep it short and human-readable." An unattended agent needs a few extra sections that an interactive user never thinks about, because the interactive user is the one answering questions. Here is an example for a scheduled job. It's illustrative, so replace the commands and paths with your own: # Project Static blog generator (Node 22). Content in /content, build output in /dist. # Commands - Install: npm ci - Test: npm test -- --run - Build: npm run build (must exit 0 before any commit) # Conventions - ES modules only. No new dependencies without a note in REPORT.md. # Autonomy: decide alone - Fix failing tests caused by your own change. - Retry a flaky network step once, then move on. # Autonomy: stop and report - Anything touching /migrations, .env, or CI config. - A task that needs more than ~10 files changed. - Any ambiguity you would normally ask about. # When blocked - Do not wait for an answer. Write the question and what you tried to BLOCKED.md, commit nothing, and end the run. # Done means - Tests pass, build exits 0, REPORT.md lists files changed and commands run. # Compaction - When compacting, always preserve the full list of modified files and any test commands. Each section maps to a documented behavior. "Done means" comes from Anthropic's advice to give Claude a check it can run. Their wording: it's "the difference between a session you watch and one you walk away from." The compaction line is close to word for word what the best practices page suggests for keeping critical context through summarization. The "When blocked" section exists because a run started with --permission-prompts none removes tools that need a person, such as AskUserQuestion, according to the headless docs. Without that section, Claude has no planned route when it wants to ask you something. Common pitfalls in examples: - Putting permissions in prose. "Never run rm -rf" in CLAUDE.md is a request, not a block. Use a deny rule or hook instead (see /claude-code-permissions-best-practices-headless-template/). - Describing the codebase file by file. Anthropic's exclude list names this directly, along with "Self-evident practices like 'write clean code'" (best practices). - No definition of done. Without one, "Claude stops when the work looks done." What are the core CLAUDE.md best practices? Keep CLAUDE.md concise, include only information that changes decisions, and write it as onboarding for an agent that can't ask questions. The reason is the context window. Anthropic says "Claude's context window fills up fast, and performance degrades as it fills," and CLAUDE.md loads at the start of every session. The memory docs add that Claude treats these files as "context, not enforced configuration." Every line costs tokens, and none of them is guaranteed to be followed. Anthropic's include/exclude table (source), rearranged for unattended use: | Include | Exclude | |---|---| | Bash commands Claude can't guess | Anything Claude can figure out by reading code | | Code style rules that differ from defaults | Standard language conventions | | Test instructions and preferred runner | Detailed API docs (link instead) | | Branch naming and PR conventions | Information that changes frequently | | Project-specific architecture decisions | Long explanations or tutorials | | Required env vars and environment quirks | File-by-file descriptions | | Non-obvious gotchas | "Write clean code" | Steps to write or rewrite yours: 1. In the project folder, run claude, then type /init to generate a starter file (best practices). 2. Delete every line that fails the test "Would removing this cause Claude to make mistakes?" 3. Add the autonomy, "when blocked", and "done means" sections from the example above. 4. Run /context to confirm the file loaded (best practices). 5. For a checked-in file, run /doctor, and Claude proposes cuts for content it can work out from the codebase (best practices). 6. Commit it to git. Two failure signals tell you which way to fix the file. Anthropic puts it this way: "If Claude keeps doing something you don't want despite having a rule against it, the file is probably too long." If Claude asks about something the file already answers, the wording is probably ambiguous (best practices). Use emphasis sparingly. Mark only the one rule Claude keeps skipping with "IMPORTANT", because "If you emphasize many lines, none of them stands out." What CLAUDE.md patterns do top GitHub repos use? Popular GitHub repos usually use three CLAUDE.md patterns: a command-and-convention sheet, a behavior-principles file, or a shared team file updated after every mistake. | Pattern | Public example | What it contains | Good for unattended runs? | |---|---|---|---| | Command and convention sheet | EDSL file in awesome-claude-code | Build/test commands, strict style (Black, mypy), testing requirements | Yes, if you add stop rules | | Behavior principles | multica-ai/andrej-karpathy-skills | Four principles about assumptions, simplicity, edit scope, goals | Partly; it has no project commands | | Living team file | Claude Code team's own file (Boris Cherny on X) | Corrections added whenever Claude gets something wrong | Yes; it grows from real failures | A few structural habits show up again and again. One is splitting rules by directory or file type: Anthropic documents nested CLAUDE.md files and a .claude/rules/ folder for rules scoped to specific files (memory docs). Another is pointing to longer docs with @path/to/import instead of pasting them in (best practices). Imports help with organization. They don't make the file cheaper if the imported file loads every session anyway. If your repo already has an AGENTS.md, the memory docs say Claude "can also read a repository's AGENTS.md files in place of CLAUDE.md," so you don't need two copies. Limitation: most public examples are written for someone sitting at the terminal. Hardly any say what the agent should do when it's stuck at 3 a.m., and that's the section you'll need to write yourself. What does Anthropic's official guidance say about CLAUDE.md? Anthropic's official guidance treats CLAUDE.md as a short, advisory memory file that loads every session. It covers commands, conventions, and gotchas, and you refine it like code. The points that matter most for automation, all from Anthropic's docs as of October 2026: - Scopes. CLAUDE.md can live at managed-policy, user (~/.claude/CLAUDE.md), project (./CLAUDE.md or ./.claude/CLAUDE.md), and local (./CLAUDE.local.md) levels (memory docs). On a VPS, the user-level file belongs to whatever account the cron job runs as. That may not be the account you set up interactively. - Auto memory is separate. Claude writes its own notes, and only the first 200 lines or 25KB load each session (memory docs). - Hooks vs instructions. "Unlike CLAUDE.md instructions which are advisory, hooks are deterministic and guarantee the action happens". To block an action no matter what Claude decides, the memory docs point to a PreToolUse hook (memory docs). - Treat it like code. "Review it when things go wrong, prune it regularly, and test changes by observing whether Claude's behavior actually shifts" (best practices). The headless page is where unattended setups most often go wrong. Adding --bare skips auto-discovery of "hooks, skills, custom commands, subagents, installed plugins, MCP servers, auto memory, and CLAUDE.md" (headless docs). The same page warns that "--bare is the recommended mode for scripted and SDK calls, and will become the default for -p in a future release." So a cron job that depends on CLAUDE.md being picked up automatically may stop following it after an update, with no error to tell you. To make the file load whatever the default turns out to be: 1. Keep the unattended rules in a file, for example CLAUDE.md or a separate AGENT_RULES.md. 2. Pass it explicitly. The headless docs list --append-system-prompt-file for adding to the system prompt in bare mode: claude --bare -p "Run the nightly content check" \ --append-system-prompt-file ./CLAUDE.md \ --allowedTools "Read,Edit,Bash(npm test *)" \ --permission-prompts none 3. Remember that bare mode doesn't use your subscription login. Set ANTHROPIC_API_KEY first (headless docs). Two more defaults matter. With Claude Code v2.1.302 or later, claude -p starts in Manual mode when nothing sets a permission mode, and a call that needs approval is denied unless something approves it. --permission-prompts requires v2.1.259 or later (headless docs). This is why CLAUDE.md has to tell the agent what to do after a denial. The full flag set is covered in /claude-code-headless-mode-flags-auth-and-cost-2026/. What do Reddit discussions say works (and fails) in CLAUDE.md? The usual complaint on Reddit and developer forums is that long CLAUDE.md files get ignored. The fix people recommend is to trim the file to essentials and prune it regularly. Plenty of community posts carry titles like "Why your long CLAUDE.md gets ignored, and how to fix it", and forum threads ask whether popular rule files actually help (Devtalk). Treat these as anecdotes, not measurements. The pattern does line up with Anthropic's own failure list, which names "The over-specified CLAUDE.md" and says important rules "get lost in the noise". What community advice tends to get right: - Add rules only after a real mistake. That matches the practice used by the Claude Code team (next sections). - Turn rules into hooks. Anthropic's own fix for an over-specified file: "If Claude already does something correctly without the instruction, delete it or convert it to a hook." What it tends to get wrong for unattended work: - Shouting. Files full of "ALWAYS" and "NEVER" in capitals cancel themselves out, since emphasis only works on one line. - Language and tone rules at the top. In a nightly job nobody reads the tone. Spend those lines on stop conditions instead. For example, say your overnight agent keeps editing CI config even though a rule forbids it. Community advice would tell you to move the rule higher in the file. The more reliable fix is a deny rule or a PreToolUse hook on that path, with one line left in CLAUDE.md explaining why. Copy-paste hook scripts for this are in /claude-code-hooks-examples-7-copy-paste-scripts/. What does Andrej Karpathy say about CLAUDE.md style files? Karpathy didn't write a CLAUDE.md himself. The popular "Karpathy CLAUDE.md" is a community file built from his posts on how LLMs fail at coding, and it focuses on behavior rather than style. The repo multica-ai/andrej-karpathy-skills showed about 223.8k stars when checked in October 2026. It turns his observations into four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. The line that matters most for unattended runs is the one the repo quotes from Karpathy: "Don't tell it what to do, give it success criteria and watch it go." How to use it in a scheduled setup: 1. Keep "Surgical Changes" and "Goal-Driven Execution". They limit drift and define when the agent is finished. 2. Rewrite "Think Before Coding" for unattended runs. The original tells the agent to ask for clarification when a request is ambiguous. Overnight, nobody is there to answer, so change that to "write the question to BLOCKED.md and stop." 3. Add your own commands. The file has no project-specific build or test lines. Who it's not for: if your CLAUDE.md is already near the size where rules get lost, pasting in a generic principles file makes that worse. Take the two principles you need and leave the rest. How is CLAUDE.md best practice evolving for 2026 (skills, headless agents)? In 2026, CLAUDE.md is shrinking. Workflows are moving into skills, hard rules into hooks and permission settings, and the core file is turning into a statement of autonomy boundaries. The split, according to Anthropic's docs as of October 2026: | Content | Put it in | Why | |---|---|---| | Always-true commands, conventions, stop rules | CLAUDE.md | "CLAUDE.md is loaded every session, so only include things that apply broadly" | | Occasional domain knowledge or workflows | .claude/skills/<name>/SKILL.md | Claude loads skills on demand (best practices) | | Workflows with side effects | Skill with disable-model-invocation: true | Only runs when you trigger it (best practices) | | Must-never-happen actions | Hooks, deny rules | Deterministic (hooks guide) | | "Keep going until tests pass" | /goal condition or a Stop hook | Lets "an unattended run finish correctly without you" | Skills also work headless. User-invoked skills run in -p mode if you include /skill-name in the prompt string (headless docs). A clean nightly setup looks like this: 1. CLAUDE.md, about a screen long: commands, autonomy rules, "when blocked", "done means". 2. A skill such as /nightly-report that holds the step-by-step procedure. 3. Cron calls claude -p "/nightly-report" --permission-mode dontAsk --allowedTools "...". Under dontAsk, Claude Code "denies every call that would otherwise prompt" (headless docs). 4. A Stop hook runs your test command, so the run can't end while tests are red. Auto mode is the other 2026 change. From v2.1.283 it's the starting permission mode for interactive terminal and VS Code sessions, with a classifier that blocks actions like scope escalation (best practices). It reduces prompts, but it doesn't replace stop rules. The classifier judges risk. It doesn't know your business rules, such as "never publish on Sundays". Scheduling details are in /claude-code-cron-job-setup-run-automations-overnight/. What do practitioner write-ups (Medium, Boris Cherny) add to best practices? Practitioners, including Claude Code creator Boris Cherny, add one habit: update CLAUDE.md after every mistake you catch. Keep the file small enough that the new rule doesn't get lost. Cherny described the Claude Code team's setup on X in January 2026. They share one CLAUDE.md for the repo, check it into git, and "the whole team contributes multiple times a week". Whenever Claude gets something wrong, they add it to the file. In a follow-up post, he said he tags @.claude on coworkers' PRs to add CLAUDE.md lines through the Claude Code GitHub Action. For very long tasks, he mentioned having Claude verify its work or using a Stop hook (thread). Adapted for unattended runs: 1. Each morning, read the run's REPORT.md and BLOCKED.md. 2. For each real mistake, decide on the fix. A one-line CLAUDE.md rule works if the mistake was a judgment call. A hook or deny rule is better if it must never happen again. 3. Add the line in the same commit as the fix. 4. Once a month, delete rules the agent now follows without being told. Pitfall: a file that only grows. Adding a line after every mistake without ever pruning produces exactly the bloated file Anthropic warns about. A related mistake is reacting to a stalled run by adding more instructions. Stalls usually come from permissions or context, not missing rules. Check /why-claude-code-stops-mid-automation-and-how-to-fix-it/ before you edit the file. Next steps Do today (DIY): 1. Open your project, run /init (or open your existing file with /memory), and cut every line that fails "Would removing this cause Claude to make mistakes?" 2. Add four sections from the example: "Autonomy: decide alone", "Autonomy: stop and report", "When blocked", and "Done means". 3. If your cron job uses -p, add --append-system-prompt-file ./CLAUDE.md now, so the coming --bare default doesn't silently drop the file. If you'd rather not do it yourself: Anthropic's paid plans include Claude Code. Pro is $20/month ($17/month billed annually), and Max starts at $100/month (as of October 2026; check the official pricing page). Pro suits one person running light scheduled jobs. It's not a good fit if you need many long runs per night, because Claude Code "shares the same usage limits as the rest of your plan." Bare-mode runs bill through an API key instead, so they don't draw on a subscription. Anthropic also publishes a Claude Code 101 course on CLAUDE.md; check the page for current access terms. It suits beginners, but it won't write your stop rules for you. Related guides on this site: - /claude-code-permissions-best-practices-headless-template/ - /claude-code-hooks-examples-7-copy-paste-scripts/ - /claude-code-headless-mode-flags-auth-and-cost-2026/ - /claude-code-cron-job-setup-run-automations-overnight/ - /why-claude-code-stops-mid-automation-and-how-to-fix-it/ FAQ Where can I find CLAUDE.md best practices examples? Anthropic's best practices page has a short official sample and an include/exclude table. Community examples are collected in awesome-claude-code. The template in this guide adds the unattended sections most public examples leave out. What are Anthropic's CLAUDE.md best practices? Keep it short. Include only commands, rules that differ from defaults, and gotchas. Check it into git and prune it regularly. Anthropic also says CLAUDE.md is advisory, so anything that must always happen belongs in a hook (best practices). Are there good CLAUDE.md best practices on GitHub? Yes. The most-starred example is multica-ai/andrej-karpathy-skills, a behavior-principles file. Language-specific files such as the EDSL example in awesome-claude-code show the command-sheet pattern. Either way, add your own commands and stop rules. What are the Karpathy CLAUDE.md best practices? They're four principles taken from Karpathy's posts: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. Karpathy didn't publish the file himself; the multica-ai repo did. For unattended runs, change "ask for clarification" to "log the question and stop". Sources - Best practices for Claude Code (Anthropic) - How Claude remembers your project (Anthropic memory docs) - Run Claude Code programmatically (headless docs) - Hooks guide (Anthropic) - Skills (Anthropic) - Claude pricing - Claude Code 101: The CLAUDE.md file (Anthropic Academy) - Boris Cherny on X: shared CLAUDE.md - Boris Cherny on X: tagging @.claude in PRs - Boris Cherny on X: long-running tasks - multica-ai/andrej-karpathy-skills (GitHub) - awesome-claude-code EDSL CLAUDE.md (GitHub) - Why your long CLAUDE.md gets ignored (DEV Community) - Has anyone tried the Karpathy CLAUDE.md rules? (Devtalk) - Writing the Best CLAUDE.md (DataCamp) - Creating the Perfect CLAUDE.md (Dometrain) --- This article was created with the help of AI. Sources are linked inline; check the official documentation for the latest details.

Top 10 GitHub Repos This Week | Oct 18 – Oct 24 | The Harness Beats the Model This week the biggest gains went to the harness around the agent, not the model: Cloudflare's security audit skill took #1 with 12,680 new stars, and three of the ten are instructions rather than apps. ⏱️ TIMESTAMPS 0:00 — Intro 0:46 — #10 andrej-karpathy-skills — One rules file for coding agents (223.6K⭐️) 2:37 — #9 claude-plugins-official — Anthropic's official plugin directory (44.5K⭐️) 4:36 — #8 ruflo — An agent meta-harness (79.2K⭐️) 6:38 — #7 ai-memory — Shared memory across coding agents (13.4K⭐️) 8:46 — #6 ComfyUI — Node-graph engine for AI images and video (142.8K⭐️) 10:50 — #5 hyperframes — Write HTML, render video (71.9K⭐️) 13:13 — #4 opencode — The open source coding agent (221.4K⭐️) 15:21 — #3 graphify — Your codebase as a knowledge graph (134.8K⭐️) 18:01 — #2 orca — A command center for a fleet of agents (105.4K⭐️) 20:18 — #1 security-audit-skill — Turn your agent into a security auditor (46K⭐️) 23:17 — Recap & Trends 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Like, 💬 Comment, 🔔 Subscribe, ⭐️ Star the repos! #github #opensource #ai #coding #programming #trending #devtools #developer [ar] أفضل 10 مستودعات على GitHub لهذا الأسبوع | 18 أكتوبر – 24 أكتوبر | "إطار العمل" يتفوق على النموذج هذا الأسبوع، كانت أكبر المكاسب من نصيب البنية التحتية المحيطة بالوكيل، وليس النموذج نفسه: فقد تصدّرت مهارة التدقيق الأمني ​​من كلاود فلير القائمة بحصولها على 12,680 نجمة جديدة، وثلاث من هذه النجوم العشر عبارة عن تعليمات وليست تطبيقات. ⏱️ الطوابع الزمنية 0:00 — مقدمة 0:46 — #10 مهارات أندريه كارباثي — ملف قواعد واحد لوكلاء البرمجة (223.6 ألف نجمة) 2:37 — #9 دليل إضافات كلود الرسمي — دليل إضافات أنثروبيك الرسمي (44.5 ألف نجمة) 4:36 — #8 روفلو — أداة شاملة لوكلاء البرمجة (79.2 ألف نجمة) 6:38 — #7 ذاكرة الذكاء الاصطناعي — ذاكرة مشتركة بين وكلاء البرمجة (13.4 ألف نجمة) 8:46 — #6 كومفي يو آي — محرك رسم بياني للعقد لصور وفيديوهات الذكاء الاصطناعي (142.8 ألف نجمة) 10:50 — #5 هايبر فريمز — كتابة HTML، عرض الفيديو (71.9 ألف نجمة) 13:13 — #4 أوبن كود — وكيل البرمجة مفتوح المصدر (221.4 ألف نجمة) 15:21 — #3 graphify — قاعدة بياناتك البرمجية كرسم بياني معرفي (134.8 ألف نجمة) 18:01 — #2 orca — مركز قيادة لأسطول من العملاء (105.4 ألف نجمة) 20:18 — #1 security-audit-skill — حوّل عميلك إلى مدقق أمني (46 ألف نجمة) 23:17 — ملخص واتجاهات 🔗 المستودعات • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → staablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 إعجاب، 💬 تعليق، 🔔 اشتراك، ⭐️ ضع نجمة على المستودعات! #github #opensource #ai #coding #programming #trending #devtools #developer [bn] এই সপ্তাহের শীর্ষ ১০ গিটহাব রিপো | ১৮ অক্টোবর – ২৪ অক্টোবর | মডেলকে হার মানালো হারনেস এই সপ্তাহে সবচেয়ে বেশি অগ্রগতি হয়েছে এজেন্টের চারপাশের হারনেসের, মডেলের নয়: ক্লাউডফ্লেয়ারের সিকিউরিটি অডিট স্কিল ১২,৬৮০টি নতুন স্টার পেয়ে প্রথম স্থান অধিকার করেছে, এবং এই দশটির মধ্যে তিনটিই অ্যাপ না হয়ে নির্দেশনা। ⏱️ টাইমস্ট্যাম্প ০:০০ — ভূমিকা ০:৪৬ — #১০ andrej-karpathy-skills — কোডিং এজেন্টদের জন্য একটি রুলস ফাইল (২২৩.৬ হাজার⭐️) ২:৩৭ — #৯ claude-plugins-official — অ্যানথ্রোপিকের অফিসিয়াল প্লাগইন ডিরেক্টরি (৪৪.৫ হাজার⭐️) ৪:৩৬ — #৮ ruflo — একটি এজেন্ট মেটা-হারনেস (৭৯.২ হাজার⭐️) ৬:৩৮ — #৭ ai-memory — কোডিং এজেন্টদের মধ্যে শেয়ার্ড মেমরি (১৩.৪ হাজার⭐️) ৮:৪৬ — #৬ ComfyUI — AI ইমেজ এবং ভিডিওর জন্য নোড-গ্রাফ ইঞ্জিন (১৪২.৮ হাজার⭐️) ১০:৫০ — #৫ hyperframes — HTML লেখা, ভিডিও রেন্ডার করা (৭১.৯ হাজার⭐️) ১৩:১৩ — #৪ opencode — ওপেন সোর্স কোডিং এজেন্ট (২২১.৪ হাজার ⭐️) ১৫:২১ — #৩ গ্রাফিফাই — আপনার কোডবেসকে একটি নলেজ গ্রাফ হিসেবে ব্যবহার করুন (১৩৪.৮ হাজার ⭐️) ১৮:০১ — #২ ওরকা — একদল এজেন্টের জন্য একটি কমান্ড সেন্টার (১০৫.৪ হাজার ⭐️) ২০:১৮ — #১ সিকিউরিটি-অডিট-স্কিল — আপনার এজেন্টকে একজন সিকিউরিটি অডিটরে পরিণত করুন (৪৬ হাজার ⭐️) ২৩:১৭ — সারসংক্ষেপ ও ট্রেন্ডস 🔗 রিপো • #১০ আন্দ্রেজ-কারপ্যাথি-স্কিলস → multica-ai/andrej-karpathy-skills • #৯ ক্লড-প্লাগইনস-অফিশিয়াল → anthropics/claude-plugins-official • #৮ রুফলো → ruvnet/ruflo • #৭ ai-memory → akitaonrails/ai-memory • #৬ ComfyUI → Comfy-Org/ComfyUI • #৫ hyperframes → heygen-com/hyperframes • #৪ opencode → anomalyco/opencode • #৩ graphify → Graphify-Labs/graphify • #২ orca → stablyai/orca • #১ security-audit-skill → cloudflare/security-audit-skill 👍 লাইক, 💬 কমেন্ট, 🔔 সাবস্ক্রাইব, ⭐️ রিপোজিটরিগুলোতে স্টার দিন! #github #opensource #ai #coding #programming #trending #devtools #developer [de-DE] Die 10 besten GitHub-Repos der Woche | 18. Okt. – 24. Okt. | Das Framework schlägt das Modell Diese Woche erzielten die Anwender die größten Zuwächse, nicht das Modell selbst: Cloudflares Sicherheitsaudit-Funktion belegte mit 12.680 neuen Sternen den ersten Platz, und drei der zehn besten Funktionen sind Anleitungen und keine Apps. ⏱️ ZEITSTEMPEL 0:00 — Intro 0:46 — #10 andrej-karpathy-skills — Eine Regeldatei für Coding-Agenten (223,6K⭐️) 2:37 — #9 claude-plugins-official — Das offizielle Plugin-Verzeichnis von Anthropic (44,5K⭐️) 4:36 — #8 ruflo — Ein Agenten-Meta-Harness (79,2K⭐️) 6:38 — #7 ai-memory — Gemeinsamer Speicher für Coding-Agenten (13,4K⭐️) 8:46 — #6 ComfyUI — Node-Graph-Engine für KI-Bilder und -Videos (142,8K⭐️) 10:50 — #5 hyperframes — HTML schreiben, Video rendern (71,9K⭐️) 13:13 — #4 Opencode – Der Open-Source-Codierungsagent (221,4K⭐️) 15:21 – #3 Graphify – Ihre Codebasis als Wissensgraph (134,8K⭐️) 18:01 – #2 Orca – Eine Kommandozentrale für eine Flotte von Agenten (105,4K⭐️) 20:18 – #1 Security-Audit-Skill – Machen Sie Ihren Agenten zum Sicherheitsauditor (46K⭐️) 23:17 – Zusammenfassung & Trends 🔗 REPOS • #10 Andrej-Karpathy-Skills → multica-ai/andrej-karpathy-skills • #9 Claude-Plugins-Official → anthropics/claude-plugins-official • #8 Ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Gefällt mir, 💬 Kommentar, 🔔 Abonnieren, ⭐️ Repos mit Stern markieren! #github #opensource #ai #coding #programming #trending #devtools #developer [es-US] Los 10 mejores repositorios de GitHub esta semana | 18 al 24 de octubre | The Harness Beats the M... Esta semana, las mayores ganancias se concentraron en la plataforma que rodea al agente, no en el modelo: la habilidad de auditoría de seguridad de Cloudflare alcanzó el primer puesto con 12.680 nuevas estrellas, y tres de las diez mejores son instrucciones, no aplicaciones. Esta semana, el mayor avance se centró en la plataforma que rodea al agente, no en el modelo: la habilidad de auditoría de seguridad de Cloudflare se posicionó en el primer lugar con 12.680 nuevas estrellas, y tres de las diez mejores son instrucciones, no aplicaciones. ⏱️ MARCAS DE TIEMPO 0:00 — Introducción 0:46 — #10 andrej-karpathy-skills — Un archivo de reglas para agentes de codificación (223.6K⭐️) 2:37 — #9 claude-plugins-official — Directorio oficial de plugins de Anthropic (44.5K⭐️) 4:36 — #8 ruflo — Un meta-arnés para agentes (79.2K⭐️) 6:38 — #7 ai-memory — Memoria compartida entre agentes de codificación (13.4K⭐️) 8:46 — #6 ComfyUI — Motor de grafo de nodos para imágenes y vídeo con IA (142.8K⭐️) 10:50 — #5 hyperframes — Escribe HTML, renderiza vídeo (71.9K⭐️) 13:13 — #4 opencode — OpenCode Agente de codificación fuente (221.4K⭐️) 15:21 — #3 graphify — Tu base de código como un grafo de conocimiento (134.8K⭐️) 18:01 — #2 orca — Un centro de mando para una flota de agentes (105.4K⭐️) 20:18 — #1 security-audit-skill — Convierte a tu agente en un auditor de seguridad (46K⭐️) 23:17 — Resumen y tendencias 🔗 REPOSICIONES • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Dale Me gusta, 💬 Comenta, 🔔 Suscríbete, ⭐️ ¡Marca los repositorios como favoritos! #github #opensource #ai #codificación #programación #tendencias #devtools #desarrollador [fr-FR] Top 10 des dépôts GitHub de la semaine | 18-24 oct. | Le harnais surpasse le modèle Cette semaine, ce sont les outils autour de l'agent, et non le modèle, qui ont enregistré les plus fortes progressions : la fonctionnalité d'audit de sécurité de Cloudflare s'est hissée à la première place avec 12 680 nouvelles étoiles, et trois des dix meilleures sont des instructions plutôt que des applications. ⏱️ HORODATAGE 0:00 — Introduction 0:46 — #10 andrej-karpathy-skills — Un fichier de règles pour la programmation d'agents (223,6K⭐️) 2:37 — #9 claude-plugins-official — Répertoire officiel des plugins d'Anthropic (44,5K⭐️) 4:36 — #8 ruflo — Un méta-harnais pour agents (79,2K⭐️) 6:38 — #7 ai-memory — Mémoire partagée entre agents de programmation (13,4K⭐️) 8:46 — #6 ComfyUI — Moteur de graphes de nœuds pour les images et vidéos IA (142,8K⭐️) 10:50 — #5 hyperframes — Écrire du HTML, générer de la vidéo (71,9K⭐️) 13:13 — #4 opencode — L'agent de codage open source (221,4K⭐️) 15:21 — #3 Graphify — Votre code source sous forme de graphe de connaissances (134,8K⭐️) 18:01 — #2 Orca — Un centre de commandement pour une flotte d'agents (105,4K⭐️) 20:18 — #1 Security-audit-skill — Transformez votre agent en auditeur de sécurité (46K⭐️) 23:17 — Récapitulatif et tendances 🔗 DÉPÔTS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Aimez, 💬 Commentez, 🔔 Abonnez-vous, ⭐️ Mettez les dépôts en favoris ! #github #opensource #ai #coding #programming #trending #devtools #developer [hi] इस सप्ताह के शीर्ष 10 GitHub रिपोज़ | 18 अक्टूबर - 24 अक्टूबर | हार्नेस मॉडल से बेहतर इस सप्ताह सबसे अधिक लाभ एजेंट के आसपास के हार्नेस को मिला, न कि मॉडल को: क्लाउडफ्लेयर के सुरक्षा ऑडिट कौशल ने 12,680 नए स्टार्स के साथ पहला स्थान प्राप्त किया, और इनमें से दस में से तीन निर्देश हैं, न कि ऐप्स। ⏱️ समय-सारणी 0:00 — परिचय 0:46 — #10 andrej-karpathy-skills — कोडिंग एजेंटों के लिए एक नियम फ़ाइल (223.6K⭐️) 2:37 — #9 claude-plugins-official — Anthropic की आधिकारिक प्लगइन निर्देशिका (44.5K⭐️) 4:36 — #8 ruflo — एक एजेंट मेटा-हार्नेस (79.2K⭐️) 6:38 — #7 ai-memory — कोडिंग एजेंटों के बीच साझा मेमोरी (13.4K⭐️) 8:46 — #6 ComfyUI — AI छवियों और वीडियो के लिए नोड-ग्राफ़ इंजन (142.8K⭐️) 10:50 — #5 hyperframes — HTML लिखें, वीडियो रेंडर करें (71.9K⭐️) 13:13 — #4 opencode — ओपन सोर्स कोडिंग एजेंट (221.4K⭐️) 15:21 — #3 ग्राफीफाई — आपका कोडबेस एक नॉलेज ग्राफ के रूप में (134.8K⭐️) 18:01 — #2 ओर्का — एजेंटों के बेड़े के लिए एक कमांड सेंटर (105.4K⭐️) 20:18 — #1 सिक्योरिटी ऑडिट स्किल — अपने एजेंट को सिक्योरिटी ऑडिटर में बदलें (46K⭐️) 23:17 — सारांश और रुझान 🔗 रिपॉजिटरी • #10 आंद्रेज कार्पेथी स्किल्स → multica-ai/andrej-karpathy-skills • #9 क्लाउड प्लगइन्स ऑफिशियल → anthropics/claude-plugins-official • #8 रुफ्लो → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 लाइक करें, 💬 टिप्पणी करें, 🔔 सब्सक्राइब करें, ⭐️ रिपॉजिटरी को स्टार दें! #github #opensource #ai #coding #programming #trending #devtools #developer [id] 10 Repositori GitHub Teratas Minggu Ini | 18 Okt – 24 Okt | The Harness Beats the Model Minggu ini, peningkatan terbesar terjadi pada sistem pendukung agen, bukan pada modelnya: keterampilan audit keamanan Cloudflare menduduki peringkat #1 dengan 12.680 bintang baru, dan tiga dari sepuluh bintang tersebut berupa instruksi, bukan aplikasi. ⏱️ CAP WAKTU 0:00 — Pendahuluan 0:46 — #10 andrej-karpathy-skills — Satu file aturan untuk agen pengkodean (223,6K⭐️) 2:37 — #9 claude-plugins-official — Direktori plugin resmi Anthropic (44,5K⭐️) 4:36 — #8 ruflo — Meta-harness agen (79,2K⭐️) 6:38 — #7 ai-memory — Memori bersama di seluruh agen pengkodean (13,4K⭐️) 8:46 — #6 ComfyUI — Mesin node-graph untuk gambar dan video AI (142,8K⭐️) 10:50 — #5 hyperframes — Tulis HTML, render video (71,9K⭐️) 13:13 — #4 opencode — Agen pengkodean sumber terbuka (221,4 ribu ⭐️) 15:21 — #3 graphify — Basis kode Anda sebagai grafik pengetahuan (134,8 ribu ⭐️) 18:01 — #2 orca — Pusat komando untuk armada agen (105,4 ribu ⭐️) 20:18 — #1 security-audit-skill — Ubah agen Anda menjadi auditor keamanan (46 ribu ⭐️) 23:17 — Rekap & Tren 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Suka, 💬 Komentar, 🔔 Berlangganan, ⭐️ Beri bintang pada repositori! #github #opensource #ai #coding #programming #trending #devtools #developer [it] I 10 migliori repository GitHub di questa settimana | 18 ott – 24 ott | L'infrastruttura batte il... Questa settimana i maggiori progressi sono andati all'infrastruttura che circonda l'agente, non al modello: la skill di audit di sicurezza di Cloudflare si è aggiudicata il primo posto con 12.680 nuove stelle, e tre delle prime dieci sono istruzioni anziché applicazioni. ⏱️ INDICE DEI CONTENUTI 0:00 — Introduzione 0:46 — #10 andrej-karpathy-skills — Un file di regole per agenti di codifica (223.600⭐️) 2:37 — #9 claude-plugins-official — La directory ufficiale dei plugin di Anthropic (44.500⭐️) 4:36 — #8 ruflo — Un meta-sistema di controllo per agenti (79.200⭐️) 6:38 — #7 ai-memory — Memoria condivisa tra agenti di codifica (13.400⭐️) 8:46 — #6 ComfyUI — Motore a grafo di nodi per immagini e video AI (142.800⭐️) 10:50 — #5 hyperframes — Scrivi HTML, renderizza video (71.900⭐️) 13:13 — #4 opencode — Il progetto open source agente di codifica (221.400⭐️) 15:21 — #3 graphify — Il tuo codice sorgente come grafo della conoscenza (134.800⭐️) 18:01 — #2 orca — Un centro di comando per una flotta di agenti (105.400⭐️) 20:18 — #1 security-audit-skill — Trasforma il tuo agente in un revisore della sicurezza (46.000⭐️) 23:17 — Riepilogo e tendenze 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Metti Mi piace, 💬 Commenta, 🔔 Iscriviti, ⭐️ Aggiungi i repository ai preferiti! #github #opensource #ai #coding #programming #trending #devtools #developer [iw] 10 מאגרי ה-GitHub המובילים השבוע | 18 באוקטובר – 24 באוקטובר | המעטפת מנצחת את המודל השבוע, הרווחים הגדולים ביותר הלכו לרתמה סביב הסוכן, לא למודל: מיומנות ביקורת האבטחה של Cloudflare תפסה את המקום הראשון עם 12,680 כוכבים חדשים, ושלושה מתוך עשרתם הם הוראות ולא אפליקציות. ⏱️ חותמות זמן 0:00 — מבוא 0:46 — #10 andrej-karpathy-skills — קובץ כללים אחד עבור סוכני קידוד (223.6K⭐️) 2:37 — #9 claude-plugins-official — ספריית התוספים הרשמית של Anthropic (44.5K⭐️) 4:36 — #8 ruflo — רתמת מטא של סוכן (79.2K⭐️) 6:38 — #7 ai-memory — זיכרון משותף בין סוכני קידוד (13.4K⭐️) 8:46 — #6 ComfyUI — מנוע Node-graph עבור תמונות ווידאו של בינה מלאכותית (142.8K⭐️) 10:50 — #5 hyperframes — כתיבת HTML, עיבוד וידאו (71.9K⭐️) 13:13 — #4 opencode — סוכן קידוד בקוד פתוח (221.4K⭐️) 15:21 — #3 graphify — בסיס הקוד שלך כגרף ידע (134.8K⭐️) 18:01 — #2 orca — מרכז פיקוד עבור צי סוכנים (105.4K⭐️) 20:18 — #1 security-audit-skill — הפוך את הסוכן שלך למבקר אבטחה (46K⭐️) 23:17 — סיכום ומגמות 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 היפר-פריימים → heygen-com/hyperframes • #4 קוד פתוח → anomalyco/opencode • #3 גרפיפי → Graphify-Labs/graphify • #2 אורקה → stablyai/orca • #1 סקיל ביקורת-על-ביטחון → cloudflare/security-audit-skill 👍 לייק, 💬 הגיבו, 🔔 הירשמו, ⭐️ סמנו בכוכב את המאגרים! #github #קודפתוח #בינה מלאכותית #קידוד #תכנות #טרנדי #כליפיתוח #מפתח [ja] 今週のGitHub注目リポジトリTOP10 | 10月18日～10月24日 | モデルを凌駕するハーネス 今週、最も大きな伸びを見せたのはエージェントのモデルではなく、その周辺技術でした。Cloudflareのセキュリティ監査スキルが12,680個の新たなスターを獲得し、1位に輝きました。上位10件のうち3件はアプリではなく、手順書でした。 ⏱️ タイムスタンプ 0:00 — はじめに 0:46 — #10 andrej-karpathy-skills — コーディングエージェントのためのルールファイル (223.6K⭐️) 2:37 — #9 claude-plugins-official — Anthropic の公式プラグインディレクトリ (44.5K⭐️) 4:36 — #8 ruflo — エージェントメタハーネス (79.2K⭐️) 6:38 — #7 ai-memory — コーディングエージェント間で共有されるメモリ (13.4K⭐️) 8:46 — #6 ComfyUI — AI 画像と動画のためのノードグラフエンジン (142.8K⭐️) 10:50 — #5 hyperframes — HTML の書き込み、動画のレンダリング (71.9K⭐️) 13:13 — #4 opencode — オープンソースのコーディングエージェント (221.4K⭐️) 15:21 — #3 graphify — コードベースをナレッジグラフとして活用 (134.8K⭐️) 18:01 — #2 orca — エージェント群のためのコマンドセンター (105.4K⭐️) 20:18 — #1 security-audit-skill — エージェントをセキュリティ監査ツールに変える (46K⭐️) 23:17 — まとめとトレンド 🔗 リポジトリ • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 ハイパーフレーム → heygen-com/hyperframes • #4 オープンコード → anomalyco/opencode • #3 グラフィファイ → Graphify-Labs/graphify • #2 オルカ → stablyai/orca • #1 セキュリティ監査スキル → cloudflare/security-audit-skill 👍 いいね、💬 コメント、🔔 チャンネル登録、⭐️ スターをリポジトリに追加！ #github #opensource #ai #coding #programming #trending #devtools #developer [ko] 이번 주 GitHub Top 10 저장소 | 10월 18일 – 10월 24일 | 모델을 능가하는 활용 도구 이번 주 가장 큰 성과는 모델이 아닌 에이전트 관련 도구에서 나타났습니다. 클라우드플레어의 보안 감사 스킬이 12,680개의 새로운 별점을 얻으며 1위를 차지했고, 상위 10개 중 3개는 앱이 아닌 사용법 안내였습니다. ⏱️ 타임스탬프 0:00 — 소개 0:46 — #10 andrej-karpathy-skills — 코딩 에이전트를 위한 하나의 규칙 파일 (223.6K⭐️) 2:37 — #9 claude-plugins-official — Anthropic의 공식 플러그인 디렉토리 (44.5K⭐️) 4:36 — #8 ruflo — 에이전트 메타 하네스 (79.2K⭐️) 6:38 — #7 ai-memory — 코딩 에이전트 간 공유 메모리 (13.4K⭐️) 8:46 — #6 ComfyUI — AI 이미지 및 비디오용 노드 그래프 엔진 (142.8K⭐️) 10:50 — #5 hyperframes — HTML 작성 및 비디오 렌더링 (71.9K⭐️) 13:13 — #4 opencode — 오픈 소스 코딩 에이전트 (221.4K⭐️) 15:21 — #3 Graphify — 코드베이스를 지식 그래프로 (134.8K⭐️) 18:01 — #2 Orca — 에이전트 함대를 위한 명령 센터 (105.4K⭐️) 20:18 — #1 Security-Audit-Skill — 에이전트를 보안 감사자로 전환 (46K⭐️) 23:17 — 요약 및 트렌드 🔗 저장소 • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 좋아요, 💬 댓글, 🔔 구독, ⭐️ 저장소에 별표 표시! #github #opensource #ai #coding #programming #trending #devtools #developer [ml] ഈ ആഴ്ചയിലെ മികച്ച 10 GitHub റിപ്പോസിറ്ററികൾ | ഒക്ടോബർ 18 – ഒക്ടോബർ 24 | മോഡലിനേക്കാൾ കേമൻ ഹാർനെസ് ഈ ആഴ്ച ഏറ്റവും വലിയ നേട്ടം മോഡലിനെയല്ല, ഏജന്റിനെ ചുറ്റിപ്പറ്റിയുള്ളതാണ്: 12,680 പുതിയ നക്ഷത്രങ്ങളുമായി ക്ലൗഡ്ഫ്ലെയറിന്റെ സുരക്ഷാ ഓഡിറ്റ് വൈദഗ്ദ്ധ്യം ഒന്നാം സ്ഥാനത്തെത്തി, പത്തിൽ മൂന്നെണ്ണം ആപ്പുകളേക്കാൾ നിർദ്ദേശങ്ങളാണ്. ⏱️ TIMESTAMPS 0:00 — ആമുഖം 0:46 — #10 andrej-karpathy-skills — കോഡിംഗ് ഏജന്റുകൾക്കുള്ള ഒരു റൂൾ ഫയൽ (223.6K⭐️) 2:37 — #9 claude-plugins-official — ആന്ത്രോപിക്കിന്റെ ഔദ്യോഗിക പ്ലഗിൻ ഡയറക്ടറി (44.5K⭐️) 4:36 — #8 ruflo — ഒരു ഏജന്റ് മെറ്റാ-ഹാർനെസ് (79.2K⭐️) 6:38 — #7 ai-memory — കോഡിംഗ് ഏജന്റുകളിലുടനീളം പങ്കിട്ട മെമ്മറി (13.4K⭐️) 8:46 — #6 ComfyUI — AI ഇമേജുകൾക്കും വീഡിയോയ്ക്കുമുള്ള നോഡ്-ഗ്രാഫ് എഞ്ചിൻ (142.8K⭐️) 10:50 — #5 ഹൈപ്പർഫ്രെയിമുകൾ — HTML എഴുതുക, വീഡിയോ റെൻഡർ ചെയ്യുക (71.9K⭐️) 13:13 — #4 ഓപ്പൺകോഡ് — ഓപ്പൺ സോഴ്‌സ് കോഡിംഗ് ഏജന്റ് (221.4K⭐️) 15:21 — #3 ഗ്രാഫിഫൈ — നിങ്ങളുടെ കോഡ്ബേസ് ഒരു നോളജ് ഗ്രാഫ് ആയി (134.8K⭐️) 18:01 — #2 ഓർക്ക — ഏജന്റുമാരുടെ ഒരു കൂട്ടത്തിനായുള്ള ഒരു കമാൻഡ് സെന്റർ (105.4K⭐️) 20:18 — #1 സുരക്ഷാ-ഓഡിറ്റ്-സ്‌കിൽ — നിങ്ങളുടെ ഏജന്റിനെ ഒരു സുരക്ഷാ ഓഡിറ്ററാക്കി മാറ്റുക (46K⭐️) 23:17 — റീക്യാപ്പ് & ട്രെൻഡുകൾ 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 ഹൈപ്പർഫ്രെയിമുകൾ → heygen-com/hyperframes • #4 ഓപ്പൺകോഡ് → anomalyco/opencode • #3 ഗ്രാഫിഫൈ → Graphify-Labs/graphify • #2 ഓർക്ക → stablyai/orca • #1 സെക്യൂരിറ്റി-ഓഡിറ്റ്-സ്കിൽ → cloudflare/security-audit-%E0%B4%B8%E0%B5%8D%E0%B4%95%E0%B4%BF%E0%B5%BD 👍 ലൈക്ക് ചെയ്യുക, 💬 കമന്റ് ചെയ്യുക, 🔔 സബ്സ്ക്രൈബ് ചെയ്യുക, ⭐️ റിപ്പോകളിൽ സ്റ്റാർ ചെയ്യുക! #github #opensource #ai #coding #programming #trending #devtools #developer [nl-NL] Top 10 GitHub-repo's van deze week | 18 okt – 24 okt | Het harnas verslaat het model Deze week ging de grootste winst naar de hardware rondom de agent, niet naar het model zelf: Cloudflare's beveiligingsauditvaardigheid behaalde de eerste plaats met 12.680 nieuwe sterren, waarvan drie van de tien instructies zijn in plaats van apps. ⏱️ TIJDSTEMPELS 0:00 — Intro 0:46 — #10 andrej-karpathy-skills — Eén regelsbestand voor codeeragenten (223,6K⭐️) 2:37 — #9 claude-plugins-official — De officiële plugin-directory van Anthropic (44,5K⭐️) 4:36 — #8 ruflo — Een agent-meta-harness (79,2K⭐️) 6:38 — #7 ai-memory — Gedeeld geheugen voor codeeragenten (13,4K⭐️) 8:46 — #6 ComfyUI — Node-graph engine voor AI-afbeeldingen en -video (142,8K⭐️) 10:50 — #5 hyperframes — Schrijf HTML, render video (71,9K⭐️) 13:13 — #4 opencode — De open broncodeagent (221,4K⭐️) 15:21 — #3 graphify — Je codebase als kennisgrafiek (134,8K⭐️) 18:01 — #2 orca — Een commandocentrum voor een vloot agenten (105,4K⭐️) 20:18 — #1 security-audit-skill — Verander je agent in een beveiligingsauditor (46K⭐️) 23:17 — Samenvatting & Trends 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Vind ik leuk, 💬 Reageer, 🔔 Abonneer, ⭐️ Geef de repositories een ster! #github #opensource #ai #coding #programming #trending #devtools #developer [pa] ਇਸ ਹਫ਼ਤੇ ਦੀਆਂ ਚੋਟੀ ਦੀਆਂ 10 GitHub ਰਿਪੋਜ਼ | 18 ਅਕਤੂਬਰ – 24 ਅਕਤੂਬਰ | ਮਾਡਲ ਨਾਲੋਂ ਹਾਰਨੇਸ ਬਿਹਤਰ ਇਸ ਹਫ਼ਤੇ ਸਭ ਤੋਂ ਵੱਧ ਲਾਭ ਏਜੰਟ ਦੇ ਆਲੇ-ਦੁਆਲੇ ਦੇ ਹਾਰਨੈੱਸ ਨੂੰ ਹੋਇਆ, ਮਾਡਲ ਨੂੰ ਨਹੀਂ: ਕਲਾਉਡਫਲੇਅਰ ਦੇ ਸੁਰੱਖਿਆ ਆਡਿਟ ਹੁਨਰ ਨੇ 12,680 ਨਵੇਂ ਸਿਤਾਰਿਆਂ ਨਾਲ #1 ਸਥਾਨ ਪ੍ਰਾਪਤ ਕੀਤਾ, ਅਤੇ ਦਸ ਵਿੱਚੋਂ ਤਿੰਨ ਐਪਸ ਦੀ ਬਜਾਏ ਨਿਰਦੇਸ਼ ਹਨ। ⏱️ ਟਾਈਮਸਟੈਂਪਸ 0:00 — ਜਾਣ-ਪਛਾਣ 0:46 — #10 andrej-karpathy-skills — ਕੋਡਿੰਗ ਏਜੰਟਾਂ ਲਈ ਇੱਕ ਨਿਯਮ ਫਾਈਲ (223.6K⭐️) 2:37 — #9 claude-plugins-official — Anthropic ਦੀ ਅਧਿਕਾਰਤ ਪਲੱਗਇਨ ਡਾਇਰੈਕਟਰੀ (44.5K⭐️) 4:36 — #8 ruflo — ਇੱਕ ਏਜੰਟ ਮੈਟਾ-ਹਾਰਨੈੱਸ (79.2K⭐️) 6:38 — #7 ai-ਮੈਮੋਰੀ — ਕੋਡਿੰਗ ਏਜੰਟਾਂ ਵਿੱਚ ਸਾਂਝੀ ਮੈਮੋਰੀ (13.4K⭐️) 8:46 — #6 ComfyUI — AI ਚਿੱਤਰਾਂ ਅਤੇ ਵੀਡੀਓ ਲਈ ਨੋਡ-ਗ੍ਰਾਫ ਇੰਜਣ (142.8K⭐️) 10:50 — #5 ਹਾਈਪਰਫ੍ਰੇਮ — HTML ਲਿਖੋ, ਵੀਡੀਓ ਰੈਂਡਰ ਕਰੋ (71.9K⭐️) 13:13 — #4 ਓਪਨਕੋਡ — ਓਪਨ ਸੋਰਸ ਕੋਡਿੰਗ ਏਜੰਟ (221.4K⭐️) 15:21 — #3 ਗ੍ਰਾਫੀਫਾਈ — ਤੁਹਾਡਾ ਕੋਡਬੇਸ ਇੱਕ ਗਿਆਨ ਗ੍ਰਾਫ਼ ਵਜੋਂ (134.8K⭐️) 18:01 — #2 ਓਰਕਾ — ਏਜੰਟਾਂ ਦੇ ਫਲੀਟ ਲਈ ਇੱਕ ਕਮਾਂਡ ਸੈਂਟਰ (105.4K⭐️) 20:18 — #1 ਸੁਰੱਖਿਆ-ਆਡਿਟ-ਹੁਨਰ — ਆਪਣੇ ਏਜੰਟ ਨੂੰ ਸੁਰੱਖਿਆ ਆਡੀਟਰ ਵਿੱਚ ਬਦਲੋ (46K⭐️) 23:17 — ਸੰਖੇਪ ਅਤੇ ਰੁਝਾਨ 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 ਹਾਈਪਰਫ੍ਰੇਮ → heygen-com/hyperframes • #4 ਓਪਨਕੋਡ → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 ਪਸੰਦ ਕਰੋ, 💬 ਟਿੱਪਣੀ ਕਰੋ, 🔔 ਗਾਹਕ ਬਣੋ, ⭐️ ਰਿਪੋਜ਼ ਨੂੰ ਸਟਾਰ ਕਰੋ! #github #opensource #ai #ਕੋਡਿੰਗ #ਪ੍ਰੋਗਰਾਮਿੰਗ #ਟ੍ਰੇਂਡਿੰਗ #devtools #developer [pl] 10 najlepszych repozytoriów GitHub w tym tygodniu | 18–24 października | Oprzyrządowanie lepsze n... W tym tygodniu największe zyski odnotowały uprząż wokół agenta, a nie sam model: umiejętność audytu bezpieczeństwa Cloudflare zajęła pierwsze miejsce z 12 680 nowymi gwiazdkami, a trzy z dziesięciu to instrukcje, a nie aplikacje. ⏱️ ZNACZNIKI CZASU 0:00 — Wprowadzenie 0:46 — #10 andrej-karpathy-skills — Jeden plik reguł dla agentów kodujących (223,6 tys.⭐️) 2:37 — #9 claude-plugins-official — Oficjalny katalog wtyczek Anthropic (44,5 tys.⭐️) 4:36 — #8 ruflo — Meta-uprząż dla agentów kodujących (79,2 tys.⭐️) 6:38 — #7 ai-memory — Pamięć współdzielona przez agentów kodujących (13,4 tys.⭐️) 8:46 — #6 ComfyUI — Silnik Node-graph dla obrazów i wideo AI (142,8 tys.⭐️) 10:50 — #5 hyperframes — Pisanie HTML, renderowanie wideo (71,9 tys.⭐️) 13:13 — #4 opencode — Agent kodujący open source (221,4 tys.⭐️) 15:21 — #3 graphify — Twoja baza kodu jako graf wiedzy (134,8 tys.⭐️) 18:01 — #2 orca — Centrum dowodzenia dla floty agentów (105,4 tys.⭐️) 20:18 — #1 security-audit-skill — Zmień swojego agenta w audytora bezpieczeństwa (46 tys.⭐️) 23:17 — Podsumowanie i trendy 🔗 REPOZYTORIA • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Polub, 💬 Skomentuj, 🔔 Subskrybuj, ⭐️ Oznacz repozytoria gwiazdką! #github #opensource #ai #kodowanie #programowanie #trendy #devtools #deweloper [pt-BR] Top 10 Repos do GitHub Esta Semana | 18 de out – 24 de out | A Estrutura Supera o Modelo Nesta semana, os maiores ganhos foram para a estrutura em torno do agente, não para o modelo: a skill de auditoria de segurança da Cloudflare conquistou o primeiro lugar com 12.680 novas estrelas, e três dessas dez estrelas são para instruções, não para aplicativos. ⏱️ MARCAÇÕES DE TEMPO 0:00 — Introdução 0:46 — #10 andrej-karpathy-skills — Um arquivo de regras para agentes de codificação (223,6 mil ⭐️) 2:37 — #9 claude-plugins-official — Diretório oficial de plugins do Anthropic (44,5 mil ⭐️) 4:36 — #8 ruflo — Um meta-arnês para agentes (79,2 mil ⭐️) 6:38 — #7 ai-memory — Memória compartilhada entre agentes de codificação (13,4 mil ⭐️) 8:46 — #6 ComfyUI — Mecanismo de grafo de nós para imagens e vídeos com IA (142,8 mil ⭐️) 10:50 — #5 hyperframes — Escreva HTML, renderize vídeo (71,9 mil ⭐️) 13:13 — #4 opencode — O código aberto Agente de codificação (221,4 mil estrelas) 15:21 — #3 graphify — Sua base de código como um grafo de conhecimento (134,8 mil estrelas) 18:01 — #2 orca — Um centro de comando para uma frota de agentes (105,4 mil estrelas) 20:18 — #1 security-audit-skill — Transforme seu agente em um auditor de segurança (46 mil estrelas) 23:17 — Resumo e Tendências 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Curtir, 💬 Comentar, 🔔 Inscrever-se, ⭐️ Favoritar os repositórios! #github #opensource #ai #codificação #programação #tendências #devtools #developer [ru] Топ-10 репозиториев GitHub за неделю | 18 окт – 24 окт | Оболочка важнее модели На этой неделе наибольший прирост достался инструменту, используемому в агенте, а не модели: навык аудита безопасности Cloudflare занял первое место с 12 680 новыми звездами, и три из десяти из них — это инструкции, а не приложения. ⏱️ ВРЕМЕННЫЕ МЕТКИ 0:00 — Вступление 0:46 — #10 andrej-karpathy-skills — Один файл правил для агентов кодирования (223,6 тыс.⭐️) 2:37 — #9 claude-plugins-official — Официальный каталог плагинов Anthropic (44,5 тыс.⭐️) 4:36 — #8 ruflo — Мета-инструмент для агентов (79,2 тыс.⭐️) 6:38 — #7 ai-memory — Общая память для агентов кодирования (13,4 тыс.⭐️) 8:46 — #6 ComfyUI — Графовый движок для изображений и видео ИИ (142,8 тыс.⭐️) 10:50 — #5 hyperframes — Написание HTML, рендеринг видео (71,9 тыс.⭐️) 13:13 — #4 opencode — Агент для разработки кода с открытым исходным кодом (221,4 тыс. ⭐️) 15:21 — #3 graphify — Ваша кодовая база как граф знаний (134,8 тыс. ⭐️) 18:01 — #2 orca — Командный центр для флота агентов (105,4 тыс. ⭐️) 20:18 — #1 security-audit-skill — Превратите своего агента в аудитора безопасности (46 тыс. ⭐️) 23:17 — Краткий обзор и тренды 🔗 РЕПОЗИЦИИ • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 Лайк, 💬 Комментарий, 🔔 Подписка, ⭐️ Отметьте репозитории звездочкой! #github #opensource #ai #coding #programming #trending #devtools #developer [ta] இந்த வாரத்தின் டாப் 10 GitHub களஞ்சியங்கள் | அக் 18 – அக் 24 | மாடலை விட ஹார்னஸ் சிறந்தது இந்த வாரம், மாடலை விட ஏஜென்ட்டைச் சுற்றியுள்ள கட்டமைப்புக்கே மிகப்பெரிய ஆதாயங்கள் கிடைத்தன: கிளவுட்ஃபிளேரின் பாதுகாப்புத் தணிக்கைத் திறன் 12,680 புதிய நட்சத்திரங்களுடன் முதலிடத்தைப் பிடித்தது, மேலும் பத்தில் மூன்று செயலிகள் அல்ல, மாறாக அறிவுறுத்தல்களாகும். ⏱️ நேரக்குறிப்புகள் 0:00 — அறிமுகம் 0:46 — #10 andrej-karpathy-skills — கோடிங் ஏஜென்ட்களுக்கான ஒரே விதிக் கோப்பு (223.6K⭐️) 2:37 — #9 claude-plugins-official — ஆந்த்ரோபிக்கின் அதிகாரப்பூர்வ பிளகின் கோப்பகம் (44.5K⭐️) 4:36 — #8 ruflo — ஒரு ஏஜென்ட் மெட்டா-ஹார்னஸ் (79.2K⭐️) 6:38 — #7 ai-memory — கோடிங் ஏஜென்ட்கள் முழுவதும் பகிரப்பட்ட நினைவகம் (13.4K⭐️) 8:46 — #6 ComfyUI — AI படங்கள் மற்றும் வீடியோவிற்கான நோட்-கிராஃப் எஞ்சின் (142.8K⭐️) 10:50 — #5 hyperframes — HTML எழுது, வீடியோவை ரெண்டர் செய் (71.9K⭐️) 13:13 — #4 opencode — திறந்த மூல குறியீட்டு முகவர் (221.4K⭐️) 15:21 — #3 கிராஃபிஃபை — உங்கள் குறியீட்டுத் தொகுப்பை ஒரு அறிவு வரைபடமாக மாற்றுதல் (134.8K⭐️) 18:01 — #2 ஓர்கா — முகவர்களின் குழுவிற்கான ஒரு கட்டளை மையம் (105.4K⭐️) 20:18 — #1 செக்யூரிட்டி-ஆடிட்-ஸ்கில் — உங்கள் முகவரை ஒரு பாதுகாப்பு தணிக்கையாளராக மாற்றுங்கள் (46K⭐️) 23:17 — மீள்பார்வை & போக்குகள் 🔗 ரெப்போக்கள் • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ரூஃப்லோ → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 லைக், 💬 கமெண்ட், 🔔 சப்ஸ்கிரைப், ⭐️ ரெப்போக்களுக்கு ஸ்டார் கொடுங்கள்! #github #opensource #ai #coding #programming #trending #devtools #developer [te] ఈ వారం టాప్ 10 GitHub రిపోలు | అక్టోబర్ 18 – అక్టోబర్ 24 | మోడల్ కంటే హార్నెస్‌దే పైచేయి ఈ వారం అత్యధిక ప్రయోజనాలు మోడల్‌కు కాకుండా, ఏజెంట్ చుట్టూ ఉన్న హార్నెస్‌కు దక్కాయి: క్లౌడ్‌ఫ్లేర్ సెక్యూరిటీ ఆడిట్ స్కిల్ 12,680 కొత్త స్టార్లతో మొదటి స్థానాన్ని దక్కించుకుంది, మరియు ఆ పదింటిలో మూడు యాప్‌లకు బదులుగా సూచనలే ఉన్నాయి. ⏱️ టైమ్‌స్టాంప్‌లు 0:00 — పరిచయం 0:46 — #10 andrej-karpathy-skills — కోడింగ్ ఏజెంట్ల కోసం ఒక రూల్స్ ఫైల్ (223.6K⭐️) 2:37 — #9 claude-plugins-official — ఆంత్రోపిక్ యొక్క అధికారిక ప్లగిన్ డైరెక్టరీ (44.5K⭐️) 4:36 — #8 ruflo — ఒక ఏజెంట్ మెటా-హార్నెస్ (79.2K⭐️) 6:38 — #7 ai-memory — కోడింగ్ ఏజెంట్ల అంతటా షేర్డ్ మెమరీ (13.4K⭐️) 8:46 — #6 ComfyUI — AI చిత్రాలు మరియు వీడియో కోసం నోడ్-గ్రాఫ్ ఇంజిన్ (142.8K⭐️) 10:50 — #5 hyperframes — HTML రాయండి, వీడియోను రెండర్ చేయండి (71.9K⭐️) 13:13 — #4 ఓపెన్‌కోడ్ — ఓపెన్ సోర్స్ కోడింగ్ ఏజెంట్ (221.4K⭐️) 15:21 — #3 గ్రాఫిఫై — మీ కోడ్‌బేస్‌ను ఒక నాలెడ్జ్ గ్రాఫ్‌గా మార్చడం (134.8K⭐️) 18:01 — #2 ఓర్కా — ఏజెంట్ల సముదాయానికి ఒక కమాండ్ సెంటర్ (105.4K⭐️) 20:18 — #1 సెక్యూరిటీ-ఆడిట్-స్కిల్ — మీ ఏజెంట్‌ను ఒక సెక్యూరిటీ ఆడిటర్‌గా మార్చడం (46K⭐️) 23:17 — రీక్యాప్ & ట్రెండ్స్ 🔗 REPOS • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 hyperframes → heygen-com/hyperframes • #4 opencode → anomalyco/opencode • #3 graphify → Graphify-Labs/graphify • #2 orca → stablyai/orca • #1 security-audit-skill → cloudflare/security-audit-skill 👍 లైక్ చేయండి, 💬 కామెంట్ చేయండి, 🔔 సబ్స్క్రైబ్ చేయండి, ⭐️ రిపోలకు స్టార్ ఇవ్వండి! #github #opensource #ai #coding #programming #trending #devtools #developer [uk] Топ-10 репозиторіїв GitHub цього тижня | 18 жовтня – 24 жовтня | Обв'язка перемагає модель Цього тижня найбільших успіхів досягла система, що працює навколо агента, а не модель: навичка аудиту безпеки Cloudflare посіла перше місце з 12 680 новими зірками, і три з десяти – це інструкції, а не програми. ⏱️ ЧАСОВІ ПОМІТКИ 0:00 — Вступ 0:46 — #10 andrej-karpathy-skills — Один файл правил для агентів кодування (223.6 тис.⭐️) 2:37 — #9 claude-plugins-official — Офіційний каталог плагінів Anthropic (44.5 тис.⭐️) 4:36 — #8 ruflo — Мета-обладнання агента (79.2 тис.⭐️) 6:38 — #7 ai-memory — Спільна пам'ять між агентами кодування (13.4 тис.⭐️) 8:46 — #6 ComfyUI — Двигун графів вузлів для зображень та відео на основі штучного інтелекту (142.8 тис.⭐️) 10:50 — #5 гіперфрейми — Написання HTML, рендеринг відео (71.9 тис.⭐️) 13:13 — #4 opencode — Агент кодування з відкритим вихідним кодом (221.4 тис.⭐️) 15:21 — #3 graphify — Ваша кодова база як граф знань (134.8 тис.⭐️) 18:01 — #2 orca — Командний центр для флоту агентів (105.4 тис.⭐️) 20:18 — #1 security-audit-skill — Перетворіть свого агента на аудитора безпеки (46 тис.⭐️) 23:17 — Підсумки та тенденції 🔗 РЕПОРТАЖІЇ • #10 andrej-karpathy-skills → multica-ai/andrej-karpathy-skills • #9 claude-plugins-official → anthropics/claude-plugins-official • #8 ruflo → ruvnet/ruflo • #7 ai-memory → akitaonrails/ai-memory • #6 ComfyUI → Comfy-Org/ComfyUI • #5 гіперфрейми → heygen-com/hyperframes • #4 відкритий код → anomalyco/opencode • #3 графіка → Graphify-Labs/graphify • #2 орка → stablyai/orca • #1 навичка аудиту безпеки → cloudflare/security-audit-skill 👍 Вподобайкайте, 💬 Коментуйте, 🔔 Підпишіться, ⭐️ Поставте зірочку на репозиторії! #github #відкритийвихіднийкод #штучнийінтелект #кодування #програмування #тренди #інструментирозробки #розробник

Karpathy's 4 Rules That Fix AI Coding | Repos You Should Know Day 1 This GitHub repo doesn't have a single line of code, and it has over 220,000 stars. Day 1 of finding repositories you should know about: Karpathy Skills. It's one CLAUDE.md file, built from Andrej Karpathy's observations on where AI coding goes wrong. Once it's in your project, Claude Code follows 4 principles: 1. Think Before Coding: don't assume, surface tradeoffs, ask when unsure 2. Simplicity First: minimum code that solves the problem, nothing speculative 3. Surgical Changes: touch only what you must, clean up only your own mess 4. Goal-Driven Execution: define success criteria, loop until verified 🔗 Repo: multica-ai/andrej-karpathy-skills ⚡ Install in Claude Code: /plugin marketplace add forrestchang/andrej-karpathy-skills /plugin install andrej-karpathy-skills@karpathy-skills Using Cursor? The repo ships a ready-made rule: .cursor/rules/karpathy-guidelines.mdc Subscribe so you don't miss Day 2 🔔 📲 Follow me: Instagram: instagram.com X: x.com YouTube: youtube.com #Shorts #ClaudeCode #AICoding #GitHub #AndrejKarpathy #Cursor #AIAgents

What an Empty Prompt Costs: Measure the Baseline Tokens of 4 Coding Agent CLIs - Book: LLM Observability Pocket Guide - Also by me: Thinking in Go (2-book series) — Complete Guide to Go Programming + Hexagonal Architecture in Go - My project: Hermes IDE | GitHub — an IDE for developers who ship with Claude Code and other AI coding tools - Me: xgabriel.com | GitHub --- OpenAI's docs for codex exec --json print a sample usage line: 24,763 input tokens, 24,448 of them cached, and 122 output tokens (Codex non-interactive docs). The page doesn't say what prompt produced it. Whatever it was, the model read about 200 tokens for every token it wrote. Every coding agent CLI sends a prefix before your task says a word: its system prompt, the definitions of its built-in tools, the tools of the MCP servers you configured, and every instruction file it found on the way in. A fresh session sends that prefix again, and so does every headless run in CI. Don't copy anyone's number for this, including the two samples quoted here. The prefix moves with the CLI version, the model, your global config and the folder you start in. So measure it: a one-word prompt through Claude Code, Codex, GitHub Copilot CLI and OpenCode, then the same prompt after adding one MCP server and one AGENTS.md. Every number in your table comes from your own machine. What rides along before your prompt The system prompt and built-in tools belong to the vendor. MCP servers and instruction files are yours. MCP servers behave differently per CLI. Claude Code defers MCP tool definitions by default: "Only tool names and server instructions load at session start" (MCP docs). OpenCode's docs warn the opposite way: an MCP server "adds to the context," and some, like the GitHub MCP server, "tend to add a lot of tokens" (OpenCode MCP docs). Copilot CLI ships with the GitHub MCP server built in (GitHub docs). Codex's MCP page doesn't describe deferral either way (Codex MCP docs), which is one more reason to measure. Instruction files are where an "empty" prompt stops being empty. Each CLI reads more files than its own: | CLI | Instruction files it loads at startup | |---|---| | Claude Code | CLAUDE.md files, or AGENTS.md when no project CLAUDE.md exists (v2.1.277+), plus auto memory (docs) | | Codex | ~/.codex/AGENTS.md, then AGENTS.md from the git root down to your folder, up to 32 KiB (docs) | | Copilot CLI | AGENTS.md, .github/copilot-instructions.md, ~/.copilot/copilot-instructions.md, CLAUDE.md and GEMINI.md, combined (docs) | | OpenCode | AGENTS.md (falling back to CLAUDE.md), plus ~/.config/opencode/AGENTS.md, or ~/.claude/CLAUDE.md if that one is missing (docs) | Read the last two rows twice. Without a global OpenCode file, your personal ~/.claude/CLAUDE.md rides along in OpenCode too, and a repo's CLAUDE.md lands in Copilot CLI's prefix as well as Claude's. !A tiny blank speech bubble perched on top of a tall stack of crates, gears and folded documents on a conveyor belt Your one-word prompt is the small part of the first request. Run 1: one word, four CLIs Start in an empty git repo, so no project file sneaks in. Your global files still load, and that's the point: this is the baseline you pay for today. mkdir -p ~/tmp/baseline && cd ~/tmp/baseline git init -q Claude Code and OpenCode also search parent folders, so check that ~ and ~/tmp hold no CLAUDE.md or AGENTS.md (Claude Code memory docs, OpenCode rules). Codex stops at the git root. Claude Code. --output-format json returns usage, total_cost_usd and a per-model modelUsage breakdown (headless docs, cost tracking). The cost is a client-side estimate, not your bill. The commands below use jq to read the JSON. claude -p "ping" --output-format json > claude-1.json jq '.usage, .total_cost_usd' claude-1.json jq '[.usage.input_tokens, .usage.cache_creation_input_tokens, .usage.cache_read_input_tokens] | add' claude-1.json That second command matters. In Anthropic's usage object, input_tokens counts only what came after the last cache breakpoint, so the full input is the sum of all three fields (prompt caching docs). Read input_tokens alone and the baseline looks tiny. Also check .num_turns: if the agent ran a tool to answer ping, the usage covers more than one model request and counts the prefix more than once. For a floor without your hooks, plugins, MCP servers and CLAUDE.md, add --bare. It needs ANTHROPIC_API_KEY, because bare mode skips your subscription login (headless docs). Codex. codex exec --json streams JSONL, and turn.completed carries input_tokens, cached_input_tokens, output_tokens and reasoning_output_tokens (docs). codex exec --json "ping" > codex-1.jsonl jq -c 'select(.type=="turn.completed") | .usage' \ codex-1.jsonl Here the cached count sits inside the input count: OpenAI's caching guide subtracts cached tokens from input to get the uncached part. So input_tokens is your prefix plus the one-word prompt, as long as the turn made a single model call. Copilot CLI. The programmatic reference documents --output-format json but no usage fields. Its -s flag suppresses stats, so leave it off and the stats print after the reply (reference). copilot -p "ping" 2>&1 | tee copilot-1.txt GitHub's changelog says /usage, and the summary printed when a session ends, include "a break down of token usage for each model" (changelog). Check whether your -p output prints the same breakdown. For the split by layer, start copilot and type /context. It lists System Prompt, Custom Instructions, System Tools, MCP Tools and Messages separately (GitHub docs). OpenCode. opencode run --format json emits raw JSON events (CLI docs). OpenCode records each step's tokens as input, output, reasoning and cache.read/cache.write. In a session posted to OpenCode's tracker, the stored step showed input 209 and cache read 18,944, so add the cache fields to input. opencode run "ping" --format json > opencode-1.jsonl jq -c 'select(.type=="step_finish") | .part.tokens' \ opencode-1.jsonl If that prints nothing, you may be on a v2 build where step_finish never reaches stdout (open report). opencode stats --days 1 reads token usage from your stored sessions instead. Run each command twice within a few minutes. The first run tends to write the prefix to the cache, and the second reads it back. On Claude models, cache reads bill at 0.1x the input rate or less (Anthropic), so a cold first session costs more than a warm repeat. Here is which number to write down from each CLI: | CLI | Full input for the turn | Where to read it | |---|---|---| | Claude Code | input_tokens + cache_creation_input_tokens + cache_read_input_tokens | .usage in the --output-format json result | | Codex | input_tokens (cached tokens are already inside it) | turn.completed event | | Copilot CLI | the per-layer lines | /context in an interactive session | | OpenCode | input + cache.read + cache.write | step_finish events, or opencode stats | Run 2: one MCP server and one AGENTS.md Now add the two things most repos grow first. For the MCP server, use the reference "everything" server. Its README calls it "a test server for builders of MCP clients." Or use a server you actually run. For the memory file, write a short AGENTS.md. Better still, copy the one from a work repo. In this repo all four CLIs read it, since there's no CLAUDE.md here or above it (Claude Code needs v2.1.277 or later for that). cat > AGENTS.md <<'EOF' # Project rules - Run `npm test` before you say a task is done. - Never edit files under migrations/ without asking. EOF Claude Code takes a one-off server with --mcp-config, and with -p it waits for the server to connect before the first turn (headless docs). Save this as mcp.json: { "mcpServers": { "everything": { "type": "stdio", "command": "npx", "args": ["-y", "@modelcontextprotocol/server-everything"] } } } Then run it twice: once as shipped, once with tool search off, so you see what deferral saves you. claude -p "ping" --output-format json \ --mcp-config mcp.json > claude-2.json ENABLE_TOOL_SEARCH=false claude -p "ping" \ --output-format json --mcp-config mcp.json \ > claude-2-upfront.json ENABLE_TOOL_SEARCH=false loads every MCP tool upfront (MCP docs). The gap between those two files is the price of one server's tool definitions on every fresh session. Claude Code skips that cost by default. Codex: register the server, then rerun the Run 1 command into codex-2.jsonl. Delete the [mcp_servers.everything] table from ~/.codex/config.toml when you're done. codex mcp add everything -- \ npx -y @modelcontextprotocol/server-everything Copilot CLI: add the server with /mcp add, or put the same mcpServers block, with "type": "local", in ~/.copilot/mcp-config.json (GitHub docs). Rerun, then check /context to see the MCP Tools line grow. Remove the everything entry from ~/.copilot/mcp-config.json when you're done. OpenCode: put the server in the repo's opencode.json and rerun. { "$schema": "https://opencode.ai/config.json", "mcp": { "everything": { "type": "local", "command": ["npx", "-y", "@modelcontextprotocol/server-everything"], "enabled": true } } } Turn the delta into money The gap between Run 1 and Run 2 is what one MCP server and one memory file add to every session start. Multiply it the way your bill does: prefix tokens, times fresh sessions per day, times your model's input or cache-write rate, plus cache reads for every later turn that re-sends the prefix. Headless runs count, and so do parallel agents. Claude Code's docs say agent-team teammates "load CLAUDE.md, MCP servers, and skills automatically" (costs docs). How that turns into money depends on the plan. On a Claude Pro or Max subscription, the dollar figure in /usage "isn't relevant for billing purposes," but the tokens still draw down your plan limits (costs docs). On Copilot, plans moved to GitHub AI Credits on June 1, 2026, "calculated based on token consumption, including input, output, and cached tokens" (GitHub changelog). Annual Pro and Pro+ plans stay on premium requests until they expire (same changelog). On an API key, every token is billed. If the delta surprises you, the fixes are boring. Claude Code's docs suggest moving workflow-specific instructions out of CLAUDE.md into skills that load on demand, and keeping CLAUDE.md under 200 lines (costs docs). Turn off MCP servers you aren't using. Check your global files, because they ride along in every repo. Watching the baseline in Hermes IDE I build Hermes IDE, so weigh this section with that in mind. Hermes runs each agent in a real terminal by default, and for every session it shows spend: the cost the agent reports, or an estimate from its transcript, marked as estimated, with token totals (README). Since 2.3.4, released October 15, 2026, there's also a context meter: it shows how full the conversation is and offers Compact when it gets close to full. Send the same ping as the first message of a session, and the context meter, the token total and the cost show your baseline before you've given the agent any real work. In the screenshot below, pressing the Context chip above a Claude Code session opened Claude Code's own /context breakdown, and each session's context gauge sits in the sidebar. !Hermes IDE with a Claude Code session showing its /context breakdown, per-session context gauges in the sidebar, and a status strip with token total and estimated cost Hermes 2.3.4: Claude Code's /context breakdown (44.4k of 1M tokens, 4%) after pressing the Context chip, with per-session context gauges in the sidebar and the token total and estimated cost in the status strip. Hermes adds a layer of its own. Its project scan points the agent at a context file, kept within a token budget you can set per project, and saved memory facts and pinned files reach every later session (README). Run the ping in a Hermes session and in a plain terminal on the same repo, and the difference shows what Hermes adds to the first request, if anything. !Hermes IDE with Codex and Claude Code sessions side by side, each in its own hermes/ worktree, and a sidebar listing each session's status, context use, cost and branch Hermes 2.3.4: Codex and Claude Code side by side, each in its own hermes/ worktree, with each session's status, context use, cost and branch in the sidebar. Hermes is free, source-available under BSL 1.1, and runs on macOS, Windows and Linux. It isn't affiliated with Nous Research, Anthropic, OpenAI or any agent vendor. Download it or read the source on GitHub. --- If this was useful Measuring the baseline is the first token-cost question. The next ones are which session, tool call or teammate spent the rest, and whether the spend bought better answers. That's what the LLM Observability Pocket Guide covers: picking the tracing and evals tools that answer those questions for your team. If you'd rather watch the gauges than parse JSON, Hermes IDE puts them next to each agent. 

Your coding agent writes 1000 lines when 100 would do. Anyone using Claude Code knows the pattern: silent wrong assumptions, bloated abstractions, and edits to code that had nothing to do with the task. The project andrej-karpathy-skills is a single CLAUDE.md file derived from Andrej Karpathy's observations on LLM coding pitfalls, built around four principles: Think Before Coding, Simplicity First, Surgical Changes, and Goal-Driven Execution. It installs as a Claude Code plugin or a per-project CLAUDE.md, and includes a Cursor project rule so the same guidelines apply in Cursor as well. ★ 219,579 total Github Repo: multica-ai/andrej-karpathy-skills #andrejkarpathyskills #claudecode #llmcoding #promptengineering