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GitHub热门项目 | SkillOpt is a text-space optimizer that trains reusable natural-language skills for frozen LLM agents through trajectory-driven edits, validation-gated updates, and deployable best_skill.md artifacts. | Stars: 11,571 | 261 stars today | 语言: Python
GitHub热门项目 | 🧠「大模型」2小时完全从0训练64M的小参数LLM！Train a 64M-parameter LLM from scratch in just 2h! | Stars: 52,981 | 176 stars today | 语言: Python
GitHub热门项目 | Declarative Continuous Deployment for Kubernetes | Stars: 23,361 | 20 stars today | 语言: Go
GitHub热门项目 | Next-generation ORM for Node.js & TypeScript | PostgreSQL, MySQL, MariaDB, SQL Server, SQLite, MongoDB and CockroachDB | Stars: 46,390 | 30 stars today | 语言: TypeScript
GitHub热门项目 | Foundry is a blazing fast, portable and modular toolkit for Ethereum application development written in Rust. | Stars: 10,473 | 5 stars today | 语言: Rust
GitHub热门项目 | A massively parallel, high-level programming language | Stars: 19,619 | 28 stars today | 语言: Rust
GitHub热门项目 | Open Source Qualtrics Alternative | Stars: 12,484 | 13 stars today | 语言: TypeScript
GitHub热门项目 | Deep Code 是专为 deepseek-v4 模型优化的终端 AI 编码助手，支持深度思考、推理强度控制以及 Agent Skills。 | Stars: 1,654 | 128 stars today | 语言: TypeScript
GitHub热门项目 | OpenReel Video - Professional browser-based video editor. Open source CapCut alternative. 100% browser-based, no installation, no cloud uploads, no watermarks. | Stars: 3,802 | 82 stars today | 语言: TypeScript
GitHub热门项目 | All parts of Claude Code's system prompt, 27 builtin tool descriptions, sub agent prompts (Plan/Explore/Task), utility prompts (CLAUDE.md, compact, statusline, magic docs, WebFetch, Bash cmd, security review, agent creation). Updated for each Claude Code version. | Stars: 11,638 | 28 stars today | 语言: JavaScript
GitHub热门项目 | 🦸 AI 编程超能力 · 中文增强版 — superpowers（116k+ ⭐）完整汉化 + 6 个中国原创 skills，让 Claude Code / Copilot CLI / Hermes Agent / Cursor / Windsurf / Kiro / Gemini CLI 等 16 款 AI 编程工具真正会干活 | Stars: 6,504 | 66 stars today | 语言: JavaScript
GitHub热门项目 | An OSINT tool to search for accounts by username and email in social networks. | Stars: 6,806 | 53 stars today | 语言: Python
GitHub热门项目 | An AI-boost cross-platform multi-protocol fluent-design concurrent downloader built with Python & Qt. | Stars: 5,688 | 59 stars today | 语言: Python
GitHub热门项目 | Production-grade platform for building agentic IM bots - 生产级多平台智能机器人开发平台/ Agent、知识库编排、插件系统 / Bots for Discord / Slack / LINE / Telegram / WeChat(企业微信, 企微智能机器人, 公众号) / 飞书 / 钉钉 / QQ / Matrix e.g. Integrated with ChatGPT(GPT), DeepSeek, Dify, n8n, Langflow, Coze, Claude, Gemini, GLM, Ollama, SiliconFlow, Moonshot, openclaw / hermes agent, deerflow | Stars: 16,733 | 33 stars today | 语言: Python
GitHub热门项目 | A TTS that fits in your CPU (and pocket) | Stars: 5,746 | 510 stars today | 语言: Python
GitHub热门项目 | Repository for skills to assist AI coding agents with .NET and C# | Stars: 4,218 | 200 stars today | 语言: C#
GitHub热门项目 | Show usage stats for OpenAI Codex and Claude Code, without having to login. | Stars: 16,922 | 377 stars today | 语言: Swift
GitHub热门项目 | 💡 Download the complete source code of any website (including all assets). [ Javascripts, Stylesheets, Images ] using Node.js | Stars: 3,643 | 173 stars today | 语言: HTML
GitHub热门项目 | AI-powered job application framework built on Claude Code. Fork it, fill in your profile, and let Claude evaluate jobs, tailor CVs, write cover letters, and prepare you for interviews. | Stars: 8,581 | 2,402 stars today | 语言: TypeScript
A while back I wrote about 64% of our merged PRs being written by AI . A few people (reasonably) asked: "nice story, but can I verify any of that?" So we put it on a public, auto-updating dashboard: 👉 www.codens.ai/stats/en It shows, for our GitHub organization: What % of merged PRs are authored by AI agents (currently 65%) Median time from PR-open to merge (2 minutes) Who merged what — task-execution agents vs maintenance bots vs auto-fix vs humans Weekly AI-merge counts and a per-repository breakdown Every number is tallied straight from the GitHub API by a small collector script, and the page regenerates itself weekly. We can't inflate it — it's measured, and the down weeks show up too (that's kind of the point). Why bother making it public Two reasons. 1. "Trust me bro" doesn't scale. When you claim most of your code is AI-written, the only honest move is to expose the raw counts so anyone can sanity-check them. The dashboard is that receipt. 2. It's a live dogfooding test. The whole thing — the PRD, the implementation, the review, the auto-fix on production errors — runs on Codens , our own AI dev-automation suite. If our own numbers ever tanked, the dashboard would be the first place it'd show. Public accountability is a good forcing function. Funny footnote: the dashboard itself was code-reviewed by our own AI reviewer before it shipped, and it caught two real bugs — an OG-image percentage that had drifted out of sync with the live number, and a broken error-fallback that would have blanked the page on malformed data. The tool built to sell "AI reviews your PRs" reviewed the PR that announces it. We'll take it. If you want to see the same machinery on your repos, there's a 14-day free trial (no card): codens.ai . Japanese version of the dashboard is here .