別再讓 Python 吃掉你的 RAM 了!用 C 語言寫的 AI Agent 到底有多快? | Stop Bloating Your RAM: How Fast is a C-Based AI Agent?
🔎 工具速覽 / AT A GLANCE
| Category | AI Infrastructure / Developer Tool |
| Pricing | Open Source (Free) |
| BestFor | 追求極致效能、厭惡依賴地獄、需要輕量化 CI/CD 整合的工程師 |
| GitHub Stars | ⭐ 21 |
🚀 引言 / Introduction
「兄弟,你是不是又在裝 2GB 的 Node_modules 或是對打 Python 版本衝突到想辭職?我看過太多專案因為 Runtime 太肥,跑在 CI 上的時間比寫 Code 的時間還長。直到我看到 Rig —— 它是用 C 寫的,整個 binary 才 566KB,沒有 runtime,沒有 dependency,啟動快到你還沒意識到它在跑。這不是工具,這是對現代『肥胖軟體』的一次反擊。」
"Brother, are you still installing 2GB of node_modules or fighting Python version conflicts until you want to quit? I've seen too many projects where the CI pipeline takes longer to run than the actual coding. Then I found Rig — written in C, a 566KB binary, zero runtime, zero dependencies, and starts faster than you can blink. This isn't just a tool; it's a rebellion against modern 'bloatware'."🛠️ 核心功能 / Key Features
不管是 Claude, GPT-4o 還是 Bedrock,用同一個介面就能切換,不用為了換個模型就得重新改一遍 Config 檔案,對老闆隨時變換的需求完美適應。 (Supports all major LLMs like Claude, GPT-4o, and Bedrock via a unified interface, allowing seamless model switching without config nightmares.)
內建 bash, read, write, edit, grep 等 6 大工具。它不是在那邊瞎猜,而是能精準地對你的程式碼進行『外科手術式』的修改。 (Comes with 6 essential tools including bash, read, write, and grep for precise, surgical-grade code modifications.)
不用裝 SDK,直接用 Lua 寫擴充功能。這就像是在吃下午茶雞排時隨手改個指令一樣簡單,完全不需要重新編譯整個系統。 (Extensible via Lua without SDKs or build steps, making customization as easy as a quick snack break.)
💡 技術亮點 / Tech Highlights
編譯後的 C 語言,記憶體占用以 KB 計算而非 GB。你的 RAM 終於可以拿來跑 Chrome 而不是被 AI Runtime 吃掉。 (Compiled C means memory usage is measured in KB, not GB, freeing up your RAM for Chrome tabs instead of AI runtimes.)
單一 Binary 檔,拷貝即運行。再也不用在部署時面對『為什麼我的環境跑不起來』這種能讓肝指數飆高的 Bug。 (Single binary, copy and run. No more 'it works on my machine' bugs that spike your liver enzymes during deployment.)
它定位於『引擎』而非成品。你可以用它來蓋自己的 IDE 插件或 CI 流程,把主導權拿回自己手上。 (Positioned as an engine, not a final product. Build your own editor plugins or CI pipelines and regain control over your workflow.)
📦 快速上手 / Quick Start
一行指令安裝:curl -fsSL https://raw.githubusercontent.com/SrihariLegend/rig/main/install.sh | sh (One-liner install via curl script.)
執行 `rig auth` 搞定認證,然後直接 `rig` 進入對話模式。 (Run `rig auth` for authentication, then simply type `rig` to start.)
想要換模型?直接在對話中輸入 `/model` 即可,不需要重啟,也不需要祈禱它不要當機。 (Switch models mid-conversation with `/model`—no restarts, no praying it doesn't crash.)
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