熱門專案

@microsoft

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.

翻譯準備中

@andrewyng

OpenWorker is an AI agent that runs on your own computer, works in your everyday tools, and turns what you ask into finished deliverables — checking in before anything important. Free, open source, br

翻譯準備中

@browser-use

Browser Harness lets Claude Code, Codex or Cursor use your real Chrome: click, type, read pages and download files, logged in as you. Paste one prompt to set it up. Open source, MIT licensed.

翻譯準備中

@NVIDIA-NeMo

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

翻譯準備中

@storytold

開源 PDF 工作台：閱讀、整理、合併、分割與保護。

AI 翻譯

@gastownhall

Gas Town - multi-agent workspace manager

翻譯準備中

@ahmedkhaleel2004

將任何 GitHub 倉庫轉換為互動式圖表以進行可視化。

AI 翻譯

@ether

Etherpad: A modern really-real-time collaborative document editor.

翻譯準備中

@langbot-app

LangBot 是開源的多租戶即時通訊 AI 機器人平台。支援 QQ、微信、飛書、釘釘等主流平台，讓 AI 觸達任何場景。

AI 翻譯

@vuejs

VitePress is a Vite & Vue powered static site generator that lets you create beautiful documentation sites from Markdown.

翻譯準備中

@bluesky-social

Social media as it should be. Find your community among millions of users, unleash your creativity, and have some fun again.

翻譯準備中

@AsyncFuncAI

Generate source-grounded wikis and docs, ask across repos, and keep model access with your selected local CLI agent.

翻譯準備中

@wanshuiyin

ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works wi

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@windmill-labs

Open-source developer platform to power your entire infra and turn scripts into webhooks, workflows and UIs. Fastest workflow engine (13x vs Airflow). Open-source alternative to Retool and Temporal.

翻譯準備中

@NVIDIA

Ongoing research training transformer models at scale

翻譯準備中