Top AI Repos — open-source AI, indexed and scored
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Top AI Repos tracks AI repositories on GitHub and answers two different questions about each one: is it moving right now, and would you bet a product on it.
Task-oriented AI Agent productivity platform
| Date | Stars |
|---|---|
| 2026-07-31 | 3913 |
| 2026-08-01 | 3921 |
| 2026-08-03 | 3921 |
| 2026-08-06 | 3921 |
Today
— stars today
This week
— stars this week
This month
— stars this month
Momentum
35.0
growth rate 0.00%/day
<p align="center"> <img src="assets/banner.png" alt="PilotDeck" width="680"/> </p> <p align="center"> Task-oriented AI Agent productivity platform — redefining operational boundaries and memory evolution, one WorkSpace at a time. </p> <p align="center"> <a href="https://pilotdeck.openbmb.cn"><img src="https://img.shields.io/badge/Website-pilotdeck.openbmb.cn-FF6B35?style=flat-square&logo=googlechrome&logoColor=white" alt="Official Website"/></a> <a href="https://pilotdeck.openbmb.cn/pilotdeck.github.io/demo/p/pilotdeck-demo"><img src="https://img.shields.io/badge/Demo-Live-brightgreen?style=flat-square" alt="Live Demo"/></a> <a href="LICENSE"><img src="https://img.shields.io/badge/License-AGPL_3.0-blue.svg?style=flat-square" alt="License"/></a> <a href="https://modelcontextprotocol.io/"><img src="https://img.shields.io/badge/MCP-Native-6366F1?style=flat-square" alt="MCP Native"/></a> <a href="https://github.com/OpenBMB/PilotDeck/stargazers"><img src="https://img.shields.io/github/stars/OpenBMB/PilotDeck?style=flat-square" alt="Stars"/></a> <br/> <a href="#-community"><img src="https://img.shields.io/badge/Discord-Join_Community-5865F2?style=for-the-badge&logo=discord&logoColor=white" alt="Discord"/></a> <a href="#-community"><img src="https://img.shields.io/badge/Feishu-Community-00D6B9?style=for-the-badge&logo=bytedance&logoColor=white" alt="Feishu"/></a> <a href="#-community"><img src="https://img.shields.io/badge/WeChat-Community-07C160?style=for-the-badge&logo=wechat&logoColor=white" alt="WeChat"/></a> <br/> </p> <p align="center"> <b>English</b> | <a href="./README.zh.md">简体中文</a> <br/> <a href="https://pilotdeck.openbmb.cn">Website</a> · <a href="https://pilotdeck.openbmb.cn/pilotdeck.github.io/demo/p/pilotdeck-demo">Live Demo</a> · <a href="https://pilotdeck.openbmb.cn/pilotdeck.github.io/docs/en/introduction">Tutorial</a> · <a href="#-installation--quick-start">Quick Start</a> · <a href="#-key-highlights">Highlights</a> · <a href="#use-cases">Use Cases</a> · <a href="#-community">Community</a> </p> --- **News** 🔥 - **[2026.05.28]** PilotDeck is now open source! Visit our official website at [pilotdeck.openbmb.cn](https://pilotdeck.openbmb.cn). We welcome contributions, feedback, and stars from the community. --- ## 💡 About PilotDeck **PilotDeck** is an open-source agent operating system designed around the concept of "WorkSpace". It is jointly developed and open-sourced by Tsinghua University [THUNLP](https://nlp.csai.tsinghua.edu.cn/), [ModelBest](https://modelbest.cn/), [OpenBMB](https://www.openbmb.cn/), and [AI9Stars](https://github.com/AI9Stars). Targeting general-purpose, multi-task scenarios, PilotDeck is built to be a true *productivity tool* for the Agent era. A wave of excellent AI Agent harnesses has emerged in recent years, each with its own focus: **Claude Code / Cursor / Trae Solo** brought model reasoning deep into the programming IDE; **Claude Cowork** introduced the notion of project-level isolation to desktop-side knowledge work; **WorkBuddy** connected agents to IM ecosystems such as WeCom and Feishu so AI is one message away. When we shift the lens from "one-shot programming" or "immediate Q&A" to **long-running, multi-project productivity work**, however, several questions remain open: - When many projects run in parallel, can memory be **white-box and traceable**? When the AI gets something wrong, can you pinpoint which memory entry caused it and edit it directly — without starting a new chat from scratch? - Can token cost be **tracked per task**, so that running agents in the background actually becomes economically viable? - Can tasks of different difficulty **automatically be matched to different models**, instead of burning the flagship model on trivial calls? - When you step away from the keyboard, can the work keep moving? Can the agent **proactively discover what's worth doing, report progress, and land results as files on disk**
Excerpt of 22,585 characters
Read on GitHub请输入用户名 · School of Software,Tsinghua University · China
704
296
LI MINGWEI · ModelBest · China
241
Sen Mei · Qiyuan Lab · China
71
54
29
Haidong Xin · ModelBest Inc. · China
21
9
3
Codex · OpenAI
2
1
Would you bet a product on this? Bounded 0–100 and slow moving.
matched fp:57b5557c8bd2dced, desc:ai agent