Update Roadmap

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## Roadmap
- [ ] Better Planning
- [ ] Live Demos
- [ ] Replay
- [ ] RL Fine-tuned Models
- [ ] Comprehensive Benchmarks
After comprehensively gathering feedback from community members, we have decided to adopt a 3-4 day iteration cycle to gradually implement the highly anticipated features.
- [ ] Enhance Planning capabilities, optimize task breakdown and execution logic
- [ ] Introduce standardized evaluation metrics (based on GAIA and TAU-Bench) for continuous performance assessment and optimization
- [ ] Expand model adaptation and optimize low-cost application scenarios
- [ ] Implement containerized deployment to simplify installation and usage workflows
- [ ] Enrich example libraries with more practical cases, including analysis of both successful and failed examples
- [ ] Frontend/backend development to improve user experience
- [ ] RAG enhancement: Implement external knowledge graph retrieval and fusion mechanisms
## Community Group

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[English](README.md) | 繁體中文 | [简体中文](README_zh.md)
<p align="left">
<a href="https://discord.gg/6dn7Sa3a"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
</p>
# OpenManus 🙋
Manus 很棒,但 OpenManus 可以在沒有邀請碼的情況下實現任何想法 🛫!
我們的團隊成員 [@mannaandpoem](https://github.com/mannaandpoem) [@XiangJinyu](https://github.com/XiangJinyu) [@MoshiQAQ](https://github.com/MoshiQAQ) [@didiforgithub](https://github.com/didiforgithub) 來自 [@MetaGPT](https://github.com/geekan/MetaGPT) 在 3 小時內完成了它!
這是一個簡單的實現,所以我們歡迎任何建議、貢獻和反饋!
享受使用 OpenManus 的代理吧!
## 項目演示
<video src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" data-canonical-src="https://private-user-images.githubusercontent.com/61239030/420168772-6dcfd0d2-9142-45d9-b74e-d10aa75073c6.mp4?jwt=eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.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.UuHQCgWYkh0OQq9qsUWqGsUbhG3i9jcZDAMeHjLt5T4" controls="controls" muted="muted" class="d-block rounded-bottom-2 border-top width-fit" style="max-height:640px; min-height: 200px"></video>
## 安裝
1. 創建一個新的 conda 環境:
```bash
conda create -n open_manus python=3.12
conda activate open_manus
```
2. 克隆倉庫:
```bash
git clone https://github.com/mannaandpoem/OpenManus.git
cd OpenManus
```
3. 安裝依賴:
```bash
pip install -r requirements.txt
```
## 配置
OpenManus 需要配置其使用的 LLM API。按照以下步驟設置您的配置
1. 在 `config` 目錄中創建一個 `config.toml` 文件(您可以從示例中複製):
```bash
cp config/config.example.toml config/config.toml
```
2. 編輯 `config/config.toml` 以添加您的 API 密鑰並自定義設置:
```toml
# 全局 LLM 配置
[llm]
model = "gpt-4o"
base_url = "https://api.openai.com/v1"
api_key = "sk-..." # 替換為您的實際 API 密鑰
max_tokens = 4096
temperature = 0.0
# 特定 LLM 模型的可選配置
[llm.vision]
model = "gpt-4o"
base_url = "https://api.openai.com/v1"
api_key = "sk-..." # 替換為您的實際 API 密鑰
```
## 快速開始
一行命令運行 OpenManus
```bash
python main.py
```
然後通過終端輸入您的想法!
對於不穩定版本,您也可以運行:
```bash
python run_flow.py
```
## 如何貢獻
我們歡迎任何友好的建議和有幫助的貢獻!只需創建問題或提交拉取請求。
或者通過 📧 電子郵件聯繫 @mannaandpoemmannaandpoem@gmail.com
## 路線圖
- [ ] 更好的規劃
- [ ] 實時演示
- [ ] 重播
- [ ] RL 微調模型
- [ ] 綜合基準測試
## 社區群組
加入我們的飛書網絡群組,與其他開發者分享您的經驗!
<div align="center" style="display: flex; gap: 20px;">
<img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" />
</div>
## 星標歷史
[![Star History Chart](https://api.star-history.com/svg?repos=mannaandpoem/OpenManus&type=Date)](https://star-history.com/#mannaandpoem/OpenManus&Date)
## 致謝
感謝 [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo)
和 [browser-use](https://github.com/browser-use/browser-use) 為本項目提供基本支持!
OpenManus 由 MetaGPT 的貢獻者構建。非常感謝這個代理社區!

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## 发展路线
- [ ] 更优的规划系统
- [ ] 实时演示功能
- [ ] 运行回放
- [ ] 强化学习微调模型
- [ ] 全面的性能基准测试
在全面收集了社区成员的反馈后,我们决定采用 3-4 天为周期的迭代模式,逐步实现大家期待的功能。
- [ ] 增强 Planning 能力,优化任务分解和执行逻辑
- [ ] 引入标准化评测,基于 GAIA 和 TAU-Bench持续评估并优化性能
- [ ] 拓展模型适配,优化低成本应用场景
- [ ] 实现容器化部署,简化安装和使用流程
- [ ] 丰富示例库,增加更多实用案例,包含成功和失败示例的分析
- [ ] 前后端开发,提供用户体验
- [ ] RAG增强实现外部知识图谱检索与融合机制
## 交流群