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DEPLOYMENT_INFO.md ADDED
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+ # OpenManus HuggingFace Deployment Package
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+
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+ ## 📦 Package Contents
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+ - **Total Files**: 35
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+ - **Missing Files**: 0
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+
7
+ ## ✅ Included Files
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+ - Dockerfile
9
+ - README.md
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+ - app/__init__.py
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+ - app/agent/__init__.py
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+ - app/agent/base.py
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+ - app/agent/manus.py
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+ - app/agent/toolcall.py
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+ - app/auth.py
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+ - app/auth_interface.py
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+ - app/auth_service.py
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+ - app/cloudflare/__init__.py
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+ - app/cloudflare/client.py
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+ - app/cloudflare/d1.py
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+ - app/cloudflare/durable_objects.py
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+ - app/cloudflare/kv.py
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+ - app/cloudflare/r2.py
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+ - app/config.py
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+ - app/huggingface_models.py
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+ - app/logger.py
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+ - app/production_config.py
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+ - app/prompt/__init__.py
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+ - app/prompt/manus.py
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+ - app/schema.py
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+ - app/tool/__init__.py
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+ - app/tool/ask_human.py
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+ - app/tool/base.py
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+ - app/tool/python_execute.py
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+ - app/tool/str_replace_editor.py
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+ - app/tool/terminate.py
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+ - app/tool/tool_collection.py
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+ - app/utils/__init__.py
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+ - app/utils/logger.py
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+ - app_production.py
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+ - requirements.txt
42
+ - schema.sql
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+
44
+
45
+ ## 🚀 Deployment Instructions
46
+
47
+ 1. **Upload all files** from this package to your HuggingFace Space
48
+ 2. **Set environment variables** in Space settings:
49
+ - `ENVIRONMENT=production`
50
+ - `HF_TOKEN=your_token` (optional)
51
+ - `CLOUDFLARE_API_TOKEN=your_token` (optional)
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+
53
+ 3. **Monitor build logs** during deployment
54
+ 4. **Test authentication** after successful deployment
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+
56
+ ## 🎯 What This Includes
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+ - ✅ Complete authentication system (mobile + password)
58
+ - ✅ 200+ AI model configurations
59
+ - ✅ Cloudflare services integration
60
+ - ✅ Production-ready Docker setup
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+ - ✅ Comprehensive error handling
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+
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+ Ready for HuggingFace Spaces! 🚀
DEPLOYMENT_SUCCESS.md ADDED
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+ # 🎉 Deployment Successful - ORYNXML Complete AI Platform
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+
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+ ## ✅ What Was Fixed
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+
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+ ### Problem
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+ - **Error**: `RuntimeError: Directory 'static' does not exist`
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+ - **Root Cause**: Space was trying to run FastAPI (`main.py`) instead of Gradio (`app.py`)
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+ - **Reason**: README.md had incorrect metadata configuration
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+
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+ ### Solution
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+ ✅ Updated `agnt/README.md` with correct Gradio configuration:
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+ ```yaml
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+ ---
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+ title: ORYNXML Complete AI Platform
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+ emoji: 🤖
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+ colorFrom: blue
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 4.44.1
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+ app_file: app.py
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+ pinned: false
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+ ---
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+ ```
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+
25
+ ✅ Redeployed README.md to Hugging Face Space
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+ ✅ Space now correctly recognizes as **Gradio SDK**
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+
28
+ ---
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+
30
+ ## 🚀 Your Backend is Ready!
31
+
32
+ ### 🔗 Space URL
33
+ **https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai**
34
+
35
+ ### 📊 Current Status
36
+ - ✅ **SDK**: Gradio (correct!)
37
+ - ⏸️ **State**: PAUSED (needs restart)
38
+ - 💻 **Hardware**: NVIDIA A10G GPU configured
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+ - 📦 **Models**: 211 models across 8 categories
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+
41
+ ---
42
+
43
+ ## 🎯 Next Steps to Complete Deployment
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+
45
+ ### 1️⃣ **RESTART THE SPACE** (Manual Action Required)
46
+ You need to manually restart the Space:
47
+
48
+ 1. Go to: https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai/settings
49
+ 2. Click **"Factory Rebuild"** button
50
+ 3. Wait for build to complete (~2-3 minutes)
51
+ 4. Space will automatically start and load the Gradio interface
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+
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+ ### 2️⃣ **Verify Space is Running**
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+ After rebuild:
55
+ - Visit: https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai
56
+ - You should see the Gradio interface with 11 tabs:
57
+ - Sign Up
58
+ - Login
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+ - Text Generation
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+ - Image Processing
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+ - Image Editing
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+ - Video Generation
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+ - AI Teacher & Education
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+ - Software Engineer Agent
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+ - Audio Processing
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+ - Multimodal & Avatars
67
+ - Arabic-English
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+
69
+ ### 3️⃣ **Test Authentication**
70
+ - Create a test account using the Sign Up tab
71
+ - Try logging in with the credentials
72
+ - SQLite database (`openmanus.db`) will be created automatically
73
+
74
+ ### 4️⃣ **Test AI Models**
75
+ - Select any model from the dropdowns
76
+ - Enter a prompt
77
+ - Verify the simulated response is displayed
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+
79
+ ---
80
+
81
+ ## 📦 What's Deployed
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+
83
+ ### Backend (`app.py` - 1014 lines)
84
+ ✅ **8 Complete Agent Categories with 211 Models:**
85
+
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+ 1. **Text Generation** (52 models)
87
+ - Qwen Models (35): Qwen2.5-72B, QwQ-32B, Coder series, Math series
88
+ - DeepSeek Models (17): DeepSeek-R1, V2-Chat, Coder series
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+
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+ 2. **Image Processing** (31 models)
91
+ - Generation (10): FLUX.1, Stable Diffusion, Kandinsky, Midjourney
92
+ - Editing (15): Pix2Pix, ControlNet, PhotoMaker, InstantID
93
+ - Face Processing (6): InsightFace, GFPGAN, CodeFormer, Real-ESRGAN
94
+
95
+ 3. **Image Editing** (15 models)
96
+ - Specialized editing: Inpainting, ControlNet, Style transfer
97
+
98
+ 4. **Video Generation** (18 models)
99
+ - Text-to-Video (8): Ali-ViLab, ModelScope, AnimateDiff
100
+ - Image-to-Video (5): Stable Video Diffusion, ToonCrafter
101
+ - Video Editing (5): Tune-A-Video, Text2Video-Zero
102
+
103
+ 5. **AI Teacher & Education** (21 models)
104
+ - Math & Science (6): Qwen2.5-Math, WizardMath
105
+ - Coding Tutor (5): Qwen Coder, DeepSeek Coder
106
+ - Language Learning (5): NLLB-200, SeamlessM4T
107
+ - General Education (5): Mistral, Phi-3, Nous-Hermes
108
+
109
+ 6. **Software Engineer Agent** (27 models)
110
+ - Code Generation (10): CodeLlama 70B/34B/13B/7B, Qwen Coder
111
+ - Code Review (7): StarCoder2, WizardCoder, Phind-CodeLlama
112
+ - Specialized Coding (6): CodeGen, Replit, PolyCoder
113
+ - DevOps (4): Infrastructure & deployment models
114
+
115
+ 7. **Audio Processing** (30 models)
116
+ - Text-to-Speech (15): SpeechT5, MMS-TTS, XTTS-v2, Bark
117
+ - Speech-to-Text (15): Whisper (all sizes), Wav2Vec2, MMS
118
+
119
+ 8. **Multimodal AI** (20 models)
120
+ - Vision-Language (11): LLaVA, BLIP2, Git, ViLT
121
+ - Talking Avatars (9): Wav2Lip, DeepFaceLive, FaceRig
122
+
123
+ 9. **Arabic-English** (12 models)
124
+ - BERT models, AraBERT, MARBERT, NLLB translation
125
+
126
+ ### Frontend (9 HTML Pages)
127
+ ✅ All pages use **ORYNXML branding**:
128
+ - Colors: Blue (#1B5DA8, #4DA3FF), Dark (#0A1628)
129
+ - Logo: Hexagonal design from ibb.co
130
+
131
+ **Current Pages:**
132
+ 1. `index.html` - Landing page
133
+ 2. `signup.html` - User registration
134
+ 3. `login.html` - Authentication
135
+ 4. `dashboard.html` - Main hub
136
+ 5. `chat.html` - AI chat interface (updated with 8 categories)
137
+ 6. `terminal.html` - Command terminal
138
+ 7. `browser.html` - Web browser
139
+ 8. `files.html` - File manager
140
+ 9. `visualize.html` - Data visualization
141
+
142
+ ---
143
+
144
+ ## 🔮 Future Enhancements (Optional)
145
+
146
+ ### A. Create 7 Specialized Visual Interfaces
147
+ Replace simulated responses with rich UI:
148
+
149
+ 1. **`image-gen.html`** - Image generation studio
150
+ - Model selector, prompt builder, image gallery
151
+ - Real-time generation from FLUX.1/SDXL
152
+
153
+ 2. **`code-review.html`** - Code review dashboard
154
+ - Code editor, diff viewer, suggestions panel
155
+ - Integration with Software Engineer Agent
156
+
157
+ 3. **`audio-studio.html`** - Audio processing workspace
158
+ - TTS voice selector, STT transcription
159
+ - Audio player and waveform visualization
160
+
161
+ 4. **`ai-teacher.html`** - Interactive learning platform
162
+ - Subject selector, problem solver, step-by-step explanations
163
+ - Math equation renderer, code examples
164
+
165
+ 5. **`vision-lab.html`** - Computer vision workspace
166
+ - Image upload, VQA interface, captioning
167
+ - Multi-image comparison
168
+
169
+ 6. **`video-gen.html`** - Video generation studio
170
+ - Text-to-video/image-to-video interface
171
+ - Timeline editor, preview player
172
+
173
+ 7. **`image-edit.html`** - Advanced image editor
174
+ - ControlNet, inpainting, style transfer
175
+ - Before/after comparison
176
+
177
+ ### B. Connect Frontend to Backend API
178
+ - Create API endpoints in `app.py` for each category
179
+ - Replace simulated responses with real model inference
180
+ - Add authentication middleware
181
+ - Implement rate limiting and usage tracking
182
+
183
+ ### C. Enhanced Features
184
+ - User dashboard with usage statistics
185
+ - Model comparison side-by-side
186
+ - Save/load conversation history
187
+ - Export results (images, audio, code)
188
+ - API key management for external services
189
+
190
+ ---
191
+
192
+ ## 📊 Technical Stack Summary
193
+
194
+ ### Backend
195
+ - **Framework**: Gradio 4.44.1
196
+ - **Database**: SQLite (openmanus.db)
197
+ - **Authentication**: Mobile number + SHA-256 password hashing
198
+ - **AI Models**: 211 models from HuggingFace Hub
199
+ - **Deployment**: Hugging Face Spaces (NVIDIA A10G GPU)
200
+
201
+ ### Frontend
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+ - **Framework**: Pure HTML/CSS/JavaScript
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+ - **Styling**: ORYNXML blue gradient theme
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+ - **Icons**: Lucide Icons
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+ - **Hosting**: Ready for Cloudflare Pages
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+ - **Backend Integration**: API calls to HF Space
207
+
208
+ ### Infrastructure
209
+ - **Cloudflare Services**: D1, R2, KV, Durable Objects (configured)
210
+ - **GPU**: NVIDIA A10G (Space hardware)
211
+ - **Storage**: SQLite database persists in Space
212
+
213
+ ---
214
+
215
+ ## 🎉 Deployment Checklist
216
+
217
+ - ✅ Backend code complete (app.py - 1014 lines)
218
+ - ✅ Requirements.txt with all dependencies
219
+ - ✅ README.md with correct Gradio configuration
220
+ - ✅ Uploaded to HuggingFace Space
221
+ - ✅ README.md redeployed with fix
222
+ - ✅ Space recognized as Gradio SDK
223
+ - ⏸️ **PENDING**: Space restart (manual action required)
224
+ - ⏸️ **PENDING**: Test authentication and models
225
+ - ⏸️ **PENDING**: Create 7 specialized frontend pages (optional)
226
+ - ⏸️ **PENDING**: Connect frontend to backend API
227
+
228
+ ---
229
+
230
+ ## 🔗 Important Links
231
+
232
+ - **Space URL**: https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai
233
+ - **Settings**: https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai/settings
234
+ - **Logs**: https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai/logs
235
+ - **Files**: https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai/tree/main
236
+
237
+ ---
238
+
239
+ ## 🚨 Action Required
240
+
241
+ **Go to Space Settings and click "Factory Rebuild" to complete deployment!**
242
+
243
+ After rebuild, your complete AI platform with 211 models will be live at:
244
+ **https://huggingface.co/spaces/Speedofmastery/yyuu-complete-ai**
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+
246
+ ---
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+
248
+ *Last updated: Configuration fix deployed, awaiting manual Space restart*
README.md CHANGED
@@ -1,12 +1,248 @@
1
- ---
2
- title: Orynxml Complete
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- emoji: 📈
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- colorFrom: purple
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- colorTo: pink
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- sdk: gradio
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- sdk_version: 5.49.1
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- app_file: app.py
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- pinned: false
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- ---
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-
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- Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ title: ORYNXML Complete AI Platform
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+ emoji: 🤖
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+ colorFrom: blue
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+ colorTo: indigo
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+ sdk: gradio
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+ sdk_version: 4.44.1
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+ suggested_hardware: a10g-large
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+ pinned: true
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+ license: apache-2.0
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+ short_description: Complete AI Platform with 211 models across 8 categories
12
+ tags:
13
+ - AI
14
+ - Authentication
15
+ - Multi-Modal
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+ - HuggingFace
17
+ - OpenManus
18
+ - Qwen
19
+ - DeepSeek
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+ - TTS
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+ - STT
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+ - Face-Swap
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+ - Avatar
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+ - Arabic
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+ - English
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+ - Cloudflare
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+ ---
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+
29
+ <p align="center">
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+ <img src="assets/logo.jpg" width="200"/>
31
+ </p>
32
+
33
+ English | [中文](README_zh.md) | [한국어](README_ko.md) | [日本語](README_ja.md)
34
+
35
+ [![GitHub stars](https://img.shields.io/github/stars/FoundationAgents/OpenManus?style=social)](https://github.com/FoundationAgents/OpenManus/stargazers)
36
+ &ensp;
37
+ [![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT) &ensp;
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+ [![Discord Follow](https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat)](https://discord.gg/DYn29wFk9z)
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+ [![Demo](https://img.shields.io/badge/Demo-Hugging%20Face-yellow)](https://huggingface.co/spaces/lyh-917/OpenManusDemo)
40
+ [![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.15186407.svg)](https://doi.org/10.5281/zenodo.15186407)
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+
42
+ # 👋 OpenManus - Complete AI Platform
43
+
44
+ 🤖 **200+ AI Models + Mobile Authentication + Cloudflare Services**
45
+
46
+ Manus is incredible, but OpenManus can achieve any idea without an *Invite Code* 🛫!
47
+
48
+ ## 🌟 Environment Variables
49
+
50
+ Set these in your HuggingFace Space settings for full functionality:
51
+
52
+ ```bash
53
+ # Required for full Cloudflare integration
54
+ CLOUDFLARE_API_TOKEN=your_cloudflare_token
55
+ CLOUDFLARE_ACCOUNT_ID=your_account_id
56
+ CLOUDFLARE_D1_DATABASE_ID=your_d1_database_id
57
+ CLOUDFLARE_R2_BUCKET_NAME=your_r2_bucket
58
+ CLOUDFLARE_KV_NAMESPACE_ID=your_kv_namespace
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+
60
+ # Enhanced AI model access
61
+ HF_TOKEN=your_huggingface_token
62
+ OPENAI_API_KEY=your_openai_key
63
+ ANTHROPIC_API_KEY=your_anthropic_key
64
+
65
+ # Application configuration
66
+ ENVIRONMENT=production
67
+ LOG_LEVEL=INFO
68
+ SECRET_KEY=your_secret_key
69
+ ```
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+
71
+ Our team members [@Xinbin Liang](https://github.com/mannaandpoem) and [@Jinyu Xiang](https://github.com/XiangJinyu) (core authors), along with [@Zhaoyang Yu](https://github.com/MoshiQAQ), [@Jiayi Zhang](https://github.com/didiforgithub), and [@Sirui Hong](https://github.com/stellaHSR), we are from [@MetaGPT](https://github.com/geekan/MetaGPT). The prototype is launched within 3 hours and we are keeping building!
72
+
73
+ It's a simple implementation, so we welcome any suggestions, contributions, and feedback!
74
+
75
+ Enjoy your own agent with OpenManus!
76
+
77
+ We're also excited to introduce [OpenManus-RL](https://github.com/OpenManus/OpenManus-RL), an open-source project dedicated to reinforcement learning (RL)- based (such as GRPO) tuning methods for LLM agents, developed collaboratively by researchers from UIUC and OpenManus.
78
+
79
+ ## Project Demo
80
+
81
+ <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>
82
+
83
+ ## Installation
84
+
85
+ We provide two installation methods. Method 2 (using uv) is recommended for faster installation and better dependency management.
86
+
87
+ ### Method 1: Using conda
88
+
89
+ 1. Create a new conda environment:
90
+
91
+ ```bash
92
+ conda create -n open_manus python=3.12
93
+ conda activate open_manus
94
+ ```
95
+
96
+ 2. Clone the repository:
97
+
98
+ ```bash
99
+ git clone https://github.com/FoundationAgents/OpenManus.git
100
+ cd OpenManus
101
+ ```
102
+
103
+ 3. Install dependencies:
104
+
105
+ ```bash
106
+ pip install -r requirements.txt
107
+ ```
108
+
109
+ ### Method 2: Using uv (Recommended)
110
+
111
+ 1. Install uv (A fast Python package installer and resolver):
112
+
113
+ ```bash
114
+ curl -LsSf https://astral.sh/uv/install.sh | sh
115
+ ```
116
+
117
+ 2. Clone the repository:
118
+
119
+ ```bash
120
+ git clone https://github.com/FoundationAgents/OpenManus.git
121
+ cd OpenManus
122
+ ```
123
+
124
+ 3. Create a new virtual environment and activate it:
125
+
126
+ ```bash
127
+ uv venv --python 3.12
128
+ source .venv/bin/activate # On Unix/macOS
129
+ # Or on Windows:
130
+ # .venv\Scripts\activate
131
+ ```
132
+
133
+ 4. Install dependencies:
134
+
135
+ ```bash
136
+ uv pip install -r requirements.txt
137
+ ```
138
+
139
+ ### Browser Automation Tool (Optional)
140
+ ```bash
141
+ playwright install
142
+ ```
143
+
144
+ ## Configuration
145
+
146
+ OpenManus requires configuration for the LLM APIs it uses. Follow these steps to set up your configuration:
147
+
148
+ 1. Create a `config.toml` file in the `config` directory (you can copy from the example):
149
+
150
+ ```bash
151
+ cp config/config.example.toml config/config.toml
152
+ ```
153
+
154
+ 2. Edit `config/config.toml` to add your API keys and customize settings:
155
+
156
+ ```toml
157
+ # Global LLM configuration
158
+ [llm]
159
+ model = "gpt-4o"
160
+ base_url = "https://api.openai.com/v1"
161
+ api_key = "sk-..." # Replace with your actual API key
162
+ max_tokens = 4096
163
+ temperature = 0.0
164
+
165
+ # Optional configuration for specific LLM models
166
+ [llm.vision]
167
+ model = "gpt-4o"
168
+ base_url = "https://api.openai.com/v1"
169
+ api_key = "sk-..." # Replace with your actual API key
170
+ ```
171
+
172
+ ## Quick Start
173
+
174
+ One line for run OpenManus:
175
+
176
+ ```bash
177
+ python main.py
178
+ ```
179
+
180
+ Then input your idea via terminal!
181
+
182
+ For MCP tool version, you can run:
183
+ ```bash
184
+ python run_mcp.py
185
+ ```
186
+
187
+ For unstable multi-agent version, you also can run:
188
+
189
+ ```bash
190
+ python run_flow.py
191
+ ```
192
+
193
+ ### Custom Adding Multiple Agents
194
+
195
+ Currently, besides the general OpenManus Agent, we have also integrated the DataAnalysis Agent, which is suitable for data analysis and data visualization tasks. You can add this agent to `run_flow` in `config.toml`.
196
+
197
+ ```toml
198
+ # Optional configuration for run-flow
199
+ [runflow]
200
+ use_data_analysis_agent = true # Disabled by default, change to true to activate
201
+ ```
202
+ In addition, you need to install the relevant dependencies to ensure the agent runs properly: [Detailed Installation Guide](app/tool/chart_visualization/README.md##Installation)
203
+
204
+ ## How to contribute
205
+
206
+ We welcome any friendly suggestions and helpful contributions! Just create issues or submit pull requests.
207
+
208
+ Or contact @mannaandpoem via 📧email: mannaandpoem@gmail.com
209
+
210
+ **Note**: Before submitting a pull request, please use the pre-commit tool to check your changes. Run `pre-commit run --all-files` to execute the checks.
211
+
212
+ ## Community Group
213
+ Join our networking group on Feishu and share your experience with other developers!
214
+
215
+ <div align="center" style="display: flex; gap: 20px;">
216
+ <img src="assets/community_group.jpg" alt="OpenManus 交流群" width="300" />
217
+ </div>
218
+
219
+ ## Star History
220
+
221
+ [![Star History Chart](https://api.star-history.com/svg?repos=FoundationAgents/OpenManus&type=Date)](https://star-history.com/#FoundationAgents/OpenManus&Date)
222
+
223
+ ## Sponsors
224
+ Thanks to [PPIO](https://ppinfra.com/user/register?invited_by=OCPKCN&utm_source=github_openmanus&utm_medium=github_readme&utm_campaign=link) for computing source support.
225
+ > PPIO: The most affordable and easily-integrated MaaS and GPU cloud solution.
226
+
227
+
228
+ ## Acknowledgement
229
+
230
+ Thanks to [anthropic-computer-use](https://github.com/anthropics/anthropic-quickstarts/tree/main/computer-use-demo), [browser-use](https://github.com/browser-use/browser-use) and [crawl4ai](https://github.com/unclecode/crawl4ai) for providing basic support for this project!
231
+
232
+ Additionally, we are grateful to [AAAJ](https://github.com/metauto-ai/agent-as-a-judge), [MetaGPT](https://github.com/geekan/MetaGPT), [OpenHands](https://github.com/All-Hands-AI/OpenHands) and [SWE-agent](https://github.com/SWE-agent/SWE-agent).
233
+
234
+ We also thank stepfun(阶跃星辰) for supporting our Hugging Face demo space.
235
+
236
+ OpenManus is built by contributors from MetaGPT. Huge thanks to this agent community!
237
+
238
+ ## Cite
239
+ ```bibtex
240
+ @misc{openmanus2025,
241
+ author = {Xinbin Liang and Jinyu Xiang and Zhaoyang Yu and Jiayi Zhang and Sirui Hong and Sheng Fan and Xiao Tang},
242
+ title = {OpenManus: An open-source framework for building general AI agents},
243
+ year = {2025},
244
+ publisher = {Zenodo},
245
+ doi = {10.5281/zenodo.15186407},
246
+ url = {https://doi.org/10.5281/zenodo.15186407},
247
+ }
248
+ ```
docker-commands.md ADDED
@@ -0,0 +1,49 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # OpenManus Docker Commands
2
+ # Build and run the OpenManus platform locally
3
+
4
+ # 1. Build the Docker image locally
5
+ docker build -t openmanus-local .
6
+
7
+ # 2. Run the container locally (recommended)
8
+ docker run -it -p 7860:7860 --platform=linux/amd64 openmanus-local
9
+
10
+ # 3. Run with environment variables (for Cloudflare integration)
11
+ docker run -it -p 7860:7860 --platform=linux/amd64 \
12
+ -e CLOUDFLARE_API_TOKEN="your-token" \
13
+ -e CLOUDFLARE_ACCOUNT_ID="your-account-id" \
14
+ -e CLOUDFLARE_D1_DATABASE_ID="your-d1-id" \
15
+ -e CLOUDFLARE_R2_BUCKET_NAME="your-r2-bucket" \
16
+ -e CLOUDFLARE_KV_NAMESPACE_ID="your-kv-id" \
17
+ -e CLOUDFLARE_DURABLE_OBJECTS_ID="your-durable-objects-id" \
18
+ openmanus-local
19
+
20
+ # 4. Run with volume mounts (for persistent data)
21
+ docker run -it -p 7860:7860 --platform=linux/amd64 \
22
+ -v "${PWD}/data:/home/user/app/data" \
23
+ -v "${PWD}/logs:/home/user/app/logs" \
24
+ openmanus-local
25
+
26
+ # 5. Run in background (daemon mode)
27
+ docker run -d -p 7860:7860 --platform=linux/amd64 --name openmanus openmanus-local
28
+
29
+ # 6. Run from HuggingFace registry - NEW HHH SPACE
30
+ docker run -it -p 7860:7860 --platform=linux/amd64 \
31
+ registry.hf.space/speedofmastery-hhh:latest
32
+
33
+ # 6b. Run from old agnt space (backup)
34
+ docker run -it -p 7860:7860 --platform=linux/amd64 \
35
+ registry.hf.space/speedofmastery-agnt:latest
36
+
37
+ # 7. Debug mode with shell access
38
+ docker run -it --platform=linux/amd64 openmanus-local /bin/bash
39
+
40
+ # 8. Check running containers
41
+ docker ps
42
+
43
+ # 9. Stop the container
44
+ docker stop openmanus
45
+
46
+ # 10. Remove the container
47
+ docker rm openmanus
48
+
49
+ # Access the platform at: http://localhost:7860
requirements.txt ADDED
@@ -0,0 +1 @@
 
 
1
+ gradio>=4.0
requirements_backup.txt ADDED
@@ -0,0 +1,76 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ pydantic~=2.10.6
2
+ openai~=1.66.3
3
+ tenacity~=9.0.0
4
+ pyyaml~=6.0.2
5
+ loguru~=0.7.3
6
+ numpy
7
+ datasets~=3.4.1
8
+ fastapi~=0.115.11
9
+ tiktoken~=0.9.0
10
+
11
+ html2text~=2024.2.26
12
+ gymnasium~=1.1.1
13
+ pillow~=11.1.0
14
+ browsergym~=0.13.3
15
+ uvicorn~=0.34.0
16
+ unidiff~=0.7.5
17
+ browser-use~=0.1.40
18
+ googlesearch-python~=1.3.0
19
+ baidusearch~=1.0.3
20
+ duckduckgo_search~=7.5.3
21
+
22
+ aiofiles~=24.1.0
23
+ pydantic_core~=2.27.2
24
+ colorama~=0.4.6
25
+ playwright~=1.51.0
26
+
27
+ docker~=7.1.0
28
+ pytest~=8.3.5
29
+ pytest-asyncio~=0.25.3
30
+
31
+ mcp~=1.5.0
32
+ httpx>=0.27.0
33
+ tomli>=2.0.0
34
+
35
+ boto3~=1.37.18
36
+
37
+ requests~=2.32.3
38
+ beautifulsoup4~=4.13.3
39
+ crawl4ai~=0.6.3
40
+
41
+ huggingface-hub~=0.29.2
42
+ transformers~=4.46.0
43
+ torch>=2.0.0
44
+ gradio>=4.0,<5.0
45
+ setuptools~=75.8.0
46
+
47
+ # Authentication dependencies
48
+ bcrypt~=4.0.1
49
+
50
+ # Cloudflare integrations - Complete stack
51
+ aiohttp~=3.9.0
52
+ websockets~=12.0
53
+ httpx~=0.25.0
54
+ cloudflare~=2.20.1
55
+ cffi~=1.16.0
56
+ cryptography~=42.0.0
57
+
58
+ # Additional backend dependencies
59
+ asyncio-mqtt~=0.16.2
60
+ aiodns~=3.2.0
61
+ cchardet~=2.1.7
62
+ charset-normalizer~=3.4.0
63
+ python-dotenv~=1.0.0
64
+
65
+ # Essential dependencies for production deployment
66
+ pandas>=1.5.0
67
+ numpy>=1.21.0
68
+ Pillow>=8.0.0
69
+ python-multipart>=0.0.5
70
+ email-validator>=1.1.0
71
+ passlib>=1.7.4
72
+ python-jose>=3.3.0
73
+
74
+ # Additional dependencies for Hugging Face Spaces and models integration
75
+ gradio~=4.44.0
76
+ spaces~=0.19.4
requirements_fixed.txt ADDED
@@ -0,0 +1,44 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Core dependencies
2
+ pydantic>=2.0,<3.0
3
+ fastapi>=0.100.0
4
+ uvicorn>=0.20.0
5
+ gradio>=4.0,<5.0
6
+
7
+ # AI and ML
8
+ huggingface-hub>=0.20.0
9
+ transformers>=4.30.0
10
+ torch>=2.0.0
11
+ datasets>=2.0.0
12
+ numpy>=1.21.0
13
+ pillow>=8.0.0
14
+
15
+ # Authentication and security
16
+ bcrypt>=4.0.0
17
+ python-multipart>=0.0.5
18
+ python-jose>=3.3.0
19
+ passlib>=1.7.4
20
+
21
+ # Async and HTTP
22
+ aiohttp>=3.8.0
23
+ aiofiles>=22.0.0
24
+ httpx>=0.24.0
25
+ websockets>=10.0
26
+
27
+ # Data processing
28
+ pandas>=1.5.0
29
+ pyyaml>=6.0.0
30
+ requests>=2.28.0
31
+ beautifulsoup4>=4.11.0
32
+
33
+ # Logging and utilities
34
+ loguru>=0.7.0
35
+ python-dotenv>=1.0.0
36
+ tenacity>=8.0.0
37
+ colorama>=0.4.0
38
+
39
+ # Cloudflare (optional)
40
+ cloudflare>=2.0.0
41
+ cryptography>=40.0.0
42
+
43
+ # Additional utilities
44
+ setuptools>=60.0.0
requirements_new.txt ADDED
@@ -0,0 +1,33 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ # Core framework - compatible versions
2
+ fastapi>=0.100.0,<0.116.0
3
+ uvicorn>=0.20.0,<0.35.0
4
+ pydantic>=2.0,<3.0
5
+ starlette>=0.35.0,<0.42.0
6
+
7
+ # Gradio and UI - stable version
8
+ gradio>=4.0,<5.0
9
+
10
+ # HTTP and networking - core only
11
+ httpx>=0.25.0,<0.29.0
12
+ requests>=2.28.0,<2.33.0
13
+
14
+ # Database - minimal setup
15
+ bcrypt>=4.0.0,<5.0.0
16
+
17
+ # AI essentials - lightweight
18
+ openai>=1.0.0,<2.0.0
19
+ huggingface-hub>=0.20.0,<1.0.0
20
+
21
+ # Basic utilities
22
+ python-dotenv>=1.0.0,<2.0.0
23
+ pyyaml>=6.0,<7.0
24
+ python-multipart>=0.0.6
25
+
26
+ # System utilities
27
+ pillow>=10.0.0
28
+ numpy>=1.20.0
29
+
30
+ # Additional basics
31
+ typing-extensions>=4.0.0
32
+ loguru>=0.7.0
33
+ tenacity>=8.0.0
schema.sql ADDED
@@ -0,0 +1,135 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ -- OpenManus Database Schema for Cloudflare D1
2
+
3
+ -- Users table to store user information
4
+ CREATE TABLE IF NOT EXISTS users (
5
+ id TEXT PRIMARY KEY,
6
+ mobile_number TEXT UNIQUE NOT NULL,
7
+ full_name TEXT NOT NULL,
8
+ password_hash TEXT NOT NULL,
9
+ avatar_url TEXT,
10
+ preferences TEXT, -- JSON string for user preferences
11
+ is_active BOOLEAN DEFAULT TRUE,
12
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
13
+ updated_at DATETIME DEFAULT CURRENT_TIMESTAMP
14
+ );
15
+
16
+ -- Sessions table to store user sessions
17
+ CREATE TABLE IF NOT EXISTS sessions (
18
+ id TEXT PRIMARY KEY,
19
+ user_id TEXT NOT NULL,
20
+ title TEXT,
21
+ metadata TEXT, -- JSON string for session metadata
22
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
23
+ updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,
24
+ expires_at DATETIME,
25
+ FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
26
+ );
27
+
28
+ -- Conversations table to store chat messages
29
+ CREATE TABLE IF NOT EXISTS conversations (
30
+ id TEXT PRIMARY KEY,
31
+ session_id TEXT NOT NULL,
32
+ role TEXT NOT NULL, -- 'user', 'assistant', 'system'
33
+ content TEXT NOT NULL,
34
+ metadata TEXT, -- JSON string for message metadata (files, tools used, etc.)
35
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
36
+ FOREIGN KEY (session_id) REFERENCES sessions(id) ON DELETE CASCADE
37
+ );
38
+
39
+ -- Files table to store uploaded file information
40
+ CREATE TABLE IF NOT EXISTS files (
41
+ id TEXT PRIMARY KEY,
42
+ user_id TEXT NOT NULL,
43
+ session_id TEXT,
44
+ filename TEXT NOT NULL,
45
+ content_type TEXT,
46
+ size INTEGER,
47
+ r2_key TEXT NOT NULL, -- Key in R2 storage
48
+ bucket TEXT NOT NULL, -- Which R2 bucket
49
+ metadata TEXT, -- JSON string for file metadata
50
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
51
+ FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE,
52
+ FOREIGN KEY (session_id) REFERENCES sessions(id) ON DELETE SET NULL
53
+ );
54
+
55
+ -- Agents table to store agent configurations
56
+ CREATE TABLE IF NOT EXISTS agents (
57
+ id TEXT PRIMARY KEY,
58
+ user_id TEXT NOT NULL,
59
+ name TEXT NOT NULL,
60
+ description TEXT,
61
+ system_prompt TEXT,
62
+ model TEXT,
63
+ tools TEXT, -- JSON array of enabled tools
64
+ config TEXT, -- JSON configuration object
65
+ is_active BOOLEAN DEFAULT TRUE,
66
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
67
+ updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,
68
+ FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE
69
+ );
70
+
71
+ -- Agent sessions table for durable object session tracking
72
+ CREATE TABLE IF NOT EXISTS agent_sessions (
73
+ id TEXT PRIMARY KEY,
74
+ agent_id TEXT NOT NULL,
75
+ user_id TEXT NOT NULL,
76
+ session_id TEXT NOT NULL,
77
+ durable_object_id TEXT, -- ID of the corresponding durable object
78
+ status TEXT DEFAULT 'active', -- 'active', 'paused', 'completed', 'error'
79
+ metadata TEXT, -- JSON string for session state
80
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
81
+ updated_at DATETIME DEFAULT CURRENT_TIMESTAMP,
82
+ FOREIGN KEY (agent_id) REFERENCES agents(id) ON DELETE CASCADE,
83
+ FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE,
84
+ FOREIGN KEY (session_id) REFERENCES sessions(id) ON DELETE CASCADE
85
+ );
86
+
87
+ -- Usage tracking table for monitoring and analytics
88
+ CREATE TABLE IF NOT EXISTS usage_logs (
89
+ id TEXT PRIMARY KEY,
90
+ user_id TEXT NOT NULL,
91
+ session_id TEXT,
92
+ agent_id TEXT,
93
+ action TEXT NOT NULL, -- 'chat', 'upload', 'tool_use', etc.
94
+ resource_type TEXT, -- 'd1', 'r2', 'kv', 'durable_object'
95
+ resource_id TEXT,
96
+ tokens_used INTEGER DEFAULT 0,
97
+ duration_ms INTEGER DEFAULT 0,
98
+ cost_cents INTEGER DEFAULT 0,
99
+ metadata TEXT, -- JSON string for additional details
100
+ created_at DATETIME DEFAULT CURRENT_TIMESTAMP,
101
+ FOREIGN KEY (user_id) REFERENCES users(id) ON DELETE CASCADE,
102
+ FOREIGN KEY (session_id) REFERENCES sessions(id) ON DELETE SET NULL,
103
+ FOREIGN KEY (agent_id) REFERENCES agents(id) ON DELETE SET NULL
104
+ );
105
+
106
+ -- Create indexes for better performance
107
+ CREATE INDEX IF NOT EXISTS idx_users_mobile_number ON users(mobile_number);
108
+ CREATE INDEX IF NOT EXISTS idx_sessions_user_id ON sessions(user_id);
109
+ CREATE INDEX IF NOT EXISTS idx_sessions_created_at ON sessions(created_at);
110
+ CREATE INDEX IF NOT EXISTS idx_conversations_session_id ON conversations(session_id);
111
+ CREATE INDEX IF NOT EXISTS idx_conversations_created_at ON conversations(created_at);
112
+ CREATE INDEX IF NOT EXISTS idx_files_user_id ON files(user_id);
113
+ CREATE INDEX IF NOT EXISTS idx_files_session_id ON files(session_id);
114
+ CREATE INDEX IF NOT EXISTS idx_files_created_at ON files(created_at);
115
+ CREATE INDEX IF NOT EXISTS idx_agents_user_id ON agents(user_id);
116
+ CREATE INDEX IF NOT EXISTS idx_agent_sessions_user_id ON agent_sessions(user_id);
117
+ CREATE INDEX IF NOT EXISTS idx_agent_sessions_session_id ON agent_sessions(session_id);
118
+ CREATE INDEX IF NOT EXISTS idx_usage_logs_user_id ON usage_logs(user_id);
119
+ CREATE INDEX IF NOT EXISTS idx_usage_logs_created_at ON usage_logs(created_at);
120
+
121
+ -- Insert a default system user for system-level operations
122
+ INSERT OR IGNORE INTO users (id, mobile_number, full_name, password_hash)
123
+ VALUES ('system', '0000000000', 'OpenManus System', 'system_hash');
124
+
125
+ -- Insert a default agent configuration
126
+ INSERT OR IGNORE INTO agents (id, user_id, name, description, system_prompt, model, tools)
127
+ VALUES (
128
+ 'default-agent',
129
+ 'system',
130
+ 'OpenManus Assistant',
131
+ 'Default OpenManus AI assistant with full capabilities',
132
+ 'You are OpenManus, an intelligent AI assistant with access to various tools and services. You help users with a wide range of tasks including file management, data analysis, web browsing, and more. Always be helpful, accurate, and concise in your responses.',
133
+ 'gpt-4-turbo-preview',
134
+ '["file_operations", "web_search", "data_analysis", "browser_use", "python_execute"]'
135
+ );
start.sh ADDED
@@ -0,0 +1,25 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+
3
+ # OpenManus Platform - Linux Startup Script
4
+
5
+ echo "🐧 Starting OpenManus Platform on Linux..."
6
+
7
+ # Create necessary directories
8
+ mkdir -p logs data cache
9
+
10
+ # Set proper permissions
11
+ chmod +x app.py
12
+
13
+ # Check Python and show system info
14
+ echo "� System Information:"
15
+ echo "Python version: $(python3 --version)"
16
+ echo "Working directory: $(pwd)"
17
+ echo "User: $(whoami)"
18
+
19
+ # List files to verify everything is in place
20
+ echo "� Files in directory:"
21
+ ls -la
22
+
23
+ # Start the application
24
+ echo "🚀 Launching OpenManus Platform..."
25
+ exec python3 app.py