feat: create uv env

.python-version

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+3.12

PROGRESS.md

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+# Echo Hearts - Development Progress
+
+## Project Overview
+AI Companion RPG with emergent relationships built on Model Context Protocol (MCP)
+
+**Hackathon**: MCP's 1st Birthday Hackathon (Nov 2025)
+**Track**: MCP in Action - Games Category
+**Repository**: echo-hearts
+
+---
+
+## Available APIs & Credits
+
+### Primary AI APIs
+- **Anthropic Claude** - $25k total credits available
+  - Best for: Character dialogue, personality modeling, context understanding
+  - Recommended for main companion AI
+
+- **OpenAI** - $25 credits per participant
+  - Option for: Alternative dialogue generation
+
+- **Google Gemini** - $30k total credits ($10k per category)
+  - Option for: Multimodal interactions
+
+- **SambaNova** - $25 credits (1500 participants)
+  - Option for: Fast inference
+
+### Supporting Services
+- **ElevenLabs** - $44 membership credits (5000 participants)
+  - Use for: Voice synthesis for companions
+
+- **Modal** - $250 credits + $2,500 innovation award potential
+  - Use for: Serverless deployment, scaling
+
+- **Blaxel** - $250 credits + $2,500 choice award potential
+  - TBD usage
+
+- **Hugging Face** - $25 credits
+  - Use for: Model hosting, deployment
+
+---
+
+## Technical Stack
+
+### Confirmed
+- [x] MCP (Model Context Protocol)
+- [x] Gradio 6
+- [x] Git repository initialized
+
+### To Implement
+- [ ] Choose primary AI API (Recommended: Anthropic Claude)
+- [ ] MCP server setup for character memory
+- [ ] Character personality agents
+- [ ] Conversation memory system
+- [ ] Gradio interface
+- [ ] Session persistence
+
+---
+
+## Development Roadmap
+
+### Phase 1: Foundation
+- [ ] Set up MCP server
+- [ ] Configure API credentials (Claude recommended)
+- [ ] Design character memory schema
+- [ ] Create basic Gradio interface
+
+### Phase 2: Core Features
+- [ ] Implement first AI companion agent
+- [ ] Build conversation memory system
+- [ ] Test personality emergence
+- [ ] Add context retrieval
+
+### Phase 3: Enhancement
+- [ ] Multiple companions
+- [ ] Relationship dynamics
+- [ ] Voice integration (ElevenLabs)
+- [ ] Session history
+
+### Phase 4: Polish
+- [ ] Deploy to Modal/Hugging Face
+- [ ] Demo preparation
+- [ ] Documentation
+
+---
+
+## Notes
+- Focus on MCP for persistent memory - this is the key differentiator
+- Use Claude API for natural, context-aware dialogue
+- Keep companions autonomous with individual MCP contexts
+- Gradio 6 for quick interactive prototyping
+
+---
+
+**Last Updated**: 2025-11-19

app.py

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+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+demo.launch()

main.py

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+def main():
+    print("Hello from echo-hearts!")
+
+
+if __name__ == "__main__":
+    main()

pyproject.toml

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+[project]
+name = "echo-hearts"
+version = "0.1.0"
+description = "Add your description here"
+readme = "README.md"
+requires-python = ">=3.12"
+dependencies = [
+    "gradio>=5.49.1",
+]