Cursor & Claude: AI-Powered Honcho Setup

Create a personal AI assistant using Honcho that remembers user preferences and conversations. Requirements:

REFERENCE DOCUMENTATION:
- Honcho Docs: https://docs.honcho.dev
- Honcho GitHub: https://github.com/plastic-labs/honcho
- Python SDK: https://github.com/plastic-labs/honcho-python
- API Reference: https://docs.honcho.dev/v2/api-reference/introduction

WHAT TO BUILD:
- Personal assistant that learns about the user automatically
- Remembers preferences, habits, and conversation history
- Provides personalized responses based on past interactions
- Uses Honcho's demo server (no setup required)

TECHNICAL SETUP:
- Python with Honcho SDK and OpenAI
- Simple command-line interface for testing
- Environment: Use demo.honcho.dev (no API key needed)
- LLM: OpenAI GPT-4 (provide env var setup)

CODE REQUIREMENTS:
- Complete working example with extensive comments
- Error handling and user-friendly messages
- Demonstration of key Honcho concepts:
  * Creating peers (user and assistant)
  * Managing sessions and conversations
  * Automatic learning from interactions
  * Querying learned information
  * Getting context for AI responses

EXAMPLE WORKFLOW:
1. User starts conversation with assistant
2. Assistant responds using any existing knowledge about user
3. System automatically learns facts from the conversation
4. System stores conversation in session
5. Future conversations reference past interactions

Include installation instructions, environment setup, and example conversations to test.

Build a Discord bot using Honcho that learns about server members and provides personalized interactions.

REFERENCE DOCUMENTATION:
- Honcho Docs: https://docs.honcho.dev
- Honcho GitHub: https://github.com/plastic-labs/honcho
- Python SDK: https://github.com/plastic-labs/honcho-python
- Discord Guide: https://docs.honcho.dev/v2/guides/discord
- API Reference: https://docs.honcho.dev/v2/api-reference/introduction

STARTER TEMPLATE:
- Use the official discord-python-starter from Plastic Labs: https://github.com/plastic-labs/discord-python-starter
- This template already includes Honcho integration, py-cord, and fly.io deployment
- Modify the existing bot.py file to add enhanced memory features

WHAT TO BUILD:
- Discord bot with persistent memory using Honcho
- Learns about users through natural conversation  
- Provides personalized responses based on user history
- Handles multi-user conversations with context awareness
- Extends the starter template with advanced memory features

TECHNICAL SETUP:
- Clone the discord-python-starter repository
- Python with py-cord, Honcho SDK, and OpenRouter LLM support
- Uses uv for package management (already configured)
- Environment variables template provided (.env.template)
- Docker and fly.io deployment ready

CORE FEATURES TO ADD:
- Enhanced per-user memory and personality modeling
- Channel-specific session management  
- Theory-of-mind queries ("What does this user like?")
- Advanced fact extraction from conversations
- Multi-participant conversation handling
- Slash commands for memory management

IMPLEMENTATION REQUIREMENTS:
- Extend the existing on_message function with memory features
- Add new slash commands for memory testing and management
- Integrate Honcho's dialectic API for personalized responses
- Add session management for different channels
- Implement background fact learning and storage
- Error handling and comprehensive logging

DEPLOYMENT:
- Use the included fly.toml for deployment
- Environment variable management with fly secrets
- Docker containerization (Dockerfile provided)

Include examples of enhanced bot interactions and memory demonstrations.

I want to quickly prototype an AI agent with Honcho. Help me build:

REFERENCE DOCUMENTATION:
- Honcho Docs: https://docs.honcho.dev
- Honcho GitHub: https://github.com/plastic-labs/honcho
- Quickstart Guide: https://docs.honcho.dev/v2/documentation/introduction/quickstart
- SDK Documentation: https://docs.honcho.dev/v2/documentation/platform/sdk

1. SETUP: Complete development environment with Honcho demo server
2. CORE: Basic peer/session/message workflow with memory
3. INTEGRATION: OpenAI LLM integration with context management
4. TESTING: Simple test cases to verify memory functionality
5. ITERATION: Framework for adding features incrementally

Focus on:
- Working code over perfect architecture
- Clear comments explaining Honcho concepts
- Easy-to-modify structure for experimentation
- Immediate feedback and testing capabilities

Start with the most minimal viable example and show me how to extend it.

Help me deploy my Honcho application to production:

REFERENCE DOCUMENTATION:
- Self-Hosting Guide: https://docs.honcho.dev/v2/contributing/self-hosting
- Configuration Guide: https://docs.honcho.dev/v2/contributing/configuration-guide
- Platform Overview: https://docs.honcho.dev/v2/documentation/platform/overview

REQUIREMENTS:
- Environment configuration and secrets management
- Database setup and migrations
- API authentication and rate limiting
- Monitoring and logging setup
- Deployment automation

Provide step-by-step deployment instructions for [Fly.io/Vercel/Railway/Heroku].