Usage & Integration
Reservoir is designed to work seamlessly with your existing AI workflows and tools. This section covers various ways to integrate and use Reservoir in your projects.
Integration Options
Chat Applications
- Chat Gipitty Integration - Add persistent memory to your Chat Gipitty conversations
- Python with OpenAI Library - Use Reservoir with the popular OpenAI Python client
Direct API Usage
- Curl Examples - Command-line examples for testing and scripting
- Ollama Integration - Use Reservoir with local Ollama models
Common Use Cases
- Multi-session conversations - Maintain context across different chat sessions
- Cross-application memory - Share conversation history between different tools
- Local AI workflows - Keep conversations private while using local models
- Research and development - Build applications that learn from past interactions
Choosing Your Integration
- New to AI development? Start with Chat Gipitty Integration
- Python developer? Check out Python with OpenAI Library
- Command-line user? Try the Curl Examples
- Privacy-focused? Use Ollama Integration for fully local conversations
Each integration method maintains the same core benefits: persistent memory, context enrichment, and seamless AI conversations.