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The Cheshire Cat

Memory Chain

The Cheshire Cat

Hello, dear
Quickstart
Quickstart
Plugins
Plugins
- Plugin
- Tools
- Hooks
- Forms
- Logging
- Settings
- Dependencies
- Python Reference
  Python Reference
  - factory
    factory
    
    ollama_utils
  - log
  - looking_glass
    looking_glass
    
    cheshire_cat
    
    stray_cat
  - mad_hatter
    mad_hatter
    
    core_plugin
    core_plugin
    
    hooks
    hooks
    
    agent
    
    flow
    
    prompt
    
    rabbithole
    
    mad_hatter
    
    plugin
  - memory
    memory
    
    vector_memory
    
    vector_memory_collection
    
    working_memory
  - rabbit_hole
  - routes
    routes
    
    settings
  - utils
- Registry
  Registry
  - Using the Plugin Template
  - Publishing a Plugin
- Debugging
  Debugging
  - Visual Studio Code
Framework
Framework
- LLM Concepts
  LLM Concepts
- Cat Components
  Cat Components
  - The Core
  - The Agent
    The Agent
    
    Introduction
    
    Tool Chain
    
    Memory Chain
  - The Prompts
    The Prompts
    
    Main Prompt
    
    Instruction Prompt
  - The Vector Memory
    The Vector Memory
    
    Vector Memory Collections
  - The Long Term Memory
    The Long Term Memory
    
    Introduction
    
    Episodic Memory
    
    Declarative Memory
    
    Procedural Memory
  - The Working Memory
  - The Rabbit Hole
  - The Mad Hatter
- Technical Diagrams
  Technical Diagrams
Production
Production
- Client Libraries
  Client Libraries
  - Python
  - TypeScript
  - PHP
  - Ruby
  - C#
- Administrations
  Administrations
- Use Cases
  Use Cases
- Guides
  Guides
  - How to backup the Long Term Memory
FAQ

Memory Chain

The Memory Chain is a simple chain that takes the user's input and the context retrieved from the episodic and declarative memories and formats them in the main prompt. Such prompt is submitted to the language model.

Schema of the Cheshire Cat memories