integration_hooks

Always Memory Integration Hooks

These minimal hooks show how to integrate the Always Memory mechanism with an AI inference pipeline. They are intentionally simple to illustrate the core pattern.

Files

• simple_wrapper.py - Python wrapper showing memory logging integration
• cli_demo.sh - Bash script to run the wrapper from command line
• webhook_stub.js - Node.js webhook for remote memory submission

Prerequisites

• Your Always Memory implementation exposes a MemoryLogger with:
  • log_memory() method for creating memory entries
  • Classification support (+1, 0, -1)
  • Sacred Zero trigger detection
  • Environmental impact tracking (optional)

Usage

Python Integration

from simple_wrapper import MemoryLogger, generate_with_memory

logger = MemoryLogger("my-model-v1")
result = generate_with_memory(prompt, model, logger)

CLI Demo

./cli_demo.sh "Write a poem about nature"

Webhook Integration

// POST memory entry to Stewardship Custodians network
await submitMemory(memoryEntry);

Key Concepts

1. No Memory = No Action: Every AI action must create a memory before execution
2. Sacred Zero: Pause on moral complexity (classification = 0)
3. Environmental Impact: Track planetary effects when applicable
4. Immutability: Once created, memories cannot be altered

Runtime Obligations

• Create memory BEFORE action execution
• Include classification (-1, 0, +1)
• Log Sacred Zero triggers when detected
• Submit to Stewardship Custodians network for attestation
• Handle backpressure gracefully (HTTP 429)

See docs/General_FAQ.md for complete framework details.

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Creator: Lev Goukassian (ORCID: 0009-0006-5966-1243)
Repository: https://github.com/FractonicMind/TernaryMoralLogic