🔖 White Save Suite – A lightweight system for saving memory and logic across LLM sessions

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:brain: Hugging Face Forum Post – White Save Suite (v1)

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:bookmark: White Save Suite – A lightweight system for saving memory and logic across LLM sessions

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Hey all —

I’ve been building and refining a tool called the White Save Suite — a lightweight, model-agnostic memory system for preserving logic, structure, and context across LLM sessions.

Most of the local and hosted LLM platforms I’ve used (Ollama, LM Studio, ChatGPT, API setups, etc.) struggle with continuity once a session ends. The Save Suite is designed to fix that — not through complex backend work, but through structured, user-facing protocol.

It’s free, modular, and fully documented. You can use it out of the box, or fork it into your own setup.

:gear: Features:

  • Slot-based save system (Slot 1–3 for persistent memory and summaries)

  • Flagging protocol (:green_circle: = fact present, :floppy_disk: = save flag, :white_check_mark: = confirmation)

  • Dual summary system
    – Nested session summary (recursive memory)
    – Live evolving context log

  • Compressed backup format using DSS (Dense Symbolic Schema)

  • Human-readable, copy-paste ready across interfaces

:link: Dataset / Framework Files (MIT License):

:backhand_index_pointing_right: White Save Suite on Hugging Face

Would love feedback from anyone working on:

  • memory persistence

  • agent scaffolding

  • self-instruct pipelines

  • session-level state recovery

  • AI-as-operating-system workflows

Open to collabs, forks, or suggestions. Just don’t lose your memory.

—Kevin