📁 Subsystem Deep Dive

services/autoDream/

📁 services/autoDream/ 📄 7 files

Tutorial: autoDream

Auto-Dream is a background system designed to automatically consolidate an AI's recent conversation transcripts into durable memory files. It operates like a night watchman, using strict Gating Logic to ensure it only "dreams" when enough time has passed and sufficient new data exists. When triggered, it spins up a sub-agent to review, organize, and prune memory files without interrupting the user's active workflow.

flowchart TD A0["Auto-Dream Orchestrator"] A1["Gating Logic"] A2["Consolidation Lock & Timestamp"] A3["Dream Prompt Strategy"] A4["Progress Monitoring"] A5["Session Discovery"] A0 -->|"Evaluates triggers via"| A1 A0 -->|"Generates instructions using"| A3 A0 -->|"Observes execution via"| A4 A1 -->|"Checks last run time from"| A2 A1 -->|"Validates work volume with"| A5 A0 -->|"Acquires/Updates state"| A2

Chapters

  1. Auto-Dream Orchestrator
  2. Gating Logic
  3. Session Discovery
  4. Consolidation Lock & Timestamp
  5. Dream Prompt Strategy
  6. Progress Monitoring

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Files in this section

01_auto_dream_orchestrator.md
Chapter 1: Auto-Dream Orchestrator
Welcome to the Auto-Dream project! If you are building an AI system that needs to "remember" things long-term, you face…
02_gating_logic.md
Chapter 2: Gating Logic
In the previous chapter, Auto-Dream Orchestrator, we introduced the "Night Watchman"—a background process that organize…
03_session_discovery.md
Chapter 3: Session Discovery
In the previous chapter, Gating Logic, we established the rules for when the AI should "dream." One of the most importa…
04_consolidation_lock___timestamp.md
Chapter 4: Consolidation Lock & Timestamp
In the previous chapter, Session Discovery, we learned how the system identifies which conversation files are new.
05_dream_prompt_strategy.md
Chapter 5: Dream Prompt Strategy
In the previous chapter, Consolidation Lock & Timestamp, we secured the room. We ensured that only one "Night Watchman"…
06_progress_monitoring.md
Chapter 6: Progress Monitoring
In the previous chapter, Dream Prompt Strategy, we learned how to craft the perfect set of instructions for our AI. We…