Concepts

Different Levels of AI Involvement in Software Development

An Architecture to Give AI Persistent Memory for Later Recall

Claude Code / Codex CLI / Gemini CLI and other AI Development Tools

A web framework with zero JS baseline

10 types of preferred attitudes (style/technical selection/design principles) + version chain + confidence decay

Claude Code leaked memory consolidation feature - four stages Orient → Gather → Consolidate → Prune, the naming origin of dream circles

Background track of memvault - persistent organization and forgetting after memory entry

Cascade Recall: slow path along the map, L0/L1/L2 three layers KG

Command Line Interface - a universal interface with zero schema overhead

Cognitive Load Theory - A Design Philosophy for Controlling Cognitive Load: Cutting Redundancy, Removing Complexity, and Calibrating Paradigms

Engineers only point the way, development and testing are all handed over to AI.

Inline preprocessing layer for date/amount/ratio/length/Chinese punctuation standardization - 4 submodules + preprocess_chinese

Efficiency of context window usage and management policies for AI Agents

Token and API Cost Management for AI Tools

The ability to resurface memories across conversations and cycles.

Daily SQL aggregation out of top intents / entities, automatic diary writing

Dream Loops - Daily Batch Memory Integration Pipeline

Fault-tolerance strategy of letting rather than blocking a Handler crash.

Service → SDK → CLI → MCP → Skill Layered Policy

Deterministic security guardrail mechanism for AI coding tools

Different Models of Division of Labor between Humans and AIs

Language Intent + BM25 Keyword Dual Indexing

7/30/90 Day Attention Window + Knowledge Gap Detection

Design Thinking Record from Conceptualization to Realization

Structured Data Markup - Enabling Search Engines to Understand the Semantics of Content

Repeated failures (verdict=INCORRECT, ≥2 failures) are labeled as knowledge gaps.

Extracting entities from conversations and building maps of relationships

Four Levels of Progressive Examination of Knowledge Graphs - Graph Structure, Ground Truth, LLM, Three Stages of Confirmation

The North Star of Memory Systems - Outdated, Noise, and Contradictions Must Retire

Dream Loop Phase 3 - Reading Statistical Snapshots to Generate Insights and Knowledge Gaps with LLM

Model Context Protocol - Standardized protocol for AI tools

Personal Memory Vault - Organize, Noise Reduce, De-Duplicate, and Save AI Conversations

The system is broken down into independent and combinable modules.

KG Side Weight Fusion 5 signals: co-occurrence + session overlap + Adamic-Adar + type affinity + semantic

Event Logging and Monitoring of AI Agent Behavior

Open source software development model

A record of architectural iterations from conceptualization to implementation

Integration of the Write, Background, and Recall tracks into a single system map perspective

Personalized routing over intent classification - attention profile (7/30/90) × historical intent

Blocking masquerade attacks: authority/role/markdown/temporal/base64 five categories - a sister component of InjectionGuard.

Intent Classification: Six Intents to Determine LayerPlan and ScoringConfig

Foundation Abstractions for Function Synthesis: Operator / Pipeline / Observable / Subject Quad (RxJS-inspired)

Memory Read Tracks: Idea Sorting, Evaluation Pipeline, Cascading Recall

Export sanitization, symmetric with InjectionGuard - query side + prefetch cache double filtering

Low confidence extraction into waiting area - auto-approve rules + human-in-loop fallback

Disposable tools - low-frequency operations are authored in the sandbox in real time

Three sequential gates before writing - noise, injection protection, de-duplication

11-stage scoring: time decay, trust, PPR, semantics, de-emphasis

Encapsulate the underlying services as a middle tier of the programmatic interface.

Search Engine Optimization - Search Engine Optimization Techniques

Site Map - Tell the crawler what pages are available

Top level abstraction, toolset packaged as reusable AI skills

L1 Basic → L2 Proficient → L3 Creative - Tracking Skill Proficiency

VoiceAgentRAG-inspired 5-op pipeline predictive prefetching + admission control

Server-Side Rendering - Server-Side Rendering

Amplifying Personal Output Work Patterns with AI

Proactive exploration - cross-community bridge, indirect-strong intermediary, knowledge-gap gap

LLM 3-Way Referee (MERGE / SUPERSEDE / COEXIST) + Low Confidence Upgrade RLM in Old and New Factual Fights

warm→cold→frozen LLM digest compression during degradation (≤400 chars) - downlink only, not uplink

Reduce LLM context token consumption

Memorizing the path to the vault - three gate plus dual-rail writes

memvault self-driven backbone: Write Pipeline, Dream Loop, Read Pipeline, Slow Thinker