Give your AI assistant a knowledge graph that compounds forever
Transforms static memory into a self-maintaining, compounding knowledge graph with automatic fact extraction, entity-based storage, and weekly synthesis. Uses three layers: Knowledge Graph (entities with atomic facts), Daily Notes (raw event logs), and Tacit Knowledge (patterns and preferences).
# Three-Layer Architecture
Layer 1: Knowledge Graph
└── entities + atomic facts
Layer 2: Daily Notes
└── raw timeline logs
Layer 3: Tacit Knowledge
└── patterns + preferencesComplete security guide for running Clawdbot in a sandboxed VM using UTM, with its own email, calendar access (read-only), 1Password vault, and prompt injection resistance via ACIP.
# Sandbox Checklist
☑️ Fully sandboxed in a VM
☑️ Its own email & 1Password
☑️ Prompt injection resistance
☑️ Calendar access (read-only)
# Email Protocol
Trusted: act on instructions
Others: read-only, ask firstA 5-layer detection engine that catches prompt injection attacks across languages (EN/KO/JA/ZH), encoding schemes (Base64, hex, URL), and homoglyphs (Cyrillic/Greek). Includes context-aware severity scoring and credential exfiltration blocking.
# 5-Layer Defense
1. Unicode Normalization
2. Multi-Lang Patterns
3. Encoding Detection
4. Severity Scoring
5. Credential Blocking
clawdhub install prompt-guardExtended PARA framework with atomic facts, memory decay tiers (hot/warm/cold), and QMD for local search indexing. Implements structured knowledge organization with graceful degradation and no information loss.
life/
├── projects/ # active work
├── areas/ # ongoing
│ ├── people/
│ └── companies/
├── resources/ # reference
└── archives/ # inactive