Building better souls.

Text is now code. Prompts, soul files, lettersβ€”they execute. Your AI runs them and changes.

We call these Sparks

Explore the Library

Sparks

Copy-paste upgrades for your AI assistant. Each Spark is a complete system you can install in minutes.

Security

Safe, Sandboxed AI Setup

Complete 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.

@BillDAJan 31
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# Sandbox Checklist
β˜‘οΈ Fully sandboxed in a VM
β˜‘οΈ Its own email & 1Password
β˜‘οΈ Prompt injection resistance
β˜‘οΈ Calendar access (read-only)

# Email Protocol
Trusted: act on instructions
Others: read-only, ask first
Security

Prompt Guard: 5-Layer Injection Defense

A 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.

@simonkim_nftJan 29
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# 5-Layer Defense
1. Unicode Normalization
2. Multi-Lang Patterns
3. Encoding Detection
4. Severity Scoring
5. Credential Blocking

clawdhub install prompt-guard
Memory

Agentic PKM with PARA and QMD

Extended 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.

@nateliasonJan 31
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life/
β”œβ”€β”€ projects/    # active work
β”œβ”€β”€ areas/       # ongoing
β”‚   β”œβ”€β”€ people/
β”‚   └── companies/
β”œβ”€β”€ resources/   # reference
└── archives/    # inactive
Memory

The Three-Layer Memory System

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).

@spacepixelJan 27
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# Three-Layer Architecture

Layer 1: Knowledge Graph
└── entities + atomic facts

Layer 2: Daily Notes
└── raw timeline logs

Layer 3: Tacit Knowledge
└── patterns + preferences