# KERNL BRANDING GUIDE

**Tagline:** "The Core Intelligence Layer for AI Systems"

---

## 🎨 LOGO FILES

### Available Versions

**Light Theme (Default):**
- `kernl-logo-light.png` - Full logo with transparent background
- Use on: Light backgrounds, documentation, websites

**Dark Theme:**
- `kernl-logo-dark.png` - Full logo optimized for dark backgrounds
- Use on: Dark mode UIs, presentations, dark-themed docs

**Icon Version:**
- `kernl-icon-light.png` - Simplified icon for small sizes
- Use on: Favicons, app icons, social media avatars

---

## 🎨 LOGO DESIGN

### Visual Elements

**Shape:** Hexagon
- Represents structure, stability, and foundation
- Geometric precision suggests technical excellence
- "Core" metaphor - solid, central, essential

**Colors:**
- **Border Gradient:** Cyan (#00D4FF) to Purple (#9D4EDD)
  - Modern, tech-forward
  - AI/ML industry standard palette
  - Suggests intelligence, innovation
  
- **Letter "K":** Dark slate (#2D3748) on light, white on dark
  - Professional, readable
  - Technical sophistication
  
- **Accent Dot:** Red (#E63946) with white ring
  - The "kernel" - the core
  - Target/precision metaphor
  - Adds warmth to cool palette

### Design Philosophy

The logo embodies KERNL's mission:
- **Hexagon = Structure** - The foundational layer
- **Gradient = Universal** - Works across all platforms
- **K = KERNL** - Direct, memorable
- **Red dot = Core** - The essential intelligence layer

---

## 📐 USAGE GUIDELINES

### Spacing
- Minimum clear space: 10% of logo width on all sides
- Never crop the hexagon border
- Keep the red accent dot visible

### Minimum Sizes
- **Full logo:** 120px width minimum
- **Icon version:** 32px × 32px minimum
- Below 32px: Use solid color version

### DO:
✅ Use on light or dark backgrounds
✅ Maintain aspect ratio
✅ Use sufficient contrast
✅ Scale proportionally

### DON'T:
❌ Stretch or distort
❌ Change colors
❌ Remove the red dot
❌ Add drop shadows or effects
❌ Place on busy backgrounds

---

## 🎯 BRAND VOICE

### Tone
- **Professional** - Enterprise-ready, serious about quality
- **Technical** - For developers, AI engineers, power users
- **Universal** - Platform-agnostic, not Claude-specific
- **Confident** - "The core intelligence layer"

### Key Messages
1. **Universal Intelligence** - Works across all AI platforms
2. **Foundation Layer** - The core you build on
3. **Persistent Memory** - Never forgets, always learns
4. **Professional Tool** - Enterprise-grade reliability

### Avoid
- Consumer/casual language
- Platform-specific references
- Hype or marketing buzzwords
- Overpromising capabilities

---

## 📝 TAGLINE USAGE

**Primary:** "The Core Intelligence Layer for AI Systems"

**Variations:**
- "Universal Intelligence for AI Platforms"
- "The Memory Layer AI Needs"
- "One Core. All Platforms."

**Context:**
- Website hero: Primary tagline
- GitHub README: Primary tagline
- Package descriptions: "Universal Intelligence for AI Platforms"
- Social media: "One Core. All Platforms."

---

## 🌐 PLATFORM-SPECIFIC BRANDING

### Claude (Anthropic)
Package: `@kernl/mcp`
Message: "Persistent intelligence for Claude Desktop"

### ChatGPT (OpenAI)
Package: `@kernl/openai`
Message: "Conversation memory for ChatGPT"

### Gemini (Google)
Package: `@kernl/gemini`
Message: "Context layer for Google AI"

### Grok (xAI)
Package: `@kernl/xai`
Message: "Intelligence foundation for Grok"

### DeepSeek
Package: `@kernl/deepseek`
Message: "Memory persistence for DeepSeek"

### Ollama (Local)
Package: `@kernl/ollama`
Message: "Local intelligence layer"

---

## 📦 PACKAGE NAMING

**Pattern:** `@kernl/{platform}`

```
@kernl/mcp       # Claude
@kernl/openai    # ChatGPT
@kernl/gemini    # Google Gemini
@kernl/xai       # Grok
@kernl/deepseek  # DeepSeek
@kernl/ollama    # Local/Open Source
@kernl/core      # Universal/shared
```

---

## 🎨 COLOR PALETTE

### Primary Colors
```
Cyan:       #00D4FF  (rgb: 0, 212, 255)
Purple:     #9D4EDD  (rgb: 157, 78, 221)
Red Accent: #E63946  (rgb: 230, 57, 70)
```

### Neutral Colors
```
Dark Slate: #2D3748  (rgb: 45, 55, 72)
Light Gray: #F7FAFC  (rgb: 247, 250, 252)
White:      #FFFFFF  (rgb: 255, 255, 255)
```

### Usage
- **Cyan → Purple gradient:** Borders, accents, highlights
- **Red:** Call-to-action, important elements, the "core" dot
- **Dark Slate:** Body text on light backgrounds
- **White:** Text on dark backgrounds

---

## 📄 TYPOGRAPHY

### Recommended Fonts

**Headers/Logos:**
- Inter (sans-serif)
- SF Pro Display
- System font stack

**Body Text:**
- Inter (regular/medium)
- SF Pro Text
- System font stack

**Code:**
- JetBrains Mono
- Fira Code
- Consolas

---

## 🚀 LAUNCH MESSAGING

### Announcement Copy

**Short Version (Twitter/X):**
> Introducing KERNL - The core intelligence layer for AI systems. Persistent memory, cross-project learning, and universal platform support. Starting with Claude, expanding to ChatGPT, Gemini, and more. 🚀

**Medium Version (LinkedIn):**
> We're building KERNL - a universal intelligence layer that gives AI systems persistent memory, context across sessions, and the ability to learn from every interaction. Currently supporting Claude via MCP, with ChatGPT and Gemini coming in Q1-Q2 2026. This is the foundation AI platforms need.

**Long Version (Blog Post):**
> KERNL is the core intelligence layer that AI systems have been missing. While LLMs are incredibly powerful, they lose context between sessions, can't transfer learning across projects, and crash on long operations. KERNL solves all three problems with a universal architecture that works across Claude, ChatGPT, Gemini, Grok, and more. Starting with our Claude implementation (available now), we're building the persistent memory and intelligence foundation that turns AI assistants into genuine long-term collaborators.

---

## 📞 CONTACT & SUPPORT

**Website:** [TBD]
**GitHub:** github.com/yourusername/kernl-mcp
**Discord:** [TBD]
**Email:** [TBD]

---

**Version:** 1.0.0  
**Last Updated:** January 7, 2026  
**Status:** Official branding established