vritti
Enables AI agents to act as graphic designers by generating images and social-ready visuals, with brand DNA memory, genre-aware styles, 35+ platform presets, self-critique, and version control.
README
Vritti
Creative OS MCP — the agent becomes the designer.
A lightweight, no-API-key Creative OS that makes any AI agent a competent graphic designer with brand DNA memory, genre-aware generation, self-critique, and version control.
Features
- Zero API keys — Pollinations.ai (free, no signup) + SVG fallback
- Brand DNA — lock colors/fonts/style once → generate forever
- Genre skills — horror, music, corporate, cinema, minimal, vibrant
- 35+ presets — Instagram, LinkedIn, YouTube, TikTok, album covers, movie posters
- Self-critique — 6-dimension rubric scoring with auto-regenerate
- Version control — every generation tracked (adapted from Rudra Musical Git)
- SVG generation — skill-aware local fallback with rsvg-convert
- Multi-engine — Pollinations → HuggingFace → SVG fallback chain
Install
# No dependencies beyond httpx + pillow (already installed on Termux)
cd ~/vritti
pip install -e .
# Or just use directly
PYTHONPATH=src python3 -m vritti.server
Usage
As MCP Server (stdio JSON-RPC)
# Add to your MCP config
{
"vritti": {
"command": "python3",
"args": ["-m", "vritti.server"],
"env": { "PYTHONPATH": "/path/to/vritti/src" }
}
}
Python API
from vritti.server import generate_image, create_brand, quality_check
# Create brand DNA
create_brand(
name="My Brand",
primary_color="#1a1a2e",
secondary_color="#e94560",
style="dark cinematic",
)
# Generate with brand
result = generate_image(
prompt="Ancient temple at midnight, dramatic lighting",
genre="horror",
brand="My Brand",
preset="movie-poster",
)
# Quality check
quality = quality_check(
image_path=result["path"],
prompt="Ancient temple at midnight",
genre="horror",
brand="My Brand",
)
print(f"Score: {quality['overall_score']}/100")
MCP Tools
| Tool | Description |
|---|---|
generate_image |
Generate image from text prompt (Pollinations/SVG fallback) |
generate_carousel |
Multi-slide carousel for social platforms |
create_brand |
Create brand DNA profile (colors, fonts, style) |
list_skills |
List available genres, formats, principles |
list_engines |
List generation engines and status |
list_presets |
List 35+ platform presets |
list_brands |
List saved brand profiles |
get_version |
Get Vritti version info |
get_platform |
Get detected platform and output paths |
version_history |
Get generation version history |
quality_check |
Evaluate image quality against rubric |
Skills
Genres
horror— deep reds, blacks, monochromaticmusic— genre-dependent (hip-hop bold, lo-fi muted)corporate— blues, whites, conservativecinema— dramatic, high contrast, color gradingminimal— whitespace, single accent, breathing roomvibrant— neon, high saturation, bold gradients
Formats
instagram-square— 1080x1080instagram-carousel— 1080x1350 (4:5)album-cover— 3000x3000 (Spotify/Apple requirement)movie-poster— 2700x4000 (27:40 at 300 DPI)linkedin-carousel— 1080x1350youtube-thumbnail— 1280x720
Architecture
vritti/
├── src/vritti/
│ ├── server.py # MCP server (JSON-RPC over stdio)
│ ├── engines/ # Pollinations + HuggingFace + SVG
│ ├── svg/ # SVG generation + PNG conversion
│ ├── skills/ # Genre/format/principle loaders
│ ├── brand/ # Brand DNA CRUD
│ ├── quality/ # 6-dimension rubric scoring
│ ├── versioning/ # Version control (Rudra-adapted)
│ ├── output/ # 35+ platform presets
│ └── platform.py # Termux/Android/Windows detection
├── skills/ # JSON skill files
│ ├── genres/ # Horror, music, corporate, etc.
│ ├── formats/ # Instagram, album, poster specs
│ └── principles/ # Color theory, typography, composition
└── pyproject.toml
License
MIT — LGCY Studios
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