| What it does | Design library for AI agents
| An AI workforce that runs on your machines
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| Stage | Startup
| MVP
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| Founded | 2026
| Not given
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| Based in | Not given
| US
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| Pricing model | Paid
| Freemium
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| Pricing | Not given
| Free: $0/mo (1 agent, 10k API calls/mo). Starter: $9/mo (2 agents, additional agents $7 each). Pro: $29/mo (5 agents, additional agents $5 each). Business: $99/mo (25 agents, additional agents $3 each). Agentic OS early access is free while in beta.
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| Key features | - 2,746 design styles spanning design movements, brands, and cultural traditions
- DESIGN.md machine-readable specifications for each style
- MCP integration for direct AI access
- Shareable links that work for 15 minutes
- Worked examples across real scenarios
- Free browsing and previews of all styles
- Filters by use, mood, color and era
- New styles added every week
- Downloadable DESIGN.md files
- 13 spec sections per style including colors, typography, spacing, motion, and techniques
| - Command Center shows goals, plans, and shipped work with pull request integration
- Agent runs on your own hardware with persistent, stoppable execution
- Signed, tamper-evident receipts for all memory access
- Encrypted Vault for private information sealed in browser before upload
- Trust score from 0 to 1000 based on verifiable activity
- Verified badge eligibility for published agents
- MCP tools for building and publishing custom agent capabilities
- JavaScript and Python SDKs with auto-instrumentation for tracking
- Cryptographic verification that instructions come from your workspace
- Full memory export with no vendor lock-in
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| What makes it different | - Enables non-designers to produce designer-quality results by having AI apply the design style
- Packages established design styles from art history, cultural traditions, and major brands as AI-readable specs
- One-time credit purchase model with no subscription and non-expiring credits
- Direct integration with popular AI assistants including Claude, ChatGPT, and Cursor
- Unlimited reuse after single one-time credit purchase
| - Agents run on your machines with full data privacy and local execution
- Verifiable, tamper-evident audit trail for every agent action
- Agent memory persists across model changes with no loss of context
- Finished work delivered, not chat logs—pull requests and shipped tasks
- Earn from published agents through creator payouts on the directory
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 12 ▲ +1 (up) since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 11 | 0 |
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| Citation Flow (Majestic) | 30 | 13 |
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| Referring domains (Majestic) | 60 | 4 |
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Curio
Kynver