Skan AI vs Morgul Engine
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Skan AI compared with Morgul Engine
| Detail | 
Skan AI | 
Morgul Engine |
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| What it does | Not given
| Self-hosted multi-agent simulation framework for building autonomous agent civilizations
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| Stage | Established
| Not given
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| Founded | 2020
| Not given
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| Based in | US
| Not given
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| Pricing model | Contact for pricing
| Not given
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| Pricing | Not given
| Developer License: $49 USD (one-time) includes Python/FastAPI engine source code, Vite/React observer dashboard, zero-cost mock mode, and single-user research grant. Commercial License: $149 USD (one-time) includes everything in Developer License plus perpetual royalty-free commercial distribution,
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| Key features | - Context Graph of Work - continuously updated model of how work gets done across enterprises
- Blueprint for AI roadmap planning with defensible ROI recommendations
- Process Intelligence to identify bottlenecks and prioritize automation
- Engineering Intelligence for unified view of developer work
- Work-aware agents grounded in real operational context
- Zero-integration capture across legacy and modern systems
- In-environment processing with data staying in customer perimeter
- Agentic Operating Procedures for governed agent execution
- Audit logs and compliance tracking for every agent decision
- Built on 25B+ events from 500+ observed processes
| - Decoupled tick loop with independent tick rate scheduling
- SQLite WAL-mode persistence with concurrent reads and zero lock overhead
- Multi-generational genealogy and asset transaction logs
- Zero-token mock mode for local simulation without API costs
- Python/FastAPI backend with Vite/React observer dashboard
- Circadian cycles and natural mortality mechanics
- Seamless LLM integration with OpenAI, Anthropic, or Ollama
- Docker Compose deployment stack for Commercial License
- Instant source code delivery with digital license key
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| What makes it different | - Observes actual work at scale across enterprise systems rather than relying on assumptions or documentation
- Delivers AI agents that work in production at scale, not just pilots
- Provides measurable ROI and audit trails for AI spending and decisions
- Privacy-first architecture keeps sensitive data within customer environments
| - Turnkey engineering for complex simulations without building the loop from scratch
- Zero recurring platform subscriptions with direct software licensing
- No lock overhead persistence with WAL-mode SQLite for concurrent reads
- Local LLM execution without incurring API costs in mock mode
- Royalty-free commercial distribution rights with Commercial License
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| Free plan | Not given
| Not given
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| Open source | Not given
| Not given
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| Platforms | Not given
| Not given
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| Public API | Not given
| Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 54 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 14 | 0 |
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| Citation Flow (Majestic) | 38 | 0 |
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| Referring domains (Majestic) | 463 | 0 |
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2 details filled in for both companies.
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