Morgul Engine vs Attunefy
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Morgul Engine compared with Attunefy
| Detail | 
Morgul Engine | 
Attunefy |
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| What it does | Self-hosted multi-agent simulation framework for building autonomous agent civilizations
| AI attention layer that learns what matters to you and surfaces priorities before they slip
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| Stage | Not given
| MVP
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
| Free
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| Pricing | 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,
| Not given
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| Key features | - 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
| - Connects to Gmail, Google Calendar, Slack and Google Meet
- Shadow mode analyzes 30 days of past communications
- Resolves people across channels into canonical contacts
- Captures meeting decisions with reasoning and participants
- Joins Google Meet as visible participant or captures from device
- AI assistant Thara searches professional context and answers questions
- Earns autonomy progressively through repeated approvals
- Coverage honesty alerts when data sources fall behind
- Categorizes attention into Needs You, Might Need You and Watching tiers
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| What makes it different | - 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
| - Never claims certainty, only surfaces what may matter based on evidence
- Learns around the way you work across different roles and professions
- Maintains decision memory with reasoning and what changed
- Requires explicit approval before acting on consequential items
- Operates with read-only access and full user control over what is remembered
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | Not checked yet ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 0 | 0 |
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| Citation Flow (Majestic) | 0 | 13 |
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| Referring domains (Majestic) | 0 | 1 |
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3 details filled in for both companies.
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