IKKF vs MiroFish
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
IKKF compared with MiroFish
| Detail | 
IKKF | M
MiroFish |
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| What it does | Knowledge Engine that distills experience into sovereign, reusable skills for AI agents
| A simple and universal swarm intelligence engine
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| Stage | Not given
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Freemium
| Freemium
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| Pricing | IKKF CLI: free forever, no license required. IKKF for macOS: $9.99 one-off purchase.
| Starter: $7.50/month (monthly) or $9/month (annual); Pro: $15.83/month (monthly) or $19/month (annual); Premium: $40.83/month (monthly) or $49/month (annual). Annual plans save 17%.
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| Key features | - Seven-phase execution protocol
- Synthesis Gate ensures expertise is distilled before task completion
- Universal AI provider support
- Local-first operation with no cloud or telemetry
- Work decomposed into 10-15 minute chunks
- Plain-text skill files you can read and audit
- Real deliverables written to your workspace
- Skill library and synthesis
- Two execution modes: Light and Full
- Resume and restore interrupted tasks
| - Upload PDF, Markdown, and text documents to seed simulations
- Convert source material into ontology and graph structure
- Run parallel simulations with up to 1 million agents per run
- Generate prediction reports with key risks and confidence signals
- Deep interaction through ReportAgent or direct character interviews
- Dual-surface simulation across Twitter and Reddit style channels
- Follow-up questions in the same workspace for continued analysis
- Build executable scenarios for public opinion, market, policy, and narrative use cases
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| What makes it different | - Ownership of all skills—your expertise stays yours, not locked in opaque third-party systems
- Synthesis Gate forces real learning and skill building alongside task completion
- Free CLI forever with no license, key, or machine-lock
- Local-first privacy—no cloud, no telemetry, full control
- Works with any AI agent—one protocol, instant provider swaps
| - Inspectable AI forecasts treated as exploratory hypotheses before operational decisions
- Review simulations before upload with the Forecast Explorer gallery
- Graph-native simulation that exposes actor incentives, narrative spread, and reaction chains
- Templates and guides for recurring scenario types like crises and product launches
- Keeps judgment with humans on scenario boundaries and high-stakes operating calls
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 4 ▼ −1 (down) since last check | 56 ● no change since last check |
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| Trust Flow (Majestic) | 4 | 5 |
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| Citation Flow (Majestic) | 18 | 30 |
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| Referring domains (Majestic) | 7 | 160 |
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5 details filled in for both companies.
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