MiroFish vs Super Agent
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
MiroFish compared with Super Agent
| Detail | M
MiroFish | 
Super Agent |
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| What it does | A simple and universal swarm intelligence engine
| One always-on agent for all your computers
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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 | 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%.
| Free: manage worker agents on your own computers. Pro: $14.90/mo adds Super-Agent personal assistant that runs 24/7.
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| Key features | - 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
| - Connect multiple computers with one command and manage all bots from a single workspace
- Run multiple tasks simultaneously across different projects
- Send messages mid-task without waiting for one job to finish
- Approve or reject edits and commands remotely from any browser or phone
- Access the same workspace from any device—laptop, phone or tablet
- Stop any task instantly from any device
- Code stays on your own computers, only conversations sync online
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| What makes it different | - 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
| - Runs AI agents on your own machines, not in the cloud—code never leaves your computer
- One always-on workspace for multiple AI workers and projects instead of juggling separate sessions
- Works behind firewalls and home routers without opening ports or changing network settings
- Connector is open source under MIT license so you can audit the code before installing
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | Not checked yet ● no change since last check |
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| Trust Flow (Majestic) | 5 | 0 |
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| Citation Flow (Majestic) | 30 | 10 |
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| Referring domains (Majestic) | 160 | 2 |
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5 details filled in for both companies.
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