MiroFish vs OpenRig
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 OpenRig
| Detail | M
MiroFish |
OpenRig |
| What it does | A simple and universal swarm intelligence engine
| A persistent team of coding agents
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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
| Open source
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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%.
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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
| - Start teams with one command and manage agents across multiple machines
- Mix Claude Code, Codex and Pi agents in one team
- Agents delegate and coordinate work with named task assignments and queue ownership
- Agents message each other directly and read each other's screens
- Restore agent conversations after restart or reboot from snapshots
- Choose different models and reasoning effort per agent
- Bring custom harnesses and integrate with MCP servers and Claude Desktop
- Start Docker Compose services alongside agent teams
- Control message filtering with typing guards and chat broadcasts
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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
| - One conversation interface with a lead agent coordinating specialists behind the scenes
- Mix multiple coding models and harnesses in one managed team
- Run entirely self-hosted on your own machine with no external coordination
- Open source with Apache 2.0 license and extensible harness contracts
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| Community votes | 0 | 0 |
| DR (Domain Rating by Ahrefs) | 56 ● no change since last check | 28 ● no change since last check |
| Trust Flow (Majestic) | 5 | 6 |
| Citation Flow (Majestic) | 30 | 36 |
| Referring domains (Majestic) | 160 | 191 |
4 details filled in for both companies.
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