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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 MiroFishOpenRig logo OpenRig
What it doesA simple and universal swarm intelligence engine A persistent team of coding agents
StageNot given Not given
FoundedNot given Not given
Based inNot given Not given
Pricing modelFreemium Open source
PricingStarter: $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%. Not given
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
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
Community votes00
DR (Domain Rating by Ahrefs)56 no change since last check28 no change since last check
Trust Flow (Majestic)56
Citation Flow (Majestic)3036
Referring domains (Majestic)160191

4 details filled in for both companies.

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