MiroFish Key Insights
What is MiroFish?
미로피쉬 is an open-source, multi-agent swarm intelligence prediction engine built to simulate how people, markets, and organisations respond to decisions before those decisions go live. Developed in 2025 and incubated by Shanda Group, it constructs a high-fidelity knowledge graph from your uploaded seed materials such as policy briefs, financial reports, or market documents, then spawns thousands of AI agents with distinct personalities, memories, and behavioural logic to interact socially across simulated platforms.
The result is a structured prediction report complete with risk signals, stakeholder narratives, and confidence scores. For product teams, strategists, and communications professionals, MiroFish replaces slow focus groups and expensive consultants with AI-generated scenario forecasting that runs in minutes, grounding every output in your specific business data rather than generic knowledge.
MiroFish spawns thousands of AI agents, each carrying its own memory, beliefs, and influence profile, and sets them loose across a simulated dual-platform social environment that mirrors real-world dynamics like Twitter and 레딧.
Agents argue, shift opinions, form coalitions, and exhibit emergent herd behaviour. This gives strategists a far more accurate picture of public or stakeholder reaction than any single-model output ever could, capturing polarisation and coalition shifts before they happen in reality.
Rather than working from generic training data, MiroFish reads your uploaded documents, PDFs, Markdown files, or plain text up to 30 MB, and converts the content into a structured knowledge graph. This graph defines the actors, incentives, and constraints that shape agent behaviour during the simulation.
The practical benefit is that every prediction report is grounded in your actual business context, not a statistical average of someone else's 데이터입니다.
Once a simulation is running, users can inject new variables from a top-down control perspective to see how the agent population responds to a changed input. This is the feature that separates MiroFish from 정적 분석 tools. You can stress-test multiple versions of a product launch message, a pricing change announcement, or a policy draft within the same session and compare emergent outcomes across each scenario.
Every completed simulation outputs a fully structured report containing an executive summary, identified risk warnings, stakeholder reaction narratives, and quantified confidence scores. Reports are exportable as clean, board-ready PDFs in one click. This is particularly valuable for communications teams and executives who need to present scenario analysis to a board without rebuilding the data from scratch.
After the simulation concludes, users can directly message individual agents to interrogate their reasoning, test edge cases, or explore minority viewpoints that the headline report may not have surfaced. This is a meaningful capability for 시장 조사원 who want to dig into outlier behaviour or product managers who need to understand the specific segment driving a risk signal.
MiroFish ships a full Docker Compose deployment option with GHCR image hosting for one-click local setup. Organisations with strict data governance requirements can run the entire stack on their own infrastructure, supplying their own LLM API keys and Zep Cloud configuration for memory management. For enterprise teams in regulated industries, this self-hosted path provides full data control that SaaS-only competitors cannot match.
MiroFish Pricing Plans
| 계획 이름 | 비용 | 주요 특징 |
|---|---|---|
| 자체 호스팅 | 무료 | Full AGPL-3.0 open-source, Docker deployment, BYO LLM API keys |
| Basic | $ 14.99 / 월 | 170 credits (17 predictions), 30 MB doc upload, Standard speed, Basic support |
| 찬성 | $ 39.99 / 월 | 450 credits (45 predictions), 30 MB doc upload, High processing speed, Priority support, 50% off annually |
Who is MiroFish Built For?
MiroFish is purpose-built for decision-makers who need to stress-test strategy before committing budget. Product managers testing launch narratives, corporate communications teams rehearsing PR crises, policy analysts modelling public reaction, and financial analysts forecasting market sentiment all sit squarely in its target audience.
If your role involves presenting a decision to a board or a client, MiroFish gives you a data-backed simulation report rather than a slide built on gut instinct.
MiroFish vs Traditional Market Research
The core value proposition is speed and cost efficiency. Traditional focus groups take weeks and cost tens of thousands of dollars. MiroFish generates a full multi-stakeholder analysis in minutes at a fraction of that spend. The tradeoff is that the tool is still early-stage, with no published formal benchmarks.
It produces scenarios and narratives rather than hard probability distributions, which means users should treat outputs as directional intelligence rather than statistically certified forecasts.
장단점
- Open-source and self-hostable.
- Simulates up to 1 million agents.
- Board-ready PDF report export.
- Confidence scores on every report.
- 50개 이상의 언어를 지원합니다.
- Grounded in your own uploaded data.
- High LLM API costs at scale.
- No native CRM or Slack integrations.
- Requires technical setup for self-hosting.
