MiroFish
Swarm Intelligence Engine That Rehearses The Future With AI Agents
by MiroFish (Incubated by Shanda Group) · Beijing, China · Founded 2025
What is MiroFish?
MiroFish is an open-source, multi-agent swarm intelligence prediction engine that converts real-world seed material — policy drafts, market reports, business plans, or story fragments — into a fully interactive digital simulation.
It spawns thousands of AI agents, each with distinct personalities, long-term memory, and behavioral logic, to model how populations react, amplify, or resist a given scenario.
Built on CAMEL-AI's OASIS simulation framework and backed by China's Shanda Group, MiroFish outputs structured prediction reports with risk signals, narrative paths, and follow-up questions — giving analysts, strategists, and researchers a decision rehearsal sandbox that goes far beyond static forecasting.
MiroFish — Swarm Intelligence Engine That Rehearses The Future With AI Agents Whether you're evaluating MiroFish for your team or comparing it to alternatives in the AI Business Tools category, this in-depth review covers everything: features, pricing, real user reviews, pros and cons, integrations, and direct comparisons against competitors.
Key Features 8
Who Is MiroFish For
Pros & Cons
- Massive Agent Scale (1M)
- Fully Open-Source Codebase
- LLM-Agnostic Architecture
- Backed By Shanda Group
- High LLM API Consumption Costs
- Complex Self-Hosted Setup
- No Native GUI Mobile Support
Frequently Asked Questions
5 questionsMiroFish is architected to handle up to one million simultaneous autonomous agents in a single simulation run. Each agent operates with its own personality profile, long-term memory, and behavioral logic derived from the seed material you provide.
MiroFish supports any LLM that exposes an OpenAI-compatible API. The official recommendation is Alibaba's Qwen-plus model via the Bailian platform, though models like GPT-4o, Claude, and locally hosted alternatives work equally well by updating the environment variables.
Upon receiving seed material, MiroFish runs a five-stage pipeline: it extracts entities and relationships into a knowledge graph via GraphRAG, generates agent personas from that structure, runs dual-platform parallel simulation rounds, updates temporal agent memories after each round, and finally synthesizes a ReportAgent-driven prediction output.
Yes. The Deep Interaction layer lets you chat directly with any individual agent inside the simulated world or interrogate the ReportAgent with follow-up questions — effectively treating the generated scenario as a persistent, queryable environment rather than a one-shot output.
MiroFish accepts PDF, Markdown (.md), and plain text (.txt) files as seed inputs. You can also start with a plain-language typed prompt if you do not have a structured document ready, and add files later to ground the simulation in specific source context.
Who is MiroFish for?
MiroFish is most useful for Policy Analysts And Government Strategists, Marketing And Brand Campaign Teams, Financial Risk Researchers and Business Strategists And Management Consultants.
MiroFish pricing
MiroFish uses a freemium model: a usable free tier with optional paid upgrades. Headline pricing: From $90/year. For the current tier breakdown and any limits, see the pricing section above or check the vendor's pricing page directly — limits and prices change.
What's New
Comprehensive update to the MiroFish backend technical documentation, clarifying deployment configurations and API environment variable setup.
Official cloud-hosted platform at mirofish.my went live with tiered annual subscription plans, a blog, and a full web-based simulation console.
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MiroFish Pricing
From $90/year
- Upload PDF, Markdown, And Text Seed Material
- Ontology And Graph Structure Generation
- Parallel Simulation With Prediction Report Output
- Follow-Up Question Analysis In Same Workspace
- Everything In Starter
- Higher Yearly Simulation Capacity
- Scenario Review And Comparison Across Runs
- Ongoing Report, Risk, And Narrative Analysis
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