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MiroFish

Open-source swarm intelligence engine that simulates a digital world of AI agents to predict outcomes from real-world seed material.

Open source

What is MiroFish?

MiroFish is a multi-agent prediction engine that describes itself as an open-source swarm intelligence engine. You provide seed material, such as a news report, policy draft, financial signal or a story, and describe in natural language what you want to predict. MiroFish extracts entities and relationships, builds a graph, and constructs a parallel digital world where agents with their own personalities, long-term memory and behavior rules interact and evolve. You can inject variables from a god's-eye view to test scenarios, then a ReportAgent writes a prediction report and you can chat with any individual agent in the simulated world. The workflow runs in five steps: graph construction, environment setup, simulation, report generation and deep interaction. Demos on the site include a public opinion prediction for a university and a prediction of the lost ending of Dream of the Red Chamber. The site invites visitors to join a waitlist for launch, and the code is licensed under AGPL-3.0. No pricing is published.

Use cases

  • Predict public opinion reactions
  • Stress-test policy or PR decisions
  • Simulate scenarios from news and reports
  • Forecast outcomes in a digital sandbox
  • Predict story endings creatively
  • Chat with simulated individuals

Who it's for

  • Decision-makers and strategists
  • Researchers and analysts
  • Developers
  • Creative writers

Why use MiroFish

  • You describe the prediction need in natural language and supply seed material, so no modeling code is needed.
  • Rehearsing a decision across many simulated runs lets you see different outcomes before acting.
  • Chatting with individual agents helps you understand why a group reacts the way it does.
  • Open-source code lets you inspect how the simulation and report agent work.
  • It covers both serious forecasting and playful uses such as predicting story endings.

MiroFish features

  • Seed extraction from reports, news and stories
  • GraphRAG graph construction
  • Persona generation with long-term memory
  • Dual-platform parallel simulation
  • Dynamic temporal memory updates
  • Variable injection from a god's-eye view
  • ReportAgent that writes prediction reports
  • Chat with any agent in the simulated world
  • Open-source AGPL-3.0 code

How to get started with MiroFish

  1. Upload seed material such as a report or news article and describe what you want to predict.
  2. MiroFish extracts entities and builds a knowledge graph with individual and collective memory.
  3. It generates personas and sets up the simulation environment.
  4. Agents run in parallel simulations while you inject variables to test scenarios.
  5. Read the ReportAgent's prediction report and chat with agents to dig deeper.

MiroFish limitations

  • Predictions are simulations, not guaranteed forecasts
  • The site offers a waitlist and a static demo console not connected to an LLM
  • AGPL-3.0 license has network-use obligations
  • Self-hosting means you run the infrastructure

MiroFish pricing

MiroFish is open source, so you can use and self-host it for free.

Prices can change and may vary by country or exclude tax. Check the official pricing page.

MiroFish alternatives

The main MiroFish alternatives listed on Debuly are AgentScope, AgentGPT, goose, DeerFlow, AutoGen and QwenPaw. The table compares pricing and platforms; order is A–Z.

MiroFish compared with its alternatives
ToolPricingStarting pricePlatforms
MiroFishOpen source—Web, Self-hosted
AgentGPTFreemium—Web
AgentScopeOpen source—Self-hosted, API, Web
AutoGenOpen source—API, CLI
DeerFlowOpen source—Web, API, Self-hosted
gooseOpen source—macOS, Linux, Windows, CLI
QwenPawOpen source—Web, CLI, Windows, macOS
  1. AgentGPT

    Browser-based tool from Reworkd where you name an autonomous AI agent, give it a goal and watch it plan and run tasks.

  2. AgentScope

    Python agent framework with an SDK, web UI and multi-tenant backend for building, sandboxing and deploying AI agents.

  3. AutoGen

    Microsoft's MIT-licensed Python and .NET framework for multi-agent AI apps, now archived; new projects are pointed to Microsoft Agent Framework.

  4. DeerFlow

    Open-source SuperAgent harness and app that researches, codes and creates using sandboxes, memory, skills and subagents.

  5. goose

    Open source AI agent that runs on your machine as a desktop app, CLI or API and connects to tools through MCP extensions.

  6. QwenPaw

    Open-source personal AI assistant you run locally or in the cloud, with layered memory, skills, multi-agent support and chat channels.

MiroFish FAQ

Is MiroFish open source?

Yes. It describes itself as an open-source swarm intelligence engine, and the code is licensed under AGPL-3.0.

How much does MiroFish cost?

No pricing is published. The website asks visitors to join a waitlist for launch, and the open-source code can be self-hosted.

Is there a free version?

The open-source repository is free to use under AGPL-3.0, but you run the infrastructure and pay for any LLM usage yourself. The site console is a static demo.

Who is MiroFish for?

Decision-makers who want to stress-test policies and PR strategies, analysts forecasting public opinion or markets, and individuals exploring creative predictions.

How accurate are MiroFish predictions?

Outputs are simulations, not guaranteed forecasts. The site says decisions are rehearsed across hundreds of simulations, but results depend on your seed material and setup.

What are alternatives to MiroFish?

Alternatives include CAMEL, AgentScope, AgentGPT and Goose for multi-agent simulation and agent frameworks.

Sources & verification

Facts on this page come from the official sources below, each with the date we read it. Written by Debuly; the vendor did not review this page.

SourceTypeAccessed
mirofish.aiofficial
github.com/666ghj/MiroFishrepository
mirofish.ai/official
mirofish.ai/consoleofficial

Image credits

  • Logo: from mirofish.ai · fetched · Vendor trademark, used only to identify the product; removed on request
  • Cover: none collected yet, so a generated tile is shown.

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