SuperAPI AI Directory

MiroShark

MiroShark is a Universal Swarm Intelligence Engine capable of simulating various scenarios. According to the information, its positioning is to "simulate anything," with each simulation costing about $1, the first results produced in about 10 minutes, and including 100+ grounded agents. These agents are not simple role-playing, but are built on five layers of real context, can be used across platforms, involve X, Reddit, and markets, and cite real posts and trades. The project supports English, Chinese, Japanese, and French interfaces. MiroShark was created by Aaron Elijah Mars, uses the AGPL-3.0 license, is open source on GitHub, and welcomes community contributions.

Open website

About this tool

Purpose

MiroShark is a Universal Swarm Intelligence Engine, officially positioned as "Simulate anything." It is aimed at users who need to quickly conduct multi-agent scenario simulations, and is said to cost about $1 per simulation, with the first results produced within 10 minutes.

Main Capabilities

  • Grounded agents: The official description emphasizes that this is not role-playing; each agent is built on five layers of real context.
  • Scale: A single simulation includes 100+ grounded agents.
  • Cross-platform data sources: It involves platforms such as X, Reddit, and markets.
  • Citable: Simulation results cite real posts & trades.
  • Multilingual: Supports English, Chinese, Japanese, and French.
  • Feature-rich: The official description says it includes 40+ features, and provides a complete list and in-depth explanations (the specific feature contents are not expanded in the information).

How to Use

The information does not provide specific installation commands, code examples, or operating steps, and only states that the project is hosted on GitHub (https://github.com/MiroShark/MiroShark),并附有贡献指南与 X platform contact information. The actual deployment and operation methods are not provided for now.

Applicable Scenarios

Based on the information, it can be inferred that it is suitable for scenarios requiring multi-agent swarm simulation, especially situations where one hopes to combine social platforms (such as X, Reddit) with market data for simulation analysis. However, the information does not list specific application cases or industry scenarios, so more detailed uses are not provided for now.

Limitations and Notes

  • Regarding cost, the official statement is "$1" ($1 per simulation), but details such as the specific billing method, whether paid authorization is required, and free quotas are not provided for now.
  • Regarding "10 minutes," this is the time to produce the "first results"; whether it changes with scale is not provided for now.
  • The project uses the AGPL-3.0 license, and provides a crypto wallet address to support the project.
  • The project author is Aaron Elijah Mars, who is also the founder of Aeon and MiroShark, with the X account @aaronjmars.
  • Information such as specific installation, configuration, API, and availability requirements is not provided in the information for now.