Miro Fish: Predicting Anything
MiroFish is an advanced AI prediction engine utilizing multi-agent technology to simulate various scenarios. It allows users to input real-world data and receive detailed predictions in a high-fidelity digital environment. The platform aims to provide a risk-free testing ground for decision-makers and a creative space for individual users to explore imaginative outcomes.
- ▪MiroFish constructs a parallel digital world using seed information from real-world events.
- ▪The platform features thousands of intelligent agents that interact and evolve socially.
- ▪Users can upload data and describe their prediction needs in natural language to receive comprehensive reports.
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Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | GitHub |
| Canonical URL | https://github.com/666ghj/MiroFish |
| Publication time | Tue, 19 May 2026 08:23:43 +0000 |
| Retrieval time | 2026-05-19T08:34:57.460Z |
| Last seen | 2026-05-19T08:34:57.460Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | B-vq6BLNL0Rw |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
简洁通用的群体智能引擎，预测万物 A Simple and Universal Swarm Intelligence Engine, Predicting Anything English | 中文文档 ⚡ Overview MiroFish is a next-generation AI prediction engine powered by multi-agent technology. By extracting seed information from the real world (such as breaking news, policy drafts, or financial signals), it automatically constructs a high-fidelity parallel digital world. Within this space, thousands of intelligent agents with independent personalities, long-term memory, and behavioral logic freely interact and undergo social evolution. You can inject variables dynamically from a "God's-eye view" to precisely deduce future trajectories — rehearse the future in a digital sandbox, and win decisions after countless simulations.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.