Ross ROSS = Recommend OSS · open-source software intelligence for agents

nikmcfly/MiroFish-Offline

Offline multi-agent simulation & prediction engine. English fork of MiroFish with Neo4j + Ollama local stack. observed · 2026-08-28

github.com/nikmcfly/MiroFish-Offline · homepage · Python · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

48/100

  • Activity 73
  • Release rhythm 35
  • Longevity 12

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-03. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 172
  • days_rel: n/a
  • days_push: 162
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2490 stars · 652 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MiroFish-Offline is a fully local, English-language fork of MiroFish, a multi-agent swarm intelligence engine that simulates public opinion and social media reactions to documents using hundreds of AI-generated agent personas. It runs entirely on your own hardware using Ollama for LLM inference and Neo4j for knowledge-graph memory, with no cloud API dependencies.

Use cases

  • simulate public reaction to a press release before publishing
  • predict market sentiment for a financial report
  • model how a policy draft spreads on social media
  • run opinion dynamics simulations fully offline
  • chat with simulated agents to understand why they posted
  • build a knowledge graph of entities and relationships from a document
  • study topic propagation and influence dynamics in agent swarms

When to choose

  • you need privacy-preserving, fully local simulation with no cloud API keys
  • you want to forecast public or market sentiment on your own hardware
  • you prefer an English UI over the original Chinese-only MiroFish
  • you want Neo4j-backed agent memory and post-simulation agent interviews

When to avoid

  • you lack the hardware to run local LLMs via Ollama
  • you need a lightweight library to embed in another app rather than a full application
  • you need cloud-scale LLM quality or hosted graph memory
  • you cannot accept AGPL-3.0 licensing terms

Facets

application · maturity active

agent-framework llm-inference rag simulation chat-interface data-visualization artificial-intelligence large-language-models simulation social-media self-hosted self-hosted python multi-agent-simulation ollama neo4j knowledge-graph swarm-intelligence public-opinion-simulation offline-ai sentiment-analysis social-dynamics ai-agents docker nodejs web-server

1 source

Member repositories

RepositoryRoleHealth v2
nikmcfly/MiroFish-Offlinemain48

For agents

markdown · JSON · MCP: product_card(name="nikmcfly/MiroFish-Offline")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem