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

D2I-CUHKSZ/MicroWorld

None observed · 2026-08-28

github.com/D2I-CUHKSZ/MicroWorld · homepage · Python · AGPL-3.0 (copyleft) observed · 2026-08-28

Health v2 · maintenance only

53/100

  • Activity 85
  • Release rhythm 35
  • Longevity 11

Flags: no_releases young

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 161
  • days_rel: n/a
  • days_push: 92
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1039 stars · 91 forks observed · 2026-08-28

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

MicroWorld is a lightweight Python engine that turns multi-modal event materials (documents, images, videos, graph signals) into structured event graphs, agent populations, and runnable multi-agent social simulations. It keeps all intermediate artifacts—graphs, prompts, traces, memory states, and reports—inspectable within the same run.

Use cases

  • simulate how a news story spreads and evolves on social platforms
  • build agent populations from event documents and media
  • run multi-agent LLM discussions over an event graph
  • study opinion dynamics with topology-aware influence
  • reduce token costs in large-scale agent simulations
  • inspect agent memory and action traces after a simulation run
  • convert multimodal event material into knowledge graphs

When to choose

  • you need inspectable, evidence-traceable social simulations rather than just a final report
  • you want multi-modal (text, image, video, graph) ingestion into one simulation pipeline
  • token efficiency matters for large agent populations
  • you are researching information diffusion, hype cycles, or platform dynamics

When to avoid

  • you need a battle-tested production system rather than a research tool
  • you want simple agent-based modeling without LLM or multimodal components
  • you require non-Python environments or real-time interactive simulation

Facets

framework · maturity active

agent-framework machine-learning nlp data-visualization etl llm-inference artificial-intelligence simulation social-media data-science python cross-platform cli social-simulation multi-agent event-graph multimodal-ingestion topology-aware ppr-influence agent-based-modeling llm-agents opinion-dynamics ai-agents natural-language-processing research

2 sources

Member repositories

RepositoryRoleHealth v2
D2I-CUHKSZ/MicroWorldmain53

For agents

markdown · JSON · MCP: product_card(name="D2I-CUHKSZ/MicroWorld")

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