D2I-CUHKSZ/MicroWorld
None 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
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
- readme: https://github.com/D2I-CUHKSZ/MicroWorld · fetched 2026-08-28 · 7fc0fdf0e7eb
- homepage: https://d2i-cuhksz.github.io/MicroWorld/ · fetched 2026-08-29 · fd3d419b4815
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| D2I-CUHKSZ/MicroWorld | main | 53 |
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