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

LingBot-World

Infinite Worlds with Versatile Interactions observed · 2026-08-28

github.com/Robbyant/lingbot-world-v2 · homepage · Python · NOASSERTION (other) observed · 2026-08-28

Health v2 · maintenance only

54/100

  • Activity 92
  • Release rhythm 35
  • Longevity 4

Flags: no_releases young no_license

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: 56
  • days_rel: n/a
  • days_push: 50
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

1560 stars · 111 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

LingBot-World is an open-source world model that generates high-fidelity, interactive simulated environments from video generation, supporting real-time interaction at 16 fps with sub-second latency and minute-level contextual consistency. This original repository is no longer actively maintained in favor of LingBot-World-Infinity (lingbot-world-v2), which adds 720p/60fps real-time generation and multi-user collaborative world steering.

Use cases

  • generate interactive worlds from an image
  • real-time playable generative world simulation
  • video generation with long-term consistency
  • build environments for robot learning
  • create game-like worlds with AI
  • interactive content creation from a single image

When to choose

  • you need an open-source world model for research in gaming, content creation, or robot learning
  • you want real-time interactive world generation with permissive Apache-2.0 licensing
  • you need long-horizon consistency in generated environments

When to avoid

  • you want the latest features - use the actively maintained lingbot-world-v2 (LingBot-World-Infinity) repository instead
  • you lack GPU hardware for large video generation model inference
  • you need a production-ready end-user application rather than model code and weights

Facets

library · maturity maintenance

video-processing machine-learning deep-learning simulation graphics artificial-intelligence simulation robotics python world-model video-generation image-to-video interactive-worlds generative-ai aigc real-time-inference embodied-ai game-development video gpu linux

3 sources

Member repositories

RepositoryRoleHealth v2
Robbyant/lingbot-world-v2main54
Robbyant/lingbot-worldmirror56

For agents

markdown · JSON · MCP: product_card(name="Robbyant/lingbot-world-v2")

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