# allenai/ai2thor

An open-source platform for Visual AI.

Repository: https://github.com/allenai/ai2thor
Canonical: https://ross.abutalabs.com/products/ai2thor
Homepage: http://ai2thor.allenai.org
Language: C#
License: Apache-2.0
License Family: permissive
Topics: artificial-intelligence, computer-vision, visual-ai, interaction, physics-engine
Last push: 2025-11-04T06:09:29+00:00

## Health v2 (maintenance only)
Score: 45/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 50, release rhythm 8, longevity 100
- inputs: {"age_days": 3242, "days_push": 302, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1785, forks 298 (observed 2026-08-28T04:05:35.979561+00:00)

## What it is
AI2-THOR is an open-source platform from the Allen Institute for AI providing near photo-realistic, interactable 3D environments (iTHOR, ManipulaTHOR, RoboTHOR) for embodied AI and visual reasoning research. It is built on Unity with a Python controller API, supporting physics-based object interaction, multiple agents, and headless cloud rendering.

## Use cases
- train embodied AI agents in simulated 3D indoor environments
- research visual navigation and object manipulation with a robotic arm
- run sim2real experiments matching simulated and physical apartments
- generate synthetic images and metadata for computer vision models
- simulate multi-agent interaction in kitchens, bedrooms, and living rooms
- run headless rendering on GPU compute clusters for RL training

## When to choose
- you need photo-realistic, physics-based interactable 3D scenes for embodied AI research
- you want a Python API to control agents and query object states in simulation
- you need sim2real counterparts or multi-agent support out of the box

## When to avoid
- you need lightweight 2D or tabular RL environments like Gym
- you require real-time game production rather than research simulation
- you cannot run Unity-based rendering or lack GPU resources

## Facets
- artifact type: library
- maturity: active
- function: simulation, computer-vision, machine-learning, reinforcement-learning, robotics, game-engine
- domain: artificial-intelligence, computer-vision, robotics, simulation, reinforcement-learning
- platform: python, windows, cloud
- tags: embodied-ai, unity3d, sim2real, 3d-environments, visual-ai, physics-simulation, research, linux, macos

## Member repositories
- allenai/ai2thor (main) score 45

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:35.979561+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T03:24:11.751991+00:00, confidence not recorded.
  - readme: https://github.com/allenai/ai2thor (fetched 2026-08-28T04:05:35.979561+00:00, sha 7229aa15516a)
  - homepage: http://ai2thor.allenai.org (fetched 2026-08-29T11:02:32.815226+00:00, sha 8899fe347112)
  - site_page: https://ai2thor.allenai.org/ithor/documentation (fetched 2026-08-29T11:02:32.824459+00:00, sha 5435d0d29ff2)
- Data as of 2026-08-30T08:39:29.467469+00:00.