AI Habitat is an open-source simulation platform from Meta AI Research for embodied AI research. It provides high-performance 3D simulated environments for training and evaluating AI agents on navigation, manipulation, and human-robot collaboration tasks. Habitat-Sim delivers 10,000+ FPS simulation and Habitat-Lab provides a modular library for defining tasks, training agents, and running benchmarks.
AI Habitat publishes 1 API on the APIs.io network. Tagged areas include Artificial Intelligence, Simulation, Embodied AI, Robotics, and Computer Vision.
The AI Habitat catalog on APIs.io includes 1 JSON-LD context and 1 Spectral governance ruleset.
AI Habitat’s developer surface includes documentation, developer portal, tooling, changelog, CLI, sandbox, API reference, and 28 more developer resources.
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AI Habitat simulation framework for embodied AI research, including Habitat-Sim (high-performance 3D simulator) and Habitat-Lab (modular training library). Supports navigation, ...
aid: ai-habitat
url: https://raw.githubusercontent.com/api-evangelist/ai-habitat/refs/heads/main/apis.yml
apis:
- aid: ai-habitat:ai-habitat
name: AI Habitat
tags:
- Embodied AI
- Simulation
- Robotics
- Python
- Computer Vision
- Reinforcement Learning
tags_raw:
- Embodied AI
- Simulation
- Robotics
- Python
- Computer Vision
- Reinforcement Learning
- Computer-Vision
humanURL: https://aihabitat.org/
properties:
- url: https://aihabitat.org/
type: Documentation
- url: https://aihabitat.org/docs/
type: Documentation
title: API Documentation
- url: https://github.com/facebookresearch/habitat-sim
type: GitHubRepository
title: Habitat-Sim GitHub
- url: https://github.com/facebookresearch/habitat-lab
type: GitHubRepository
title: Habitat-Lab GitHub
- url: https://pypi.org/project/habitat-sim/
type: SDKs
title: Habitat-Sim Python Package
- url: https://pypi.org/project/habitat-lab/
type: SDKs
title: Habitat-Lab Python Package
description: AI Habitat simulation framework for embodied AI research, including Habitat-Sim (high-performance 3D simulator)
and Habitat-Lab (modular training library). Supports navigation, manipulation, and human-robot collaboration tasks across
photorealistic 3D indoor environments.
name: AI Habitat
tags:
- Artificial Intelligence
- Simulation
- Embodied AI
- Robotics
- Computer Vision
- Reinforcement Learning
- Machine Learning
- Open Source
- Research
tags_raw:
- Artificial Intelligence
- Simulation
- Embodied AI
- Robotics
- Computer Vision
- Reinforcement Learning
- Machine Learning
- Open Source
- Research
- Computer-Vision
- Machine-Learning
- Open-Source
kind: contract
deliveryModel:
model: saas
license_evidence:
not_product:
- facebookresearch/habitat-lab
- facebookresearch/habitat-sim
open_source: unknown
commercial: true
callable_host: false
label: Hosted service · you call their endpoint
confidence: low
source:
- pricing
- repository-not-product
generated: '2026-09-25'
method: derived
accessModel:
pricing: freemium
onboarding: unknown
trial: false
try_now: false
public: false
label: Freemium
confidence: medium
source:
- plans
generated: '2026-07-22'
method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/ai-habitat.png
access: 3rd-Party
created: '2025-02-17'
modified: '2026-08-30'
position: Consuming
description: AI Habitat is an open-source simulation platform from Meta AI Research for embodied AI research. It provides
high-performance 3D simulated environments for training and evaluating AI agents on navigation, manipulation, and human-robot
collaboration tasks. Habitat-Sim delivers 10,000+ FPS simulation and Habitat-Lab provides a modular library for defining
tasks, training agents, and running benchmarks.
maintainers:
- FN: Kin Lane
email: kin@apievangelist.com
specificationVersion: '0.23'
common:
- type: Website
url: https://aihabitat.org/
- type: DomainSecurity
url: security/ai-habitat-domain-security.yml
- name: AI Habitat GitHub Organization
url: https://github.com/facebookresearch
type: GitHubOrganization
description: Meta AI Research GitHub organization hosting Habitat repositories.
- name: Habitat-Sim Repository
url: https://github.com/facebookresearch/habitat-sim
type: GitHubRepository
description: High-performance 3D simulator for embodied AI research (C++/Python).
- name: Habitat-Lab Repository
url: https://github.com/facebookresearch/habitat-lab
type: GitHubRepository
description: Modular library for embodied AI task definition, training, and benchmarking.
- name: Habitat Documentation
url: https://aihabitat.org/docs/
type: Documentation
description: Official documentation for AI Habitat platform.
- name: Habitat Challenge
url: https://aihabitat.org/challenge/
type: Portal
description: Annual Habitat Challenge competition on EvalAI for embodied AI navigation.
- name: Habitat Discussions
url: https://github.com/facebookresearch/habitat-lab/discussions
type: Forums
description: Community forum for Habitat questions and support.
- name: Habitat HuggingFace
url: https://huggingface.co/ai-habitat
type: Portal
description: AI Habitat datasets and models on HuggingFace.
- name: Habitat-Sim PyPI
url: https://pypi.org/project/habitat-sim/
type: SDKs
title: Python Package (habitat-sim)
description: Install Habitat-Sim via pip or conda.
- name: Habitat-Lab PyPI
url: https://pypi.org/project/habitat-lab/
type: SDKs
title: Python Package (habitat-lab)
description: Install Habitat-Lab via pip.
- name: PARTNR Planner
url: https://github.com/facebookresearch/partnr-planner
type: Tools
description: PARTNR benchmark for human-robot collaboration using Large Planning Models with Habitat.
- type: Features
data:
- name: High-Performance Simulation
description: Habitat-Sim achieves 10,000+ FPS on a single GPU and 8,000+ steps/second for robot simulation, enabling fast
RL training.
- name: Photorealistic 3D Environments
description: Supports HM3D, MatterPort3D, Gibson, Replica, and HSSD datasets with high visual fidelity.
- name: Physics-Enabled Simulation
description: Bullet physics engine integration for realistic object interactions and manipulation tasks.
- name: Robot Support via URDF
description: Configurable robot models including Fetch mobile manipulator, Franka arm, and AlienGo quadruped.
- name: Configurable Sensors
description: RGB, depth, semantic, and egomotion sensors for varied agent perception configurations.
- name: Modular Task Framework
description: Habitat-Lab provides modular task definition, agent configuration, and benchmarking tools.
- name: Imitation and Reinforcement Learning
description: Built-in support for IL and RL training pipelines for embodied AI agents.
- name: Human-Robot Collaboration
description: Habitat 3.0 co-habitat supports humans, avatars, and robots sharing simulated environments.
- name: Parallelizable Across Clusters
description: Designed for large-scale distributed training across GPU clusters.
- name: Annual Benchmark Challenge
description: Habitat Challenge on EvalAI provides standardized evaluation of navigation and manipulation agents.
- type: UseCases
data:
- name: Embodied Navigation Research
description: Train and evaluate AI agents on point-goal, object-goal, and image-goal navigation tasks in 3D environments.
- name: Robot Manipulation Research
description: Develop manipulation skills for pick-and-place, rearrangement, and tool use with simulated robot arms.
- name: Human-Robot Collaboration
description: Research human-robot teaming for household tasks using the PARTNR benchmark and Habitat 3.0.
- name: Reinforcement Learning Training
description: Fast simulation enables RL agents to explore millions of environment steps for policy learning.
- name: Dataset Creation and Annotation
description: Generate synthetic data, annotations, and demonstrations for embodied AI training datasets.
- type: Integrations
data:
- name: PyTorch
description: Deep learning framework integration for neural network training and inference.
- name: HuggingFace
description: Datasets and models available on HuggingFace Hub at ai-habitat organization.
- name: EvalAI
description: Habitat Challenge evaluation hosted on EvalAI platform for standardized benchmarking.
- name: Conda / conda-forge
description: Conda package distribution via conda-forge and aihabitat channels.
- name: Bullet Physics
description: Bullet physics engine for realistic rigid-body simulation and manipulation.
- name: ROS
description: Robot Operating System integration for sim-to-real transfer research.
- name: AI Habitat Packages and SDKs
url: packages/ai-habitat-packages.yml
type: Packages
description: PyPI, conda and source distributions for habitat-sim, habitat-lab and habitat-baselines, with versions and
publish dates.
- name: AI Habitat SDK Inventory
url: packages/ai-habitat-packages.yml
type: SDKs
description: First-party Python/C++ client distributions. The product is the package; there is no hosted API.
- name: AI Habitat llms.txt
url: llms/ai-habitat-llms.txt
type: LLMsTxt
description: Agent-readable orientation to AI Habitat, generated from this profile and its artifacts.
- name: AI Habitat Lifecycle
url: lifecycle/ai-habitat-lifecycle.yml
type: Lifecycle
description: Versioning scheme, release cadence, support channels and end-of-maintenance posture.
- name: AI Habitat End-of-Maintenance Notice
url: lifecycle/ai-habitat-lifecycle.yml
type: Deprecation
description: First-party notice that beyond v0.3.4 the project receives no official active development or maintenance by
Meta internal teams.
- name: AI Habitat Release History
url: changelog/ai-habitat-changelog.yml
type: ChangeLog
description: Structured release notes for habitat-sim and habitat-lab from v0.3.0 to v0.3.4, read from the GitHub release
feeds.
- name: AI Habitat Command Line
url: cli/ai-habitat-cli.yml
type: CLI
description: Documented command-line surface — dataset downloader, C++/Python viewers, example and benchmark runners.
- name: AI Habitat Sandbox and Test Fixtures
url: sandbox/ai-habitat-sandbox.yml
type: Sandbox
description: In-browser WebAssembly demo plus the named downloadable test scenes and datasets used as the install smoke
test.
- name: Habitat Browser Demo
url: https://aihabitat.org/demo
type: Playground
description: WebAssembly build of the simulator that runs in the browser with no install or account.
- name: AI Habitat Conformance
url: conformance/ai-habitat-conformance.yml
type: Conformance
description: Domain-standard conformance — Gym/Gymnasium environment interface, URDF, glTF/GLB, Bullet, Hydra config.
- name: AI Habitat Data Model
url: data-model/ai-habitat-data-model.yml
type: DataModel
description: Entity-relationship graph over the simulator, agent, sensor, observation, episode and task objects.
- name: AI Habitat Vulnerability Disclosure
url: security/ai-habitat-vulnerability-disclosure.yml
type: VulnerabilityDisclosure
description: facebookresearch organization security policy routing reports to the Meta Bug Bounty program.
- name: AI Habitat Security Policy
url: security/ai-habitat-vulnerability-disclosure.yml
type: Security
description: How to report a vulnerability in habitat-sim or habitat-lab — never as a public issue or pull request.
- name: AI Habitat Plans and Pricing
url: plans/ai-habitat-plans-pricing.yml
type: Plans
description: Measured zero — MIT-licensed software with no hosted service, no plans and no pricing page.
- name: AI Habitat Rate Limits
url: rate-limits/ai-habitat-rate-limits.yml
type: RateLimits
description: Measured zero — no network API, therefore no published or observable rate limits.
- name: AI Habitat Vocabulary
url: vocabulary/ai-habitat-vocabulary.yaml
type: Vocabulary
description: Taxonomy for simulation configuration, agent specifications, task definitions and dataset resources.
- name: AI Habitat JSON Schemas
url: json-schema/ai-habitat-simulator-config-schema.json
type: JSONSchema
description: JSON Schema 2020-12 definitions for the Habitat configuration and observation objects.
- name: AI Habitat Spectral Rules
url: rules/ai-habitat-jsonschema-spectral-rules.yml
type: Rules
description: Spectral ruleset measured from this provider's own JSON Schema conventions.
- name: Habitat-Sim API Reference
url: https://aihabitat.org/docs/habitat-sim/
type: APIReference
description: Generated simulator reference including Python classes and the C++ API.
- name: Habitat-Lab API Reference
url: https://aihabitat.org/docs/habitat-lab/
type: APIReference
description: Generated reference for the task, training and benchmarking library.
- name: Habitat Installation Guide
url: https://github.com/facebookresearch/habitat-sim#installation
type: GettingStarted
description: Four documented install paths — conda (recommended), pip from source, Docker, and source build.
- name: Habitat Community Support
url: https://github.com/facebookresearch/habitat-lab/discussions
type: Support
description: The project's stated support channel; GitHub issues cover defects in each repository.
- name: AI Habitat Cookie Policy
url: https://aihabitat.org/cookie-policy/
type: CookiePolicy
description: The site's only published legal/privacy-family document (last updated June 2021); it defers to Meta's Data
Policy for data processing.
x-enrichment:
date: '2026-08-30'
status: enriched
artifacts_added: 10
pass: local-v1
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