# AI Habitat

**Canonical:** https://apis.io/providers/ai-habitat/  
**Website:** https://aihabitat.org/challenge/  
**APIs profiled:** 1

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.

## Kin Score — 22.1 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 22.1).

| Facet | Score |
|---|---|
| Discoverability | 59.3 |
| Contract Quality | 15.5 |
| Governance | 9.8 |
| Contract Governance | 9.8 |
| Operational Transparency | 13.2 |
| Developer Ergonomics | 31.0 |
| Commercial Clarity | 15.8 |
| Access Clarity | 15.8 |

## Agent readiness — 3.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | documented |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Freemium — onboarding: unknown, pricing: freemium, trial: no (confidence: medium).

## APIs (1)

- **AI Habitat** — AI Habitat simulation framework for embodied AI research, including Habitat-Sim (high-performance 3D simulator) and Habitat-Lab (modular training library). Supports navigation, ...

## Security (1)

- **Ai Habitat Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC

## Plans (1)

- **Ai Habitat Plans Pricing**

## Use cases (5)

- **Embodied Navigation Research** — Train and evaluate AI agents on point-goal, object-goal, and image-goal navigation tasks in 3D environments.
- **Robot Manipulation Research** — Develop manipulation skills for pick-and-place, rearrangement, and tool use with simulated robot arms.
- **Human-Robot Collaboration** — Research human-robot teaming for household tasks using the PARTNR benchmark and Habitat 3.0.
- **Reinforcement Learning Training** — Fast simulation enables RL agents to explore millions of environment steps for policy learning.
- **Dataset Creation and Annotation** — Generate synthetic data, annotations, and demonstrations for embodied AI training datasets.

## Tags

Artificial Intelligence, Simulation, Embodied AI, Robotics, Computer-Vision, Reinforcement Learning, Machine-Learning, Open-Source, Research

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/ai-habitat/). Scores are computed from the provider's own public artifacts under a published rubric.