--- title: "habitat-lab vs agent-learning-kit" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-habitat-lab-vs-future-agi-agent-learning-kit" tools: ["facebookresearch-habitat-lab", "future-agi-agent-learning-kit"] --- # habitat-lab vs agent-learning-kit *GraphCanon updated Sep 21, 2026* ## Verdict Pick habitat-lab if habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques; pick agent-learning-kit if agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language. [habitat-lab](https://aihabitat.org/) reports 3.1k GitHub stars, 690 forks, and 390 open issues, last pushed May 7, 2026. [agent-learning-kit](https://futureagi.com) has 119 stars, 44 forks, and 19 open issues, last pushed Sep 18, 2026. Figures are from public GitHub metadata via [habitat-lab's repository](https://github.com/facebookresearch/habitat-lab) and [agent-learning-kit's repository](https://github.com/future-agi/agent-learning-kit). | | [habitat-lab](/tools/facebookresearch-habitat-lab.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | | --- | --- | --- | | Tagline | A modular high-level library to train embodied AI agents | General Purpose Evaluation and Simulation Environment for all your AI related Workflows | | Stars | 3,138 | 119 | | Forks | 690 | 44 | | Open issues | 390 | 19 | | Language | Python | Python | | Adopt for | Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques. | agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | AI Agents, Computer Vision | AI Agents, Evaluation & Observability | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [habitat-lab](/tools/facebookresearch-habitat-lab.md) | [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) | | --- | --- | --- | | Maintenance | Slowing (36%) | Very active (96%) | | Days since push | 136d | 0d | | Open issues (now) | 390 | 19 | | Stars delta | +56 (30d) | +1 (30d) | | Open issues delta | +2 (30d) | +13 (30d) | | Full report | [trust report](/tools/facebookresearch-habitat-lab/trust.md) | [trust report](/tools/future-agi-agent-learning-kit/trust.md) | ## Shared compatibility - **Python**: [habitat-lab](/tools/facebookresearch-habitat-lab.md) - Python runtime; [agent-learning-kit](/tools/future-agi-agent-learning-kit.md) - Python runtime ## Decision facts: habitat-lab - **Requirements:** Min 8 GB RAM; Requires Docker; Python >=3.9 is required along with cmake>=3.14 for installation; For users working on machines equipped with NVIDIA GPUs, nvidia-docker installation is necessary to run the provided Docker containers - **Adopt for:** Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques. ## Decision facts: agent-learning-kit - **Adopt for:** agent-learning-kit is a Python-based toolkit for evaluating and simulating AI workflows, particularly suited for AI agents. It offers optional extras for specific functionalities and a TypeScript SDK for broader language ## Choose when ### Choose habitat-lab if… - License: habitat-lab is MIT, agent-learning-kit is Other. - Requirements: Min 8 GB RAM; Requires Docker; Python >=3.9 is required along with cmake>=3.14 for installation; For users working on machines equipped with NVIDIA GPUs, nvidia-docker installation is necessary to run the provided Docker containers. - Tags unique to habitat-lab: ai, computer-vision, deep-learning, reinforcement learning. - Also covers Computer Vision. - habitat-lab ships Docker support for self-hosted deployment. - Use Habitat-Lab when your project requires the simulation of complex environments for embodied AI tasks, such as navigation and interaction with objects ### Choose agent-learning-kit if… - License: agent-learning-kit is Other, habitat-lab is MIT. - Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation. - Also covers Evaluation & Observability. - When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents ## When NOT to use habitat-lab - Avoid Habitat-Lab if the computational resources required for running the simulations exceed what is available or feasible in terms of cost - Do not use Habitat-Lab when the project is solely focused on real-world data and does not necessitate virtual training environments, as setting up such a library might add unnecessary complexity ## When NOT to use agent-learning-kit - If your project strictly requires a different programming language other than Python or TypeScript - When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ## Common questions ### What is the difference between habitat-lab and agent-learning-kit? habitat-lab: A modular high-level library to train embodied AI agents. agent-learning-kit: General Purpose Evaluation and Simulation Environment for all your AI related Workflows. See the comparison table for live GitHub stats and shared categories. ### When should I choose habitat-lab over agent-learning-kit? Choose habitat-lab over agent-learning-kit when License: habitat-lab is MIT, agent-learning-kit is Other; Requirements: Min 8 GB RAM; Requires Docker; Python >=3.9 is required along with cmake>=3.14 for installation; For users working on machines equipped with NVIDIA GPUs, nvidia-docker installation is necessary to run the provided Docker containers; Tags unique to habitat-lab: ai, computer-vision, deep-learning, reinforcement learning; Also covers Computer Vision; habitat-lab ships Docker support for self-hosted deployment; Use Habitat-Lab when your project requires the simulation of complex environments for embodied AI tasks, such as navigation and interaction with objects. ### When should I choose agent-learning-kit over habitat-lab? Choose agent-learning-kit over habitat-lab when License: agent-learning-kit is Other, habitat-lab is MIT; Tags unique to agent-learning-kit: agentic-ai, ai-agents, cicd, evaluation; Also covers Evaluation & Observability; When you need a comprehensive environment for evaluating and simulating AI workflows, especially for AI agents. ### When should I avoid habitat-lab? Avoid Habitat-Lab if the computational resources required for running the simulations exceed what is available or feasible in terms of cost Do not use Habitat-Lab when the project is solely focused on real-world data and does not necessitate virtual training environments, as setting up such a library might add unnecessary complexity ### When should I avoid agent-learning-kit? If your project strictly requires a different programming language other than Python or TypeScript When you need a tool that is already at a mature v1 release, as agent-learning-kit is still developing its TypeScript SDK and extras ### Is habitat-lab or agent-learning-kit more popular on GitHub? habitat-lab has more GitHub stars (3,138 vs 119). Stars measure visibility, not whether either tool fits your constraints. ### Are habitat-lab and agent-learning-kit open source? Yes - both are open-source projects on GitHub (habitat-lab: MIT, agent-learning-kit: Other). ### Where can I find alternatives to habitat-lab or agent-learning-kit? GraphCanon lists graph-backed alternatives at [habitat-lab alternatives](/tools/facebookresearch-habitat-lab/alternatives) and [agent-learning-kit alternatives](/tools/future-agi-agent-learning-kit/alternatives) ([habitat-lab markdown twin](/tools/facebookresearch-habitat-lab/alternatives.md), [agent-learning-kit markdown twin](/tools/future-agi-agent-learning-kit/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/facebookresearch-habitat-lab-vs-future-agi-agent-learning-kit.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, habitat-lab or agent-learning-kit? habitat-lab: Slowing. agent-learning-kit: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for habitat-lab and agent-learning-kit? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [habitat-lab trust report](/tools/facebookresearch-habitat-lab/trust); [agent-learning-kit trust report](/tools/future-agi-agent-learning-kit/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=facebookresearch-habitat-lab`](/api/graphcanon/graph?tool=facebookresearch-habitat-lab) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_