--- title: "habitat-lab vs AgentGPT" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/facebookresearch-habitat-lab-vs-reworkd-agentgpt" tools: ["facebookresearch-habitat-lab", "reworkd-agentgpt"] --- # habitat-lab vs AgentGPT *GraphCanon updated Aug 8, 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 AgentGPT if agentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects. [habitat-lab](https://aihabitat.org/) reports 3.1k GitHub stars, 684 forks, and 388 open issues, last pushed May 7, 2026. [AgentGPT](https://agentgpt.reworkd.ai) has 36k stars, 9.3k forks, and 219 open issues, last pushed Apr 29, 2025. Figures are from public GitHub metadata via [habitat-lab's repository](https://github.com/facebookresearch/habitat-lab) and [AgentGPT's repository](https://github.com/reworkd/AgentGPT). | | [habitat-lab](/tools/facebookresearch-habitat-lab.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Tagline | A modular high-level library to train embodied AI agents | Assembler for autonomous AI Agents | | Stars | 3,082 | 36,304 | | Forks | 684 | 9,288 | | Open issues | 388 | 219 | | Language | Python | TypeScript | | Adopt for | Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques. | AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects | | Persona | - | - | | Runtime | - | - | | License | MIT | GPL-3.0 | | Categories | AI Agents, Computer Vision | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [habitat-lab](/tools/facebookresearch-habitat-lab.md) | [AgentGPT](/tools/reworkd-agentgpt.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Archived (8%) | | Days since push | 84d | 466d | | Archived on GitHub | No | Yes | | Open issues (now) | 388 | 219 | | Full report | [trust report](/tools/facebookresearch-habitat-lab/trust.md) | [trust report](/tools/reworkd-agentgpt/trust.md) | ## 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: AgentGPT - **Adopt for:** AgentGPT is a TypeScript-based tool that supports users in assembling and deploying autonomous AI agents with a streamlined setup via a CLI, suitable for those who prefer browser-based interactions with their AI projects ## Choose when ### Choose habitat-lab if… - habitat-lab is primarily Python; AgentGPT is TypeScript. - License: habitat-lab is MIT, AgentGPT is GPL-3.0. - 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. - Use Habitat-Lab when your project requires the simulation of complex environments for embodied AI tasks, such as navigation and interaction with objects ### Choose AgentGPT if… - AgentGPT is primarily TypeScript; habitat-lab is Python. - License: AgentGPT is GPL-3.0, habitat-lab is MIT. - Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup. - Also covers Developer Tools. - When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI ## 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 AgentGPT - Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box - Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ## Common questions ### What is the difference between habitat-lab and AgentGPT? habitat-lab: A modular high-level library to train embodied AI agents. AgentGPT: Assembler for autonomous AI Agents. See the comparison table for live GitHub stats and shared categories. ### When should I choose habitat-lab over AgentGPT? Choose habitat-lab over AgentGPT when habitat-lab is primarily Python; AgentGPT is TypeScript; License: habitat-lab is MIT, AgentGPT is GPL-3.0; 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; 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 AgentGPT over habitat-lab? Choose AgentGPT over habitat-lab when AgentGPT is primarily TypeScript; habitat-lab is Python; License: AgentGPT is GPL-3.0, habitat-lab is MIT; Tags unique to AgentGPT: agent, autonomous, backend-development, cli-setup; Also covers Developer Tools; When you want to leverage pre-configured setups for database integration (specifically MySQL) handled by AgentGPT's CLI. ### 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 AgentGPT? Avoid using if your project requires a NoSQL database solution, given that AgentGPT is configured specifically with MySQL out-of-the-box Consider alternatives if your stack does not include FastAPI or Next.js, as the tool's default configurations might require significant adjustment ### Is habitat-lab or AgentGPT more popular on GitHub? AgentGPT has more GitHub stars (36,304 vs 3,082). Stars measure visibility, not whether either tool fits your constraints. ### Are habitat-lab and AgentGPT open source? Yes - both are open-source projects on GitHub (habitat-lab: MIT, AgentGPT: GPL-3.0). ### Where can I find alternatives to habitat-lab or AgentGPT? GraphCanon lists graph-backed alternatives at [habitat-lab alternatives](/tools/facebookresearch-habitat-lab/alternatives) and [AgentGPT alternatives](/tools/reworkd-agentgpt/alternatives) ([habitat-lab markdown twin](/tools/facebookresearch-habitat-lab/alternatives.md), [AgentGPT markdown twin](/tools/reworkd-agentgpt/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-reworkd-agentgpt.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, habitat-lab or AgentGPT? habitat-lab: Steady. AgentGPT: Archived. 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 AgentGPT? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [habitat-lab trust report](/tools/facebookresearch-habitat-lab/trust); [AgentGPT trust report](/tools/reworkd-agentgpt/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/_