Comparison
habitat-lab vs agent-opt
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-opt if agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
Markdown twin · habitat-lab alternatives · agent-opt alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | habitat-lab | agent-opt |
|---|---|---|
| Maintenance | Steady (84d since push) As of 3w · github_public_v1 | Steady (35d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 3w · github_public_v1 | Not a fork · Organization account As of 2w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- habitat-lab
- A modular high-level library to train embodied AI agents
- agent-opt
- Open Source Library for Automated Optimization of AI Agent Workflows
Stars
- habitat-lab
- 3.1k
- agent-opt
- 71
Forks
- habitat-lab
- 684
- agent-opt
- 7
Open issues
- habitat-lab
- 388
- agent-opt
- 0
Language
- habitat-lab
- Python
- agent-opt
- Python
Adopt for
- habitat-lab
- Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques.
- agent-opt
- Agent-opt is tailored for teams that require automated optimization of AI workflows and support for continuous integration/continuous delivery (CI/CD), relying on Python and specific library dependencies.
Persona
- habitat-lab
- -
- agent-opt
- -
Runtime
- habitat-lab
- -
- agent-opt
- -
License
- habitat-lab
- MIT
- agent-opt
- Apache-2.0
Last pushed
- habitat-lab
- May 7, 2026
- agent-opt
- Jun 30, 2026
Categories
- habitat-lab
- AI Agents, Computer Vision
- agent-opt
- AI Agents, Evaluation & Observability
Trust and health
Days since push
- habitat-lab
- 84d
- agent-opt
- 35d
Open issues (now)
- habitat-lab
- 388
- agent-opt
- 0
Full report
- habitat-lab
- Trust report
- agent-opt
- Trust report
Shared compatibility
- Python · habitat-lab: Python runtime · agent-opt: Python runtime
Choose habitat-lab if…
- License: habitat-lab is MIT, agent-opt is Apache-2.0.
- 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.
- 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 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
Choose agent-opt if…
- License: agent-opt is Apache-2.0, habitat-lab is MIT.
- Tags unique to agent-opt: agent, ai-agents, aioptimization, automation.
- Also covers Evaluation & Observability.
- - When your project needs seamless CI/CD integration alongside automated optimization
When NOT to use agent-opt
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10
- - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (facebookresearch/habitat-lab) · observed Jul 31, 2026
- GitHub forks (facebookresearch/habitat-lab) · observed Jul 31, 2026
- Last push (facebookresearch/habitat-lab) · observed May 7, 2026
- License file (MIT) · observed Jul 31, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (future-agi/agent-opt) · observed Aug 4, 2026
- GitHub forks (future-agi/agent-opt) · observed Aug 4, 2026
- Last push (future-agi/agent-opt) · observed Jun 30, 2026
- License file (Apache-2.0) · observed Aug 4, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: habitat-lab 3.1k · agent-opt 71 (synced Jul 31, 2026).
Common questions
- What is the difference between habitat-lab and agent-opt?
- habitat-lab: A modular high-level library to train embodied AI agents. agent-opt: Open Source Library for Automated Optimization of AI Agent Workflows. See the comparison table for live GitHub stats and shared categories.
- When should I choose habitat-lab over agent-opt?
- Choose habitat-lab over agent-opt when License: habitat-lab is MIT, agent-opt is Apache-2.0; 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; 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-opt over habitat-lab?
- Choose agent-opt over habitat-lab when License: agent-opt is Apache-2.0, habitat-lab is MIT; Tags unique to agent-opt: agent, ai-agents, aioptimization, automation; Also covers Evaluation & Observability; - When your project needs seamless CI/CD integration alongside automated optimization.
- 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-opt?
- - If your project does not require Python or if it cannot meet the specific requirement of having Python ≥ 3.10 - In scenarios where CI/CD integration is not a priority for your AI workflow optimization
- Is habitat-lab or agent-opt more popular on GitHub?
- habitat-lab has more GitHub stars (3,082 vs 71). Stars measure visibility, not whether either tool fits your constraints.
- Are habitat-lab and agent-opt open source?
- Yes - both are open-source projects on GitHub (habitat-lab: MIT, agent-opt: Apache-2.0).
- Where can I find alternatives to habitat-lab or agent-opt?
- GraphCanon lists graph-backed alternatives at habitat-lab alternatives and agent-opt alternatives (habitat-lab markdown twin, agent-opt markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, habitat-lab or agent-opt?
- habitat-lab: Steady. agent-opt: Steady. 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-opt?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: habitat-lab trust report; agent-opt trust report.