Comparison
agentfield vs habitat-lab
Verdict
Pick agentfield if agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure; pick habitat-lab if habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques.
Markdown twin · agentfield alternatives · habitat-lab alternatives
GraphCanon updated 2w
vs
Trust & integrity
| Signal | agentfield | habitat-lab |
|---|---|---|
| Maintenance | Very active (0d since push) As of 2w · github_public_v1 | Steady (84d since push) As of 2w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 2w · 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
- agentfield
- Build, run and scale AI agents like API and microservices
- habitat-lab
- A modular high-level library to train embodied AI agents
Stars
- agentfield
- 2.5k
- habitat-lab
- 3.1k
Forks
- agentfield
- 392
- habitat-lab
- 684
Open issues
- agentfield
- 74
- habitat-lab
- 388
Language
- agentfield
- Go
- habitat-lab
- Python
Adopt for
- agentfield
- Agent-Field/agentfield is a comprehensive toolset built in Go under the Apache-2.0 license, aiming to streamline the development lifecycle of scalable AI agents that are observably secure.
- habitat-lab
- Habitat-Lab is a Python library for training embodied AI agents in virtual environments through deep and reinforcement learning techniques.
Persona
- agentfield
- -
- habitat-lab
- -
Runtime
- agentfield
- -
- habitat-lab
- -
License
- agentfield
- Apache-2.0
- habitat-lab
- MIT
Last pushed
- agentfield
- Aug 1, 2026
- habitat-lab
- May 7, 2026
Categories
- agentfield
- AI Agents
- habitat-lab
- AI Agents, Computer Vision
Trust and health
Maintenance
- agentfield
- Very active (96%)
- habitat-lab
- Steady (60%)
Days since push
- agentfield
- 0d
- habitat-lab
- 84d
Open issues (now)
- agentfield
- 74
- habitat-lab
- 388
Full report
- agentfield
- Trust report
- habitat-lab
- Trust report
Choose agentfield if…
- agentfield is primarily Go; habitat-lab is Python.
- License: agentfield is Apache-2.0, habitat-lab is MIT.
- Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai.
- When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
When NOT to use agentfield
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
Choose habitat-lab if…
- habitat-lab is primarily Python; agentfield is Go.
- License: habitat-lab is MIT, agentfield 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
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (Agent-Field/agentfield) · observed Aug 2, 2026
- GitHub forks (Agent-Field/agentfield) · observed Aug 2, 2026
- Last push (Agent-Field/agentfield) · observed Aug 1, 2026
- License file (Apache-2.0) · observed Aug 2, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- 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 on cards: agentfield 2.5k · habitat-lab 3.1k (synced Aug 2, 2026).
Common questions
- What is the difference between agentfield and habitat-lab?
- agentfield: Build, run and scale AI agents like API and microservices. habitat-lab: A modular high-level library to train embodied AI agents. See the comparison table for live GitHub stats and shared categories.
- When should I choose agentfield over habitat-lab?
- Choose agentfield over habitat-lab when agentfield is primarily Go; habitat-lab is Python; License: agentfield is Apache-2.0, habitat-lab is MIT; Tags unique to agentfield: agent-auth, agent-authentication, agent-scaling, agentic-ai; When you seek to manage and scale your AI agents with robust identity awareness and auditability features from inception.
- When should I choose habitat-lab over agentfield?
- Choose habitat-lab over agentfield when habitat-lab is primarily Python; agentfield is Go; License: habitat-lab is MIT, agentfield 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 avoid agentfield?
- If your project requires heavy customization in languages other than Go as Agentfield is primarily built using Go which may limit its adaptability in polyglot environments.
- 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
- Is agentfield or habitat-lab more popular on GitHub?
- habitat-lab has more GitHub stars (3,082 vs 2,472). Stars measure visibility, not whether either tool fits your constraints.
- Are agentfield and habitat-lab open source?
- Yes - both are open-source projects on GitHub (agentfield: Apache-2.0, habitat-lab: MIT).
- Where can I find alternatives to agentfield or habitat-lab?
- GraphCanon lists graph-backed alternatives at agentfield alternatives and habitat-lab alternatives (agentfield markdown twin, habitat-lab 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, agentfield or habitat-lab?
- agentfield: Very active. habitat-lab: 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 agentfield and habitat-lab?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agentfield trust report; habitat-lab trust report.