Comparison
agent-zero vs allenact
Verdict
Pick agent-zero if agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth; pick allenact if allenAct is an open-source framework targeted at Embodied-AI research. It emphasizes capabilities in reinforcement learning and deep learning through Python programming.
Markdown twin · agent-zero alternatives · allenact alternatives
GraphCanon updated 1w
Trust & integrity
| Signal | agent-zero | allenact |
|---|---|---|
| Maintenance | Very active (2d since push) As of 1w · github_public_v1 | Steady (73d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Organization account As of 1w · github_public_v1 | Not a fork · Organization account As of 3w · github_public_v1 |
| OSV dependency advisories | Published findings As of 1mo · osv@v1 | Published findings 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
- agent-zero
- Agent Zero AI framework
- allenact
- An open source framework for research in Embodied-AI from AI2
Stars
- agent-zero
- 19k
- allenact
- 382
Forks
- agent-zero
- 3.7k
- allenact
- 59
Open issues
- agent-zero
- 156
- allenact
- 58
Language
- agent-zero
- Python
- allenact
- Python
Adopt for
- agent-zero
- Agent-zero is a Python-based autonomous agent framework that uses Docker for deployment and supports integration with LLM providers such as OpenAI Codex via OAuth.
- allenact
- AllenAct is an open-source framework targeted at Embodied-AI research. It emphasizes capabilities in reinforcement learning and deep learning through Python programming.
Persona
- agent-zero
- -
- allenact
- -
Runtime
- agent-zero
- -
- allenact
- -
License
- agent-zero
- Other
- allenact
- Other
Last pushed
- agent-zero
- Aug 16, 2026
- allenact
- May 19, 2026
Categories
- agent-zero
- AI Agents, Inference & Serving
- allenact
- AI Agents, Model Training
Trust and health
Maintenance
- agent-zero
- Very active (96%)
- allenact
- Steady (60%)
Days since push
- agent-zero
- 2d
- allenact
- 73d
Open issues (now)
- agent-zero
- 156
- allenact
- 58
Stars delta
- agent-zero
- +453 (30d)
- allenact
- Unknown
Open issues delta
- agent-zero
- -67 (30d)
- allenact
- Unknown
Full report
- agent-zero
- Trust report
- allenact
- Trust report
Choose agent-zero if…
- Pricing: The repository does not explicitly state any pricing information..
- Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments..
- Tags unique to agent-zero: agent, assistant, autonomous, linux.
- Also covers Inference & Serving.
- * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes.
When NOT to use agent-zero
- * When your deployment environment does not support or require Dockerization for agent operations.
- * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical.
- * For installations that do not align well with the provided `/a0/usr` directory mapping conventions (e.g., specific data directories are required).
Choose allenact if…
- Tags unique to allenact: ai2, computer-vision, deep-learning, python.
- Also covers Model Training.
- When conducting research with embodied agents where the focus is on reinforcement learning and deep learning.
When NOT to use allenact
- For projects needing general-purpose machine learning capabilities unrelated to embodied agents or environments requiring minimal interaction with physical contexts.
- If your project does not align with Python-based development, as AllenAct heavily depends on this language for its functionalities.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (agent0ai/agent-zero) · observed Aug 19, 2026
- GitHub forks (agent0ai/agent-zero) · observed Aug 19, 2026
- Last push (agent0ai/agent-zero) · observed Aug 16, 2026
- License file (Other) · observed Aug 19, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (allenai/allenact) · observed Aug 1, 2026
- GitHub forks (allenai/allenact) · observed Aug 1, 2026
- Last push (allenai/allenact) · observed May 19, 2026
- License file (Other) · observed Aug 1, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: agent-zero 19k · allenact 382 (synced Aug 19, 2026).
Common questions
- What is the difference between agent-zero and allenact?
- agent-zero: Agent Zero AI framework. allenact: An open source framework for research in Embodied-AI from AI2. See the comparison table for live GitHub stats and shared categories.
- When should I choose agent-zero over allenact?
- Choose agent-zero over allenact when Pricing: The repository does not explicitly state any pricing information.; Requirements: Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments.; Tags unique to agent-zero: agent, assistant, autonomous, linux; Also covers Inference & Serving; * When setting up agents in SSH sessions, servers, recovery shells, or requiring scriptable installation processes.
- When should I choose allenact over agent-zero?
- Choose allenact over agent-zero when Tags unique to allenact: ai2, computer-vision, deep-learning, python; Also covers Model Training; When conducting research with embodied agents where the focus is on reinforcement learning and deep learning.
- When should I avoid agent-zero?
- * When your deployment environment does not support or require Dockerization for agent operations. * In scenarios where OAuth-based integration with third-party language model providers is undesirable or impractical. * For installations that do not align well with the provided
/a0/usrdirectory mapping conventions (e.g., specific data directories are required). - When should I avoid allenact?
- For projects needing general-purpose machine learning capabilities unrelated to embodied agents or environments requiring minimal interaction with physical contexts. If your project does not align with Python-based development, as AllenAct heavily depends on this language for its functionalities.
- Is agent-zero or allenact more popular on GitHub?
- agent-zero has more GitHub stars (18,906 vs 382). Stars measure visibility, not whether either tool fits your constraints.
- Are agent-zero and allenact open source?
- Yes - both are open-source projects on GitHub (agent-zero: Other, allenact: Other).
- Where can I find alternatives to agent-zero or allenact?
- GraphCanon lists graph-backed alternatives at agent-zero alternatives and allenact alternatives (agent-zero markdown twin, allenact 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, agent-zero or allenact?
- agent-zero: Very active. allenact: 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 agent-zero and allenact?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: agent-zero trust report; allenact trust report.