--- title: "agent-zero vs allenact" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agent0ai-agent-zero-vs-allenai-allenact" tools: ["agent0ai-agent-zero", "allenai-allenact"] --- # agent-zero vs allenact *GraphCanon updated Aug 19, 2026* ## 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. [agent-zero](https://agent-zero.ai) reports 19k GitHub stars, 3.7k forks, and 156 open issues, last pushed Aug 16, 2026. [allenact](https://www.allenact.org) has 382 stars, 59 forks, and 58 open issues, last pushed May 19, 2026. Figures are from public GitHub metadata via [agent-zero's repository](https://github.com/agent0ai/agent-zero) and [allenact's repository](https://github.com/allenai/allenact). | | [agent-zero](/tools/agent0ai-agent-zero.md) | [allenact](/tools/allenai-allenact.md) | | --- | --- | --- | | Tagline | Agent Zero AI framework | An open source framework for research in Embodied-AI from AI2 | | Stars | 18,906 | 382 | | Forks | 3,746 | 59 | | Open issues | 156 | 58 | | Language | Python | Python | | Adopt for | 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 is an open-source framework targeted at Embodied-AI research. It emphasizes capabilities in reinforcement learning and deep learning through Python programming. | | Persona | - | - | | Runtime | - | - | | License | Other | Other | | Categories | AI Agents, Inference & Serving | AI Agents, Model Training | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agent-zero](/tools/agent0ai-agent-zero.md) | [allenact](/tools/allenai-allenact.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Steady (60%) | | Days since push | 2d | 73d | | Open issues (now) | 156 | 58 | | Stars delta | +453 (30d) | Unknown | | Open issues delta | -67 (30d) | Unknown | | Full report | [trust report](/tools/agent0ai-agent-zero/trust.md) | [trust report](/tools/allenai-allenact/trust.md) | ## Decision facts: agent-zero - **Pricing:** unknown - The repository does not explicitly state any pricing information. - **Requirements:** Requires Docker; Requires Docker setup and can be configured to leverage existing Docker environments. - **Adopt for:** 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. ## Decision facts: allenact - **Adopt for:** AllenAct is an open-source framework targeted at Embodied-AI research. It emphasizes capabilities in reinforcement learning and deep learning through Python programming. ## Choose when ### 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. ### 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 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). ## 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. ## 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/usr` directory 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](/tools/agent0ai-agent-zero/alternatives) and [allenact alternatives](/tools/allenai-allenact/alternatives) ([agent-zero markdown twin](/tools/agent0ai-agent-zero/alternatives.md), [allenact markdown twin](/tools/allenai-allenact/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/agent0ai-agent-zero-vs-allenai-allenact.md) 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](/tools/agent0ai-agent-zero/trust); [allenact trust report](/tools/allenai-allenact/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agent0ai-agent-zero`](/api/graphcanon/graph?tool=agent0ai-agent-zero) - 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/_