--- title: "allenact vs agency" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/allenai-allenact-vs-operand-agency" tools: ["allenai-allenact", "operand-agency"] --- # allenact vs agency *GraphCanon updated Aug 21, 2026* ## Verdict 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; pick agency if agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. [allenact](https://www.allenact.org) reports 382 GitHub stars, 59 forks, and 58 open issues, last pushed May 19, 2026. [agency](https://createwith.agency) has 489 stars, 28 forks, and 19 open issues, last pushed Jun 10, 2026. Figures are from public GitHub metadata via [allenact's repository](https://github.com/allenai/allenact) and [agency's repository](https://github.com/operand/agency). | | [allenact](/tools/allenai-allenact.md) | [agency](/tools/operand-agency.md) | | --- | --- | --- | | Tagline | An open source framework for research in Embodied-AI from AI2 | A fast and minimal framework for building agentic systems | | Stars | 382 | 489 | | Forks | 59 | 28 | | Open issues | 58 | 19 | | Language | Python | Python | | 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. | Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. | | Persona | - | - | | Runtime | - | - | | License | Other | MIT | | Categories | AI Agents, Model Training | AI Agents | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [allenact](/tools/allenai-allenact.md) | [agency](/tools/operand-agency.md) | | --- | --- | --- | | Days since push | 73d | 71d | | Open issues (now) | 58 | 19 | | Stars delta | Unknown | +2 (30d) | | Open issues delta | Unknown | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/allenai-allenact/trust.md) | [trust report](/tools/operand-agency/trust.md) | ## 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. ## Decision facts: agency - **Adopt for:** Agency is a fast and minimal Python-based framework for developing agentic systems that excels in its streamlined approach to creating autonomous agents. ## Choose when ### Choose allenact if… - License: allenact is Other, agency is MIT. - Tags unique to allenact: ai, ai2, computer-vision, deep-learning. - Also covers Model Training. - When conducting research with embodied agents where the focus is on reinforcement learning and deep learning. ### Choose agency if… - License: agency is MIT, allenact is Other. - Tags unique to agency: actor-model, agent-framework, autonomous-agents. - When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies. ## 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. ## When NOT to use agency - If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. - In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design. ## Common questions ### What is the difference between allenact and agency? allenact: An open source framework for research in Embodied-AI from AI2. agency: A fast and minimal framework for building agentic systems. See the comparison table for live GitHub stats and shared categories. ### When should I choose allenact over agency? Choose allenact over agency when License: allenact is Other, agency is MIT; Tags unique to allenact: ai, ai2, computer-vision, deep-learning; Also covers Model Training; When conducting research with embodied agents where the focus is on reinforcement learning and deep learning. ### When should I choose agency over allenact? Choose agency over allenact when License: agency is MIT, allenact is Other; Tags unique to agency: actor-model, agent-framework, autonomous-agents; When you prefer a lightweight solution for building autonomous agent systems without the need for extensive configuration or complex dependencies. ### 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. ### When should I avoid agency? If your development requires deeply integrated functionalities that would necessitate a heavier, more feature-rich framework. In scenarios where you need robust tooling for large-scale deployment and management as Agency does not offer extensive LLMOps (LLM Operations) capabilities beyond its minimalistic design. ### Is allenact or agency more popular on GitHub? agency has more GitHub stars (489 vs 382). Stars measure visibility, not whether either tool fits your constraints. ### Are allenact and agency open source? Yes - both are open-source projects on GitHub (allenact: Other, agency: MIT). ### Where can I find alternatives to allenact or agency? GraphCanon lists graph-backed alternatives at [allenact alternatives](/tools/allenai-allenact/alternatives) and [agency alternatives](/tools/operand-agency/alternatives) ([allenact markdown twin](/tools/allenai-allenact/alternatives.md), [agency markdown twin](/tools/operand-agency/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/allenai-allenact-vs-operand-agency.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, allenact or agency? allenact: Steady. agency: 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 allenact and agency? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [allenact trust report](/tools/allenai-allenact/trust); [agency trust report](/tools/operand-agency/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=allenai-allenact`](/api/graphcanon/graph?tool=allenai-allenact) - 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/_