--- title: "allenact vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/allenai-allenact-vs-shubhamsaboo-awesome-llm-apps" tools: ["allenai-allenact", "shubhamsaboo-awesome-llm-apps"] --- # allenact vs awesome-llm-apps *GraphCanon updated Jul 11, 2026* ## Verdict Pick allenact when license: allenact is Other, awesome-llm-apps is Apache-2.0; pick awesome-llm-apps when license: awesome-llm-apps is Apache-2.0, allenact is Other. [allenact](https://www.allenact.org) reports 382 GitHub stars, 59 forks, and 58 open issues, last pushed May 19, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 118k stars, 17k forks, and 6 open issues, last pushed Jul 11, 2026. Figures are from public GitHub metadata via [allenact's repository](https://github.com/allenai/allenact) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [allenact](/tools/allenai-allenact.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | An open source framework for research in Embodied-AI from AI2. | 100+ AI Agent & RAG apps you can actually run — clone, customize, ship. | | Stars | 382 | 117,774 | | Forks | 59 | 17,498 | | Open issues | 58 | 6 | | Language | Python | Python | | Adopt for | - | awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. | | Persona | - | - | | Runtime | - | - | | License | Other | The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. | | Categories | AI Agents, Computer Vision | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [allenact](/tools/allenai-allenact.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 52d | 0d | | Open issues (now) | 58 | 6 | | Owner type | Organization | User | | Security scan | 110 low (110 low) | No lockfile | | Full report | [trust report](/tools/allenai-allenact/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: awesome-llm-apps - **Pricing:** freemium - Free with open-source licensing, but commercial exploitation is allowed. - **Adopt for:** awesome-llm-apps is a collection of over 100 AI Agent and Retrieval Augmented Generation (RAG) applications that enable users to quickly implement, customize, and deploy practical use cases in Python. - **License detail:** The Apache-2.0 license allows users to freely use, modify, and distribute the projects found in awesome-llm-apps under specific conditions outlined by the license. ## Choose when ### Choose allenact if… - License: allenact is Other, awesome-llm-apps is Apache-2.0. - Tags unique to allenact: research, embodied-agent, reinforcement-learning, deep-learning. - Also covers Computer Vision. ### Choose awesome-llm-apps if… - License: awesome-llm-apps is Apache-2.0, allenact is Other. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: llms, deployable, applications, agents. - Also covers Data & Retrieval. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use allenact - AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ## When NOT to use awesome-llm-apps - If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. - When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ## Common questions ### What is the difference between allenact and awesome-llm-apps? allenact: An open source framework for research in Embodied-AI from AI2.. awesome-llm-apps: 100+ AI Agent & RAG apps you can actually run — clone, customize, ship.. See the comparison table for live GitHub stats and shared categories. ### When should I choose allenact over awesome-llm-apps? Choose allenact over awesome-llm-apps when License: allenact is Other, awesome-llm-apps is Apache-2.0; Tags unique to allenact: research, embodied-agent, reinforcement-learning, deep-learning; Also covers Computer Vision. ### When should I choose awesome-llm-apps over allenact? Choose awesome-llm-apps over allenact when License: awesome-llm-apps is Apache-2.0, allenact is Other; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: llms, deployable, applications, agents; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid allenact? AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. ### When should I avoid awesome-llm-apps? If your project requires highly specialized customization beyond what the provided apps can offer out-of-the-box, as deep integration might be required from scratch. When you are looking for a fully managed service or support directly from developers; this repository is more about self-service and community interaction. ### Is allenact or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (117,774 vs 382). Stars measure visibility, not whether either tool fits your constraints. ### Are allenact and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (allenact: Other, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to allenact or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [allenact alternatives](/tools/allenai-allenact/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([allenact markdown twin](/tools/allenai-allenact/alternatives.md), [awesome-llm-apps markdown twin](/tools/shubhamsaboo-awesome-llm-apps/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-shubhamsaboo-awesome-llm-apps.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, allenact or awesome-llm-apps? allenact: Steady. awesome-llm-apps: Very active. 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 awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [allenact trust report](/tools/allenai-allenact/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/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/_