--- title: "cordum vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/cordum-io-cordum-vs-shubhamsaboo-awesome-llm-apps" tools: ["cordum-io-cordum", "shubhamsaboo-awesome-llm-apps"] --- # cordum vs awesome-llm-apps *GraphCanon updated Sep 20, 2026* ## Verdict Pick cordum if cordum is an action firewall for AI agents, designed to enforce policy and human approval before risky operations, with a focus on auditability and compliance; pick awesome-llm-apps if 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. [cordum](https://github.com/cordum-io/cordum) reports 507 GitHub stars, 33 forks, and 30 open issues, last pushed Sep 17, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 136k stars, 20k forks, and 10 open issues, last pushed Sep 2, 2026. Figures are from public GitHub metadata via [cordum's repository](https://github.com/cordum-io/cordum) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [cordum](/tools/cordum-io-cordum.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | The action firewall for AI agents, enforcing policy and human approval before risky operations. | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 507 | 136,444 | | Forks | 33 | 20,078 | | Open issues | 30 | 10 | | Language | Go | Python | | Adopt for | Cordum is an action firewall for AI agents, designed to enforce policy and human approval before risky operations, with a focus on auditability and compliance. | 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, Evaluation & Observability | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [cordum](/tools/cordum-io-cordum.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 0d | 4d | | Open issues (now) | 30 | 10 | | Stars delta | +13 (30d) | +5.2k (30d) | | Open issues delta | +14 (30d) | -3 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/cordum-io-cordum/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Decision facts: cordum - **Adopt for:** Cordum is an action firewall for AI agents, designed to enforce policy and human approval before risky operations, with a focus on auditability and compliance. ## 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 cordum if… - cordum is primarily Go; awesome-llm-apps is Python. - License: cordum is Other, awesome-llm-apps is Apache-2.0. - Tags unique to cordum: agent-framework, ai-governance, audit-trail, human-in-the-loop. - Also covers Evaluation & Observability. - cordum ships Docker support for self-hosted deployment. - When you need a framework that ensures human approval before AI agents execute risky operations, such as shell commands or production changes. ### Choose awesome-llm-apps if… - awesome-llm-apps is primarily Python; cordum is Go. - License: awesome-llm-apps is Apache-2.0, cordum is Other. - Pricing: Free with open-source licensing, but commercial exploitation is allowed.. - Tags unique to awesome-llm-apps: agents, applications, customizable, deployable. - Also covers Data & Retrieval. - When you need quick implementations of various real-world use cases for AI Agents and RAG. ## When NOT to use cordum - If you are looking for a solution that can be offered as a competing hosted service before January 1, 2029, as the current license restricts this use case. - When your deployment environment does not meet the prerequisites for running Cordum, such as Docker Desktop v4+, Go 1.26.3+, and at least 4 GB of RAM. - If your organization does not require a full stack setup including an API gateway, scheduler, safety kernel, workflow engine, context engine, dashboard, NATS, and TLS-secured Redis. - When you prefer a tool that does not enforce a human-in-the-loop approval process for AI actions, and you are comfortable with less stringent governance measures. ## 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 cordum and awesome-llm-apps? cordum: The action firewall for AI agents, enforcing policy and human approval before risky operations.. awesome-llm-apps: Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy.. See the comparison table for live GitHub stats and shared categories. ### When should I choose cordum over awesome-llm-apps? Choose cordum over awesome-llm-apps when cordum is primarily Go; awesome-llm-apps is Python; License: cordum is Other, awesome-llm-apps is Apache-2.0; Tags unique to cordum: agent-framework, ai-governance, audit-trail, human-in-the-loop; Also covers Evaluation & Observability; cordum ships Docker support for self-hosted deployment; When you need a framework that ensures human approval before AI agents execute risky operations, such as shell commands or production changes. ### When should I choose awesome-llm-apps over cordum? Choose awesome-llm-apps over cordum when awesome-llm-apps is primarily Python; cordum is Go; License: awesome-llm-apps is Apache-2.0, cordum is Other; Pricing: Free with open-source licensing, but commercial exploitation is allowed.; Tags unique to awesome-llm-apps: agents, applications, customizable, deployable; Also covers Data & Retrieval; When you need quick implementations of various real-world use cases for AI Agents and RAG. ### When should I avoid cordum? If you are looking for a solution that can be offered as a competing hosted service before January 1, 2029, as the current license restricts this use case. When your deployment environment does not meet the prerequisites for running Cordum, such as Docker Desktop v4+, Go 1.26.3+, and at least 4 GB of RAM. If your organization does not require a full stack setup including an API gateway, scheduler, safety kernel, workflow engine, context engine, dashboard, NATS, and TLS-secured Redis. When you prefer a tool that does not enforce a human-in-the-loop approval process for AI actions, and you are comfortable with less stringent governance measures. ### 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 cordum or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (136,444 vs 507). Stars measure visibility, not whether either tool fits your constraints. ### Are cordum and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (cordum: Other, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to cordum or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [cordum alternatives](/tools/cordum-io-cordum/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([cordum markdown twin](/tools/cordum-io-cordum/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/cordum-io-cordum-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, cordum or awesome-llm-apps? cordum: Very active. 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 cordum and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [cordum trust report](/tools/cordum-io-cordum/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=cordum-io-cordum`](/api/graphcanon/graph?tool=cordum-io-cordum) - 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/_