--- title: "oasis vs awesome-llm-apps" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/camel-ai-oasis-vs-shubhamsaboo-awesome-llm-apps" tools: ["camel-ai-oasis", "shubhamsaboo-awesome-llm-apps"] --- # oasis vs awesome-llm-apps *GraphCanon updated Aug 17, 2026* ## Verdict Pick oasis if oASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP; 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. [oasis](https://docs.oasis.camel-ai.org/) reports 5.0k GitHub stars, 618 forks, and 56 open issues, last pushed Aug 14, 2026. [awesome-llm-apps](https://www.theunwindai.com) has 131k stars, 19k forks, and 13 open issues, last pushed Aug 3, 2026. Figures are from public GitHub metadata via [oasis's repository](https://github.com/camel-ai/oasis) and [awesome-llm-apps's repository](https://github.com/Shubhamsaboo/awesome-llm-apps). | | [oasis](/tools/camel-ai-oasis.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Tagline | OASIS: Open Agent Social Interaction Simulations with One Million Agents | Over 100 runnable AI Agent and RAG apps to clone, tweak, and deploy. | | Stars | 5,031 | 131,230 | | Forks | 618 | 19,346 | | Open issues | 56 | 13 | | Language | Python | Python | | Adopt for | OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP. | 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 | Apache-2.0 | 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, Model Training | AI Agents, Data & Retrieval | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [oasis](/tools/camel-ai-oasis.md) | [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) | | --- | --- | --- | | Days since push | 2d | 4d | | Open issues (now) | 56 | 13 | | Stars delta | +93 (30d) | +14k (30d) | | Open issues delta | -1 (30d) | +6 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/camel-ai-oasis/trust.md) | [trust report](/tools/shubhamsaboo-awesome-llm-apps/trust.md) | ## Shared compatibility - **Python**: [oasis](/tools/camel-ai-oasis.md) - Python runtime; [awesome-llm-apps](/tools/shubhamsaboo-awesome-llm-apps.md) - Python runtime ## Decision facts: oasis - **Adopt for:** OASIS is tailored for simulating large-scale AI societies using deep learning, LLMs, and NLP. ## 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 oasis if… - Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning. - Also covers Model Training. - When modeling complex interactions among millions of agents is necessary ### Choose awesome-llm-apps if… - 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 oasis - If you require customization beyond what LLMs and NLP provide within the framework - In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag ## 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 oasis and awesome-llm-apps? oasis: OASIS: Open Agent Social Interaction Simulations with One Million Agents. 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 oasis over awesome-llm-apps? Choose oasis over awesome-llm-apps when Tags unique to oasis: agent-based-framework, agent-based-simulation, ai-societies, deep-learning; Also covers Model Training; When modeling complex interactions among millions of agents is necessary. ### When should I choose awesome-llm-apps over oasis? Choose awesome-llm-apps over oasis when 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 oasis? If you require customization beyond what LLMs and NLP provide within the framework In scenarios where real-time agent interaction response speed is critical, as simulation may introduce lag ### 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 oasis or awesome-llm-apps more popular on GitHub? awesome-llm-apps has more GitHub stars (131,230 vs 5,031). Stars measure visibility, not whether either tool fits your constraints. ### Are oasis and awesome-llm-apps open source? Yes - both are open-source projects on GitHub (oasis: Apache-2.0, awesome-llm-apps: Apache-2.0). ### Where can I find alternatives to oasis or awesome-llm-apps? GraphCanon lists graph-backed alternatives at [oasis alternatives](/tools/camel-ai-oasis/alternatives) and [awesome-llm-apps alternatives](/tools/shubhamsaboo-awesome-llm-apps/alternatives) ([oasis markdown twin](/tools/camel-ai-oasis/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/camel-ai-oasis-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, oasis or awesome-llm-apps? oasis: 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 oasis and awesome-llm-apps? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [oasis trust report](/tools/camel-ai-oasis/trust); [awesome-llm-apps trust report](/tools/shubhamsaboo-awesome-llm-apps/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=camel-ai-oasis`](/api/graphcanon/graph?tool=camel-ai-oasis) - 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/_