--- title: "agentset vs Lumos" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/agentset-ai-agentset-vs-andrewnguonly-lumos" tools: ["agentset-ai-agentset", "andrewnguonly-lumos"] --- # agentset vs Lumos *GraphCanon updated Sep 20, 2026* ## Verdict Pick agentset if agentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management; pick Lumos if lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. [agentset](https://agentset.ai) reports 2.1k GitHub stars, 187 forks, and 16 open issues, last pushed Jul 16, 2026. [Lumos](https://github.com/andrewnguonly/Lumos) has 1.5k stars, 111 forks, and 24 open issues, last pushed Jan 26, 2025. Figures are from public GitHub metadata via [agentset's repository](https://github.com/agentset-ai/agentset) and [Lumos's repository](https://github.com/andrewnguonly/Lumos). | | [agentset](/tools/agentset-ai-agentset.md) | [Lumos](/tools/andrewnguonly-lumos.md) | | --- | --- | --- | | Tagline | The open-source RAG platform with built-in citations and support for deep research | A RAG LLM co-pilot for browsing the web | | Stars | 2,092 | 1,513 | | Forks | 187 | 111 | | Open issues | 16 | 24 | | Language | TypeScript | TypeScript | | Adopt for | AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. | Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. | | Persona | - | - | | Runtime | - | - | | License | AgentSet operates under the MIT License, allowing for broad usage and modification rights. | MIT | | Categories | AI Agents, Data & Retrieval | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [agentset](/tools/agentset-ai-agentset.md) | [Lumos](/tools/andrewnguonly-lumos.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Dormant (18%) | | Days since push | 65d | 601d | | Open issues (now) | 16 | 24 | | Stars delta | +57 (30d) | -3 (30d) | | Open issues delta | +3 (30d) | 0 (30d) | | Owner type | Organization | User | | Full report | [trust report](/tools/agentset-ai-agentset/trust.md) | [trust report](/tools/andrewnguonly-lumos/trust.md) | ## Decision facts: agentset - **Pricing:** freemium - Free to use as it is open-source. - **Requirements:** Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities. - **Adopt for:** AgentSet is a Retrieval-Augmented Generation (RAG) platform emphasizing built-in citations and support for deep research. It's designed to handle diverse file formats while ensuring effective memory management. - **License detail:** AgentSet operates under the MIT License, allowing for broad usage and modification rights. ## Decision facts: Lumos - **Requirements:** Ensure that your environment supports Docker to run the Ollama server as required for Lumos operation.; Your development workflow should be prepared to integrate a Chrome extension, considering you need to load unpacked extensions into Chrome. - **Adopt for:** Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. - **License detail:** MIT ## Choose when ### Choose agentset if… - Pricing: Free to use as it is open-source.. - Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.. - Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management. - Also covers AI Agents. - - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### Choose Lumos if… - Requirements: Ensure that your environment supports Docker to run the Ollama server as required for Lumos operation.; Your development workflow should be prepared to integrate a Chrome extension, considering you need to load unpacked extensions into Chrome.. - Tags unique to Lumos: chrome-extension, langchain, langchain-js, llm. - Also covers LLM Frameworks. - Use Lumos when your task involves heavy web navigation and requires interaction with the latest local machine learning models directly from a browser. ## When NOT to use agentset - - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ## When NOT to use Lumos - Avoid using Lumos when your primary task does not involve browsing the web or requires a standalone application interface that does not need browser augmentation. - Do not use this tool if you are looking for support in languages other than TypeScript, as it is specifically built around this language. ## Common questions ### What is the difference between agentset and Lumos? agentset: The open-source RAG platform with built-in citations and support for deep research. Lumos: A RAG LLM co-pilot for browsing the web. See the comparison table for live GitHub stats and shared categories. ### When should I choose agentset over Lumos? Choose agentset over Lumos when Pricing: Free to use as it is open-source.; Requirements: Primarily developed in TypeScript.; Best used with an understanding of Retrieval-Augmented Generation and AI agent functionalities.; Tags unique to agentset: agentic-rag, ai-agents, embeddings, memory-management; Also covers AI Agents; - Use AgentSet when you require deep integration with multiple file types including over 22 supported formats. ### When should I choose Lumos over agentset? Choose Lumos over agentset when Requirements: Ensure that your environment supports Docker to run the Ollama server as required for Lumos operation.; Your development workflow should be prepared to integrate a Chrome extension, considering you need to load unpacked extensions into Chrome.; Tags unique to Lumos: chrome-extension, langchain, langchain-js, llm; Also covers LLM Frameworks; Use Lumos when your task involves heavy web navigation and requires interaction with the latest local machine learning models directly from a browser. ### When should I avoid agentset? - Avoid selecting AgentSet if your application does not benefit from or necessitate support for a wide array of file types, as its complexity might overwhelm simpler use-cases. - If seamless integration with third-party citation services is more preferred, another tool might be better suited since AgentSet focuses on built-in citation capabilities. ### When should I avoid Lumos? Avoid using Lumos when your primary task does not involve browsing the web or requires a standalone application interface that does not need browser augmentation. Do not use this tool if you are looking for support in languages other than TypeScript, as it is specifically built around this language. ### Is agentset or Lumos more popular on GitHub? agentset has more GitHub stars (2,092 vs 1,513). Stars measure visibility, not whether either tool fits your constraints. ### Are agentset and Lumos open source? Yes - both are open-source projects on GitHub (agentset: MIT, Lumos: MIT). ### Where can I find alternatives to agentset or Lumos? GraphCanon lists graph-backed alternatives at [agentset alternatives](/tools/agentset-ai-agentset/alternatives) and [Lumos alternatives](/tools/andrewnguonly-lumos/alternatives) ([agentset markdown twin](/tools/agentset-ai-agentset/alternatives.md), [Lumos markdown twin](/tools/andrewnguonly-lumos/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/agentset-ai-agentset-vs-andrewnguonly-lumos.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, agentset or Lumos? agentset: Steady. Lumos: Dormant. 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 agentset and Lumos? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [agentset trust report](/tools/agentset-ai-agentset/trust); [Lumos trust report](/tools/andrewnguonly-lumos/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=agentset-ai-agentset`](/api/graphcanon/graph?tool=agentset-ai-agentset) - 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/_