--- title: "Lumos vs graphrag-rs" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andrewnguonly-lumos-vs-automataia-graphrag-rs" tools: ["andrewnguonly-lumos", "automataia-graphrag-rs"] --- # Lumos vs graphrag-rs *GraphCanon updated Aug 23, 2026* ## Verdict 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; pick graphrag-rs if graphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. [Lumos](https://github.com/andrewnguonly/Lumos) reports 1.5k GitHub stars, 112 forks, and 24 open issues, last pushed Jan 26, 2025. [graphrag-rs](https://automataia.github.io/graphrag-rs/) has 526 stars, 50 forks, and 0 open issues, last pushed Jun 2, 2026. Figures are from public GitHub metadata via [Lumos's repository](https://github.com/andrewnguonly/Lumos) and [graphrag-rs's repository](https://github.com/automataIA/graphrag-rs). | | [Lumos](/tools/andrewnguonly-lumos.md) | [graphrag-rs](/tools/automataia-graphrag-rs.md) | | --- | --- | --- | | Tagline | A RAG LLM co-pilot for browsing the web | GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration. | | Stars | 1,516 | 526 | | Forks | 112 | 50 | | Open issues | 24 | 0 | | Language | TypeScript | Rust | | Adopt for | Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. | GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. | | Persona | - | - | | Runtime | - | - | | License | MIT | MIT | | Categories | Data & Retrieval, LLM Frameworks | Data & Retrieval, LLM Frameworks | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [Lumos](/tools/andrewnguonly-lumos.md) | [graphrag-rs](/tools/automataia-graphrag-rs.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Steady (60%) | | Days since push | 564d | 81d | | Open issues (now) | 24 | 0 | | Stars delta | +1 (30d) | +4 (30d) | | Full report | [trust report](/tools/andrewnguonly-lumos/trust.md) | [trust report](/tools/automataia-graphrag-rs/trust.md) | ## 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 ## Decision facts: graphrag-rs - **Adopt for:** GraphRAG-rs creates knowledge graphs from documents, enables natural language querying with customizable entity extraction and local LLM support, written in Rust. ## Choose when ### Choose Lumos if… - Lumos is primarily TypeScript; graphrag-rs is Rust. - 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, ollama. - Use Lumos when your task involves heavy web navigation and requires interaction with the latest local machine learning models directly from a browser. ### Choose graphrag-rs if… - graphrag-rs is primarily Rust; Lumos is TypeScript. - Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag. - Need Rust-based implementation for integration into existing Rust projects ## 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. ## When NOT to use graphrag-rs - Seeking solutions that offer cloud-hosted machine learning services directly - Projects that demand Python libraries due to ecosystem dependencies ## Common questions ### What is the difference between Lumos and graphrag-rs? Lumos: A RAG LLM co-pilot for browsing the web. graphrag-rs: GraphRAG-rs implements Graph-based Retrieval Augmented Generation for knowledge graph creation and natural language querying with entity extraction and LLM integration.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Lumos over graphrag-rs? Choose Lumos over graphrag-rs when Lumos is primarily TypeScript; graphrag-rs is Rust; 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, ollama; 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 choose graphrag-rs over Lumos? Choose graphrag-rs over Lumos when graphrag-rs is primarily Rust; Lumos is TypeScript; Tags unique to graphrag-rs: ai, embeddings, entity-extraction, graphrag; Need Rust-based implementation for integration into existing Rust projects. ### 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. ### When should I avoid graphrag-rs? Seeking solutions that offer cloud-hosted machine learning services directly Projects that demand Python libraries due to ecosystem dependencies ### Is Lumos or graphrag-rs more popular on GitHub? Lumos has more GitHub stars (1,516 vs 526). Stars measure visibility, not whether either tool fits your constraints. ### Are Lumos and graphrag-rs open source? Yes - both are open-source projects on GitHub (Lumos: MIT, graphrag-rs: MIT). ### Where can I find alternatives to Lumos or graphrag-rs? GraphCanon lists graph-backed alternatives at [Lumos alternatives](/tools/andrewnguonly-lumos/alternatives) and [graphrag-rs alternatives](/tools/automataia-graphrag-rs/alternatives) ([Lumos markdown twin](/tools/andrewnguonly-lumos/alternatives.md), [graphrag-rs markdown twin](/tools/automataia-graphrag-rs/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/andrewnguonly-lumos-vs-automataia-graphrag-rs.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Lumos or graphrag-rs? Lumos: Dormant. graphrag-rs: 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 Lumos and graphrag-rs? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Lumos trust report](/tools/andrewnguonly-lumos/trust); [graphrag-rs trust report](/tools/automataia-graphrag-rs/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=andrewnguonly-lumos`](/api/graphcanon/graph?tool=andrewnguonly-lumos) - 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/_