--- title: "Lumos vs local-deep-research" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/andrewnguonly-lumos-vs-learningcircuit-local-deep-research" tools: ["andrewnguonly-lumos", "learningcircuit-local-deep-research"] --- # Lumos vs local-deep-research *GraphCanon updated Sep 20, 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 local-deep-research if for deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. [Lumos](https://github.com/andrewnguonly/Lumos) reports 1.5k GitHub stars, 111 forks, and 24 open issues, last pushed Jan 26, 2025. [local-deep-research](https://github.com/LearningCircuit/local-deep-research) has 9.1k stars, 824 forks, and 887 open issues, last pushed Sep 19, 2026. Figures are from public GitHub metadata via [Lumos's repository](https://github.com/andrewnguonly/Lumos) and [local-deep-research's repository](https://github.com/LearningCircuit/local-deep-research). | | [Lumos](/tools/andrewnguonly-lumos.md) | [local-deep-research](/tools/learningcircuit-local-deep-research.md) | | --- | --- | --- | | Tagline | A RAG LLM co-pilot for browsing the web | Supports local and cloud LLMs with encrypted search from diverse sources. | | Stars | 1,513 | 9,109 | | Forks | 111 | 824 | | Open issues | 24 | 887 | | Language | TypeScript | Python | | Adopt for | Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation. | For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. | | 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) | [local-deep-research](/tools/learningcircuit-local-deep-research.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 601d | 0d | | Open issues (now) | 24 | 887 | | Stars delta | -3 (30d) | +209 (30d) | | Open issues delta | 0 (30d) | +535 (30d) | | Full report | [trust report](/tools/andrewnguonly-lumos/trust.md) | [trust report](/tools/learningcircuit-local-deep-research/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: local-deep-research - **Adopt for:** For deep research locally encrypted, supports retrieval-augmented generation using diverse LLM frameworks on local GPU or cloud, searches through arXiv, PubMed, personal documents. ## Choose when ### Choose Lumos if… - Lumos is primarily TypeScript; local-deep-research is Python. - 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. - Use Lumos when your task involves heavy web navigation and requires interaction with the latest local machine learning models directly from a browser. ### Choose local-deep-research if… - local-deep-research is primarily Python; Lumos is TypeScript. - Tags unique to local-deep-research: academia, anthropic, arxiv, encryption. - local-deep-research ships Docker support for self-hosted deployment. - You need encryption for all data processing steps and want support for various sources like academic articles and personal files. ## 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 local-deep-research - If you require real-time collaboration features that are not supported by this tool's framework. - In scenarios where online connectivity is unreliable and external search engine support is considered critical. ## Common questions ### What is the difference between Lumos and local-deep-research? Lumos: A RAG LLM co-pilot for browsing the web. local-deep-research: Supports local and cloud LLMs with encrypted search from diverse sources.. See the comparison table for live GitHub stats and shared categories. ### When should I choose Lumos over local-deep-research? Choose Lumos over local-deep-research when Lumos is primarily TypeScript; local-deep-research is Python; 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; 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 local-deep-research over Lumos? Choose local-deep-research over Lumos when local-deep-research is primarily Python; Lumos is TypeScript; Tags unique to local-deep-research: academia, anthropic, arxiv, encryption; local-deep-research ships Docker support for self-hosted deployment; You need encryption for all data processing steps and want support for various sources like academic articles and personal files. ### 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 local-deep-research? If you require real-time collaboration features that are not supported by this tool's framework. In scenarios where online connectivity is unreliable and external search engine support is considered critical. ### Is Lumos or local-deep-research more popular on GitHub? local-deep-research has more GitHub stars (9,109 vs 1,513). Stars measure visibility, not whether either tool fits your constraints. ### Are Lumos and local-deep-research open source? Yes - both are open-source projects on GitHub (Lumos: MIT, local-deep-research: MIT). ### Where can I find alternatives to Lumos or local-deep-research? GraphCanon lists graph-backed alternatives at [Lumos alternatives](/tools/andrewnguonly-lumos/alternatives) and [local-deep-research alternatives](/tools/learningcircuit-local-deep-research/alternatives) ([Lumos markdown twin](/tools/andrewnguonly-lumos/alternatives.md), [local-deep-research markdown twin](/tools/learningcircuit-local-deep-research/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-learningcircuit-local-deep-research.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, Lumos or local-deep-research? Lumos: Dormant. local-deep-research: 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 Lumos and local-deep-research? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [Lumos trust report](/tools/andrewnguonly-lumos/trust); [local-deep-research trust report](/tools/learningcircuit-local-deep-research/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/_