Comparison
Lumos vs RAGLight
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 RAGLight if rAGLight emerges as an adaptable framework for Retrieval-Augmented Generation, offering integration flexibility with multiple LLMs and external tools through MCP.
Markdown twin · Lumos alternatives · RAGLight alternatives
GraphCanon updated 1d
vs
Trust & integrity
| Signal | Lumos | RAGLight |
|---|---|---|
| Maintenance | Dormant (564d since push) As of 1w · github_public_v1 | Steady (57d since push) As of 1d · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1w · github_public_v1 | Not a fork · Personal account As of 1d · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No lockfile (source not queried) As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- Lumos
- A RAG LLM co-pilot for browsing the web
- RAGLight
- A modular framework for Retrieval-Augmented Generation that supports integration with various LLMs and external tools.
Stars
- Lumos
- 1.5k
- RAGLight
- 670
Forks
- Lumos
- 112
- RAGLight
- 101
Open issues
- Lumos
- 24
- RAGLight
- 12
Language
- Lumos
- TypeScript
- RAGLight
- Python
Adopt for
- Lumos
- Lumos is a RAG LLM co-pilot that operates within Chrome and leverages local language models to support web browsing with automation.
- RAGLight
- RAGLight emerges as an adaptable framework for Retrieval-Augmented Generation, offering integration flexibility with multiple LLMs and external tools through MCP.
Persona
- Lumos
- -
- RAGLight
- -
Runtime
- Lumos
- -
- RAGLight
- -
License
- Lumos
- MIT
- RAGLight
- MIT
Last pushed
- Lumos
- Jan 26, 2025
- RAGLight
- Jun 25, 2026
Categories
- Lumos
- Data & Retrieval, LLM Frameworks
- RAGLight
- AI Agents, Data & Retrieval
Trust and health
Maintenance
- Lumos
- Dormant (18%)
- RAGLight
- Steady (60%)
Days since push
- Lumos
- 564d
- RAGLight
- 57d
Open issues (now)
- Lumos
- 24
- RAGLight
- 12
Stars delta
- Lumos
- +1 (30d)
- RAGLight
- 0 (30d)
Full report
- Lumos
- Trust report
- RAGLight
- Trust report
Choose Lumos if…
- Lumos is primarily TypeScript; RAGLight 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.
- 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 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.
Choose RAGLight if…
- RAGLight is primarily Python; Lumos is TypeScript.
- Tags unique to RAGLight: agentic-ai, data-science, framework, huggingface.
- Also covers AI Agents.
- When you require seamless integration with various Language Models (LLMs) like Hugging Face or OpenAI models, making RAGLight a suitable choice for diverse model environments.
When NOT to use RAGLight
- Avoid using RAGLight if your workflow strictly demands proprietary integration methods that are not supported by its modular framework structure.
- If the project focuses on a specific LLM without the need for flexibility or interchangeability, the overhead of configuring diverse integrations in RAGLight might be unnecessary.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (andrewnguonly/Lumos) · observed Aug 14, 2026
- GitHub forks (andrewnguonly/Lumos) · observed Aug 14, 2026
- Last push (andrewnguonly/Lumos) · observed Jan 26, 2025
- License file (MIT) · observed Aug 14, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 15, 2026
- GitHub stars (Bessouat40/RAGLight) · observed Aug 22, 2026
- GitHub forks (Bessouat40/RAGLight) · observed Aug 22, 2026
- Last push (Bessouat40/RAGLight) · observed Jun 25, 2026
- License file (MIT) · observed Aug 22, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: Lumos 1.5k · RAGLight 670 (synced Aug 14, 2026).
Common questions
- What is the difference between Lumos and RAGLight?
- Lumos: A RAG LLM co-pilot for browsing the web. RAGLight: A modular framework for Retrieval-Augmented Generation that supports integration with various LLMs and external tools.. See the comparison table for live GitHub stats and shared categories.
- When should I choose Lumos over RAGLight?
- Choose Lumos over RAGLight when Lumos is primarily TypeScript; RAGLight 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; 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 choose RAGLight over Lumos?
- Choose RAGLight over Lumos when RAGLight is primarily Python; Lumos is TypeScript; Tags unique to RAGLight: agentic-ai, data-science, framework, huggingface; Also covers AI Agents; When you require seamless integration with various Language Models (LLMs) like Hugging Face or OpenAI models, making RAGLight a suitable choice for diverse model environments.
- 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 RAGLight?
- Avoid using RAGLight if your workflow strictly demands proprietary integration methods that are not supported by its modular framework structure. If the project focuses on a specific LLM without the need for flexibility or interchangeability, the overhead of configuring diverse integrations in RAGLight might be unnecessary.
- Is Lumos or RAGLight more popular on GitHub?
- Lumos has more GitHub stars (1,516 vs 670). Stars measure visibility, not whether either tool fits your constraints.
- Are Lumos and RAGLight open source?
- Yes - both are open-source projects on GitHub (Lumos: MIT, RAGLight: MIT).
- Where can I find alternatives to Lumos or RAGLight?
- GraphCanon lists graph-backed alternatives at Lumos alternatives and RAGLight alternatives (Lumos markdown twin, RAGLight markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, Lumos or RAGLight?
- Lumos: Dormant. RAGLight: 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 RAGLight?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: Lumos trust report; RAGLight trust report.