REPOGEO REPORT · LITE
fmaclen/hollama
Default branch main · commit 78c63850 · scanned 5/22/2026, 2:37:07 PM
GitHub: 1,148 stars · 87 forks
Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface fmaclen/hollama, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.
Action plan — copy-paste fixes
3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.
- highreadme#1Clarify Hollama's role as a client-side browser app in the README
Why:
CURRENTA minimal LLM chat app that runs _entirely_ in your browser.
COPY-PASTE FIXA minimal, **client-side** LLM chat app that runs _entirely_ in your browser. Hollama connects to existing Ollama or OpenAI servers, providing a rich UI for interaction, not serving models itself.
- mediumtopics#2Add more specific topics for browser-based client applications
Why:
CURRENTai, chatbot, llm, local-ai, ollama
COPY-PASTE FIXai, chatbot, llm, local-ai, ollama, web-app, browser-app, client-side, frontend
- lowreadme#3Add a 'Why Hollama?' section comparing it to alternatives
Why:
COPY-PASTE FIX## Why Hollama? [Add a brief comparison here, highlighting what makes Hollama unique compared to alternatives like LM Studio, Jan, or Ollama Web UI, focusing on its browser-based nature and multi-server support.]
Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash
Category visibility — the real GEO test
Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?
Same questions for every model — switch tabs to compare answers and rankings.
- LM Studio · recommended 2×
- Ollama · recommended 2×
- Jan · recommended 2×
- LocalAI · recommended 2×
- Ollama Web UI · recommended 1×
- CATEGORY QUERYWhat are good browser-based chat interfaces for interacting with local large language models?you: not recommendedAI recommended (in order):
- LM Studio
- Ollama
- Ollama Web UI
- Jan
- Text Generation WebUI (oobabooga/text-generation-webui)
- LocalAI
- Chatbot UI
- KoboldCpp
AI recommended 8 alternatives but never named fmaclen/hollama. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a desktop application to chat with various AI models offline with advanced features.you: not recommendedAI recommended (in order):
- LM Studio
- Ollama
- Jan
- LocalAI
- GPT4All
- KoboldAI Lite
- KoboldAI United
AI recommended 7 alternatives but never named fmaclen/hollama. This is the gap to close.
Show full AI answer
Objective checks
Rule-based audits of metadata signals AI engines weight most.
- Metadata completenesspass
- README presencepass
Self-mention check
Does AI even know your repo exists when asked about it directly?
- Compared to common alternatives in this category, what is the core differentiator of fmaclen/hollama?passAI named fmaclen/hollama explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts fmaclen/hollama in production, what risks or prerequisites should they evaluate first?passAI named fmaclen/hollama explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- In one sentence, what problem does the repo fmaclen/hollama solve, and who is the primary audience?passAI named fmaclen/hollama explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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fmaclen/hollama — Lite scans stay free; this card itemizes Pro deep limits vs Lite.
- Deep reports10 / month
- Brand-free category queries5 vs 2 in Lite
- Prioritized action items8 vs 3 in Lite