RRepoGEO

REPOGEO REPORT · LITE

mostlygeek/llama-swap

Default branch main · commit e261745c · scanned 5/8/2026, 10:56:54 AM

GitHub: 3,891 stars · 300 forks

AI VISIBILITY SCORE
35 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
3 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

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 mostlygeek/llama-swap, 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.

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening statement to clarify its role as an API proxy/gateway

    Why:

    CURRENT
    # llama-swap

Run multiple generative AI models on your machine and hot-swap between them on demand. llama-swap works with any OpenAI and Anthropic API compatible server and is used by thousands of people to power their local AI workflows.
    COPY-PASTE FIX
    # llama-swap

**llama-swap is a lightweight, zero-dependency API proxy and gateway for local generative AI inference servers.** It enables seamless hot-swapping between multiple OpenAI and Anthropic API compatible backends (like llama.cpp, vllm, etc.) on demand, routing client requests to the active model. Used by thousands to power local AI workflows, it acts as a single endpoint for all your local LLM and image generation needs.
  • mediumtopics#2
    Add more specific API gateway and proxy-related topics

    Why:

    CURRENT
    golang, llama, llamacpp, localllama, localllm, openai, openai-api, vllm
    COPY-PASTE FIX
    golang, llama, llamacpp, localllama, localllm, openai, openai-api, vllm, api-gateway, api-proxy, llm-proxy, model-router, inference-proxy, hot-swapping, load-balancing
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    https://github.com/mostlygeek/llama-swap

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.

Recall
0 / 2
0% of queries surface mostlygeek/llama-swap
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Ollama
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Ollama · recommended 1×
  2. LM Studio · recommended 1×
  3. LocalAI · recommended 1×
  4. Jan · recommended 1×
  5. Hugging Face Transformers Library · recommended 1×
  • CATEGORY QUERY
    How to easily switch between different local generative AI models for development?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LM Studio
    3. LocalAI
    4. Jan
    5. Hugging Face Transformers Library
    6. vLLM

    AI recommended 6 alternatives but never named mostlygeek/llama-swap. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a local API gateway to manage and route requests to various LLM inference servers.
    you: not recommended
    AI recommended (in order):
    1. Kong Gateway (Kong/kong)
    2. Apache APISIX (apache/apisix)
    3. NGINX Plus
    4. NGINX Open Source (nginx/nginx)
    5. Envoy Proxy (envoyproxy/envoy)
    6. Tyk API Gateway (TykTechnologies/tyk)

    AI recommended 6 alternatives but never named mostlygeek/llama-swap. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

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 mostlygeek/llama-swap?
    pass
    AI named mostlygeek/llama-swap explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts mostlygeek/llama-swap in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mostlygeek/llama-swap 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 mostlygeek/llama-swap solve, and who is the primary audience?
    pass
    AI named mostlygeek/llama-swap explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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mostlygeek/llama-swap — 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