RRepoGEO

REPOGEO REPORT · LITE

josStorer/RWKV-Runner

Default branch master · commit 64269f0a · scanned 5/21/2026, 1:02:22 PM

GitHub: 6,350 stars · 597 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 josStorer/RWKV-Runner, 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 README H1 and opening paragraph to emphasize its role as a local LLM runner

    Why:

    CURRENT
    <h1 align="center">RWKV Runner</h1>

<div align="center">

This project aims to eliminate the barriers of using large language models by automating everything for you. All you
need is a lightweight executable program of just a few megabytes. Additionally, this project provides an interface
compatible with the OpenAI API, which means that every ChatGPT client is an RWKV client.
    COPY-PASTE FIX
    <h1 align="center">RWKV Runner: Your Lightweight Local LLM Runner & Manager</h1>

<div align="center">

RWKV Runner is a lightweight, fully automated tool designed to simplify running and managing open-source large language models (LLMs) locally. It provides an interface compatible with the OpenAI API, enabling any ChatGPT client to seamlessly interact with your local LLMs. With just a few megabytes, it eliminates barriers to local LLM deployment.
  • hightopics#2
    Add specific topics for local LLM running and management

    Why:

    CURRENT
    api, api-client, chatgpt, llm, rwkv, tool, wails
    COPY-PASTE FIX
    api, api-client, chatgpt, llm, rwkv, tool, wails, local-llm, llm-runner, model-inference
  • mediumabout#3
    Refine repository description to highlight local LLM running and OpenAI API compatibility

    Why:

    CURRENT
    A RWKV management and startup tool, full automation, only 8MB. And provides an interface compatible with the OpenAI API. RWKV is a large language model that is fully open source and available for commercial use.
    COPY-PASTE FIX
    A lightweight, fully automated tool for running and managing open-source large language models (LLMs) locally, including RWKV. Provides an OpenAI API-compatible interface, making any ChatGPT client an LLM client.

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 josStorer/RWKV-Runner
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LM Studio
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LM Studio · recommended 2×
  2. ollama/ollama · recommended 2×
  3. janhq/jan · recommended 2×
  4. mudler/LocalAI · recommended 1×
  5. oobabooga/text-generation-webui · recommended 1×
  • CATEGORY QUERY
    How to run open source large language models locally with a ChatGPT-compatible interface?
    you: not recommended
    AI recommended (in order):
    1. LM Studio
    2. Ollama (ollama/ollama)
    3. Jan (janhq/jan)
    4. LocalAI (mudler/LocalAI)
    5. text-generation-webui (Oobabooga) (oobabooga/text-generation-webui)
    6. KoboldCpp (LostRuins/koboldcpp)

    AI recommended 6 alternatives but never named josStorer/RWKV-Runner. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need a lightweight tool to easily manage and run open source language models on my machine.
    you: not recommended
    AI recommended (in order):
    1. Ollama (ollama/ollama)
    2. LM Studio
    3. Jan (janhq/jan)
    4. llama.cpp (ggerganov/llama.cpp)
    5. LocalAI (go-skynet/LocalAI)

    AI recommended 5 alternatives but never named josStorer/RWKV-Runner. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 josStorer/RWKV-Runner?
    pass
    AI named josStorer/RWKV-Runner explicitly

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

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

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

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josStorer/RWKV-Runner — 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
josStorer/RWKV-Runner — RepoGEO report