RRepoGEO

REPOGEO REPORT · LITE

kuse-ai/kuse_cowork

Default branch main · commit 6720f818 · scanned 6/9/2026, 9:42:59 PM

GitHub: 730 stars · 105 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
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 kuse-ai/kuse_cowork, 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 clarify it's a desktop application, not a framework

    Why:

    CURRENT
    # Kuse Cowork：An Open-Source, Model-Agnostic Alternative to Claude Cowork
>Kuse Cowork is a lightweight, open-source desktop cowork agent built for people who want local-first execution, full model freedom, and real privacy control.
    COPY-PASTE FIX
    # Kuse Cowork: Your Private, Open-Source Desktop AI Assistant & Cowork Agent (Alternative to Claude Cowork)
>Kuse Cowork is a lightweight, open-source desktop application that acts as a personal AI cowork agent, built for people who want local-first execution, full model freedom, and real privacy control. It is *not* a framework for building agents, but a ready-to-use application.
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    desktop-app, ai-assistant, local-llm, privacy, rust, agent, cross-platform, model-agnostic, claude-alternative
  • mediumreadme#3
    Add a 'What It Is (and Is Not)' section to the README

    Why:

    COPY-PASTE FIX
    ## Kuse Cowork: What It Is (and Is Not)
Kuse Cowork is a standalone, user-facing desktop application that *is* your personal AI cowork agent. It is designed for direct interaction and local execution.
It is *not* a library or framework for building new AI agents or multi-agent systems. While it supports extensible skills, these are for enhancing *this application's* capabilities, not for developing new agent applications.

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 kuse-ai/kuse_cowork
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
janhq/jan
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. janhq/jan · recommended 1×
  2. lmstudio-ai/lmstudio · recommended 1×
  3. nomic-ai/gpt4all · recommended 1×
  4. ollama/ollama · recommended 1×
  5. go-skynet/LocalAI · recommended 1×
  • CATEGORY QUERY
    Looking for an open-source desktop AI assistant with local model support and strong privacy.
    you: not recommended
    AI recommended (in order):
    1. Jan (janhq/jan)
    2. LM Studio (lmstudio-ai/lmstudio)
    3. GPT4All (nomic-ai/gpt4all)
    4. Ollama (ollama/ollama)
    5. LocalAI (go-skynet/LocalAI)

    AI recommended 5 alternatives but never named kuse-ai/kuse_cowork. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are some cross-platform AI agent frameworks written in Rust for local execution?
    you: not recommended
    AI recommended (in order):
    1. llama.cpp (ggerganov/llama.cpp)
    2. llama-rs (rustformers/llama-rs)
    3. llm (rust-llm/llm)
    4. Candle (huggingface/candle)
    5. Tch-rs (LaurentMazare/tch-rs)
    6. Rustformers (rustformers/rustformers)
    7. Rusty-llama (rust-llama/rusty-llama)

    AI recommended 7 alternatives but never named kuse-ai/kuse_cowork. 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 kuse-ai/kuse_cowork?
    pass
    AI named kuse-ai/kuse_cowork explicitly

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

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

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

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kuse-ai/kuse_cowork — 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