RRepoGEO

REPOGEO REPORT · LITE

umputun/ralphex

Default branch master · commit 5d07e2b5 · scanned 5/20/2026, 1:22:08 PM

GitHub: 1,166 stars · 89 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 umputun/ralphex, 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
  • highabout#1
    Reposition the 'About' description to clarify its AI agent role and explicitly deny the reverse proxy miscategorization

    Why:

    CURRENT
    Extended Ralph loop for autonomous AI-driven plan execution
    COPY-PASTE FIX
    Autonomous AI agent for code plan execution, managing Claude Code context to prevent degradation. Not a reverse proxy.
  • hightopics#2
    Add high-signal topics related to AI agents and orchestration, and remove the low-signal 'ralph-wiggum' topic

    Why:

    CURRENT
    automation, claude-code, codex, ralph-loop, ralph-wiggum, review
    COPY-PASTE FIX
    automation, claude-code, codex, ralph-loop, review, ai-agent, llm-orchestration, autonomous-ai, code-generation-agent
  • mediumreadme#3
    Reinforce the project's identity as an 'autonomous AI agent' in the README's opening sentence

    Why:

    CURRENT
    ralphex is a standalone CLI tool that runs in your terminal from the root of a git repository. It orchestrates Claude Code to execute implementation plans autonomously - no IDE plugins or cloud services required, just Claude Code and a single binary.
    COPY-PASTE FIX
    ralphex is an autonomous AI agent, a standalone CLI tool that runs in your terminal from the root of a git repository. It orchestrates Claude Code to execute implementation plans autonomously - no IDE plugins or cloud services required, just Claude Code and a single binary.

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 umputun/ralphex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. AutoGPT · recommended 1×
  3. BabyAGI · recommended 1×
  4. Jupyter Notebooks · recommended 1×
  5. Papermill · recommended 1×
  • CATEGORY QUERY
    How to autonomously execute AI-generated code plans without constant supervision?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. BabyAGI
    4. Jupyter Notebooks
    5. Papermill
    6. Elyra
    7. Prefect
    8. Apache Airflow
    9. Docker
    10. gVisor
    11. Firecracker
    12. OpenAI's Code Interpreter

    AI recommended 12 alternatives but never named umputun/ralphex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to manage AI context and prevent degradation during extended code generation tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Semantic Kernel
    5. MemGPT
    6. Guidance
    7. Instructor

    AI recommended 7 alternatives but never named umputun/ralphex. 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 umputun/ralphex?
    pass
    AI named umputun/ralphex explicitly

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

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

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

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umputun/ralphex — 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