RRepoGEO

REPOGEO REPORT · LITE

entropy-research/Devon

Default branch main · commit 8f68f1d7 · scanned 5/21/2026, 11:17:39 PM

GitHub: 3,447 stars · 283 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 entropy-research/Devon, 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
    Add a concise, prominent value proposition to the README

    Why:

    CURRENT
    The README immediately follows the H1 with badges and then a section about shipping quickly, before installation.
    COPY-PASTE FIX
    Add the following paragraph immediately after the H1 (and before any badges or 'How do y'all ship so quickly?'):

Devon is an open-source, multi-agent AI software engineer designed for autonomous, end-to-end software development and DevOps tasks. It orchestrates specialized AI agents to handle complex coding, testing, and deployment workflows, acting as a true autonomous pair programmer.
  • mediumhomepage#2
    Add a homepage URL to the repository's About section

    Why:

    COPY-PASTE FIX
    https://devon.ai
  • mediumreadme#3
    Elaborate on Devon's multi-agent architecture and autonomous capabilities in the README

    Why:

    CURRENT
    The README excerpt does not explicitly detail the multi-agent architecture or autonomous capabilities beyond the initial description.
    COPY-PASTE FIX
    Add a new section (e.g., 'Key Features' or 'How Devon Works') to the README that expands on the multi-agent approach and autonomous capabilities. For example:

### Key Features

**Autonomous Multi-Agent Architecture:** Devon leverages a sophisticated multi-agent system where specialized AI agents collaborate seamlessly across the entire software development lifecycle. From understanding requirements and generating code to running tests and deploying applications, Devon handles complex tasks end-to-end without constant human intervention.

**End-to-End Development & DevOps:** Unlike single-task coding assistants, Devon is built to manage full development workflows, integrating with your existing tools and environments to automate not just coding, but also testing, debugging, and deployment processes.

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 entropy-research/Devon
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Cursor
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Cursor · recommended 2×
  2. Continue · recommended 2×
  3. Code Llama · recommended 1×
  4. Ollama · recommended 1×
  5. Auto-GPT · recommended 1×
  • CATEGORY QUERY
    What are some open-source AI tools for automating code generation and development tasks?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. Code Llama
    4. Ollama
    5. Auto-GPT
    6. smol-developer
    7. aider

    AI recommended 7 alternatives but never named entropy-research/Devon. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Are there any good AI coding assistants with VSCode integration for rapid development?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot
    2. Cursor
    3. Codeium
    4. Tabnine
    5. AWS CodeWhisperer
    6. Continue

    AI recommended 6 alternatives but never named entropy-research/Devon. 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 entropy-research/Devon?
    pass
    AI named entropy-research/Devon explicitly

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

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

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

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entropy-research/Devon — 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