RRepoGEO

REPOGEO REPORT · LITE

SWE-agent/mini-swe-agent

Default branch main · commit d0e3c19f · scanned 6/24/2026, 10:31:37 PM

GitHub: 5,396 stars · 738 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)

3 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 SWE-agent/mini-swe-agent, 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 problem statement immediately after the README H1

    Why:

    COPY-PASTE FIX
    The 100-line AI agent that solves GitHub issues or helps you in your command line. Radically simple, no huge configs, no giant monorepo—but scores >74% on SWE-bench verified!
  • mediumtopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    agent, agentic-ai, agentic-ai-cli, ai, ai-agent, textual
    COPY-PASTE FIX
    agent, agentic-ai, agentic-ai-cli, ai, ai-agent, textual, github-automation, issue-resolution, software-engineering-agent, dev-tools, cli-automation, bug-fixing
  • lowreadme#3
    Add a brief comparison to common alternatives in the README

    Why:

    COPY-PASTE FIX
    ### How is mini-swe-agent different?
Unlike general code assistants (e.g., GitHub Copilot) or large language models (e.g., ChatGPT), mini-swe-agent is an autonomous AI agent specifically designed to *solve* GitHub issues and automate complex command-line development workflows end-to-end, rather than just providing suggestions or completions.

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 SWE-agent/mini-swe-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
GitHub Copilot for Business
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. GitHub Copilot for Business · recommended 1×
  2. Zapier · recommended 1×
  3. OpenAI/ChatGPT · recommended 1×
  4. ActiveLoop · recommended 1×
  5. Llama 3 · recommended 1×
  • CATEGORY QUERY
    Looking for a lightweight AI agent to automate GitHub issue resolution efficiently.
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Business
    2. Zapier
    3. OpenAI/ChatGPT
    4. ActiveLoop
    5. Llama 3
    6. Mend Renovate
    7. Linear
    8. CodiumAI

    AI recommended 8 alternatives but never named SWE-agent/mini-swe-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are simple, high-performing AI tools for automating command-line development workflows?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot CLI (github/copilot-cli)
    2. Fig AI (withfig/fig)
    3. OpenAI API
    4. Tabnine (codota/Tabnine)
    5. ShellGPT (akl7777777/ShellGPT)

    AI recommended 5 alternatives but never named SWE-agent/mini-swe-agent. 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 SWE-agent/mini-swe-agent?
    pass
    AI named SWE-agent/mini-swe-agent explicitly

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

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

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

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SWE-agent/mini-swe-agent — 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