RRepoGEO

REPOGEO REPORT · LITE

agent-sh/agentsys

Default branch main · commit 542eb81c · scanned 6/17/2026, 6:36:32 AM

GitHub: 872 stars · 103 forks

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 agent-sh/agentsys, 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 the README's main tagline to highlight unique value

    Why:

    CURRENT
    A modular runtime and orchestration system for AI agents.
    COPY-PASTE FIX
    A lightweight, shell-centric orchestration system and marketplace for AI coding agents (Claude Code, OpenCode, Codex, Cursor, Kiro).
  • mediumabout#2
    Refine the 'About' description to emphasize orchestration and marketplace

    Why:

    CURRENT
    AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCode, Codex, Cursor, Kiro.
    COPY-PASTE FIX
    A lightweight, shell-centric orchestration system and marketplace for AI coding agents. Automates development workflows with 24 plugins, 49 agents, and 44 skills for Claude Code, OpenCode, Codex, Cursor, Kiro.
  • lowreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison
AgentSys differentiates itself from broader AI agent frameworks like LangChain and LlamaIndex by focusing on a lightweight, shell-centric approach specifically designed for AI coding agents. Unlike generic automation tools such as Ansible or SaltStack, AgentSys provides a dedicated marketplace and orchestration system tailored for integrating and managing plugins, agents, and skills across platforms like Claude Code, OpenCode, Codex, Cursor, and Kiro.

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 agent-sh/agentsys
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. LlamaIndex · recommended 2×
  3. GitHub Copilot / GitHub Copilot X · recommended 1×
  4. Cursor · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How can I automate code generation and development workflows using AI agents?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot / GitHub Copilot X
    2. Cursor
    3. OpenAI API
    4. LangChain
    5. LlamaIndex
    6. Replit AI / Ghostwriter
    7. Tabnine
    8. CodiumAI

    AI recommended 8 alternatives but never named agent-sh/agentsys. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a system to manage and orchestrate multiple AI coding agents with plugins.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. OpenAI Assistants API
    5. CrewAI
    6. Haystack
    7. Microsoft Semantic Kernel

    AI recommended 7 alternatives but never named agent-sh/agentsys. 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 agent-sh/agentsys?
    pass
    AI named agent-sh/agentsys explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite