RRepoGEO

REPOGEO REPORT · LITE

mergisi/awesome-openclaw-agents

Default branch main · commit 05820c51 · scanned 6/24/2026, 10:56:52 PM

GitHub: 3,723 stars · 607 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
27 /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
1 / 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 mergisi/awesome-openclaw-agents, 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
    Clarify README's opening to distinguish from AI agent frameworks

    Why:

    CURRENT
    > A curated collection of **205 production-ready AI agent templates** for the OpenClaw ecosystem. Every template is a copy-paste ready SOUL.md file.
    COPY-PASTE FIX
    > A curated collection of **205 production-ready AI agent templates** for the OpenClaw ecosystem. Unlike agent frameworks, this repository provides **copy-paste ready SOUL.md files** for immediate deployment, allowing you to skip extensive coding and configuration.
  • mediumabout#2
    Update description to reflect current agent count and clarify value proposition

    Why:

    CURRENT
    162 production-ready AI agent templates for OpenClaw. SOUL.md configs across 19 categories. Submit yours!
    COPY-PASTE FIX
    205 production-ready AI agent templates for OpenClaw. Get copy-paste ready SOUL.md configs across 24 categories, designed for immediate deployment without extensive coding. Submit yours!
  • lowcomparison#3
    Add a 'How is this different from AI Agent Frameworks?' section to README

    Why:

    COPY-PASTE FIX
    ## How is this different from AI Agent Frameworks?
This repository offers **ready-to-deploy SOUL.md agent templates**, distinct from frameworks like LangChain or CrewAI which provide tools for building agents. We focus on **instant, copy-paste solutions** for immediate deployment.

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 mergisi/awesome-openclaw-agents
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. microsoft/semantic-kernel · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. Zapier NLA (Natural Language Actions) · recommended 1×
  • CATEGORY QUERY
    Where can I find production-ready AI agent templates for automating various business tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain Templates (langchain-ai/langchain)
    2. LlamaIndex (LlamaHub) (run-llama/llama_index)
    3. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    4. OpenAI Assistants API
    5. Zapier NLA (Natural Language Actions)
    6. Hugging Face Agents (Transformers Agents) (huggingface/transformers)

    AI recommended 6 alternatives but never named mergisi/awesome-openclaw-agents. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to quickly deploy pre-configured multi-agent AI systems without extensive coding?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. Autogen
    4. SuperAGI
    5. BabyAGI
    6. LlamaIndex
    7. Haystack

    AI recommended 7 alternatives but never named mergisi/awesome-openclaw-agents. 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 mergisi/awesome-openclaw-agents?
    pass
    AI did not name mergisi/awesome-openclaw-agents — likely talking about a different project

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

  • If a team adopts mergisi/awesome-openclaw-agents in production, what risks or prerequisites should they evaluate first?
    pass
    AI named mergisi/awesome-openclaw-agents 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 mergisi/awesome-openclaw-agents solve, and who is the primary audience?
    pass
    AI did not name mergisi/awesome-openclaw-agents — likely talking about a different project

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

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mergisi/awesome-openclaw-agents — 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