RRepoGEO

REPOGEO REPORT · LITE

czl9707/build-your-own-openclaw

Default branch main · commit 1171be7d · scanned 6/20/2026, 2:17:42 AM

GitHub: 1,740 stars · 308 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
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 czl9707/build-your-own-openclaw, 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 README H1 and opening paragraph to clarify AI agent domain

    Why:

    CURRENT
    # Build Your Own OpenClaw

A step-by-step tutorial to build your own AI agent, from a simple chat loop to a lightweight version of OpenClaw.
    COPY-PASTE FIX
    # Build Your Own AI Agent: A Step-by-Step Tutorial (NOT a Robotic Claw)

This repository provides a comprehensive, hands-on guide for developers, students, and hobbyists to build their own AI agent from scratch using Python. Learn to implement core features like chat loops, tools, skills, persistence, and web access, culminating in a lightweight version of OpenClaw. This tutorial focuses on software agents, not physical robotics.
  • mediumreadme#2
    Add a comparison section to the README

    Why:

    COPY-PASTE FIX
    ## Why Build Your Own? (Compared to Frameworks like LangChain/LlamaIndex)

While frameworks like LangChain and LlamaIndex offer powerful abstractions for building AI agents quickly, this tutorial focuses on understanding the underlying mechanics. By building an agent from scratch, you gain deep insights into:

- **Core Agent Architecture:** How chat loops, tool invocation, memory management, and skill integration truly work.
- **Customization & Control:** The ability to tailor every component without framework limitations.
- **Educational Value:** A hands-on learning experience that complements high-level framework usage.
  • lowtopics#3
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    ai-agent, build-your-own-x, llm, python, tutorial
    COPY-PASTE FIX
    ai-agent, build-your-own-x, llm, python, tutorial, agent-architecture, tool-use, memory-management, event-driven-architecture, ai-tutorial, python-tutorial

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 czl9707/build-your-own-openclaw
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. Hugging Face Transformers · recommended 1×
  4. OpenAI Python Library · recommended 1×
  5. FastAPI · recommended 1×
  • CATEGORY QUERY
    How can I learn to build a custom AI agent from scratch using Python?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers
    4. OpenAI Python Library
    5. FastAPI
    6. Scikit-learn
    7. PyTorch
    8. TensorFlow

    AI recommended 8 alternatives but never named czl9707/build-your-own-openclaw. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good tutorials for developing an LLM agent with tools, memory, and web access?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. DeepLearning.AI
    4. OpenAI
    5. Hugging Face transformers
    6. AutoGen

    AI recommended 6 alternatives but never named czl9707/build-your-own-openclaw. 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 czl9707/build-your-own-openclaw?
    pass
    AI did not name czl9707/build-your-own-openclaw — 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 czl9707/build-your-own-openclaw in production, what risks or prerequisites should they evaluate first?
    pass
    AI named czl9707/build-your-own-openclaw 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 czl9707/build-your-own-openclaw solve, and who is the primary audience?
    pass
    AI did not name czl9707/build-your-own-openclaw — 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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czl9707/build-your-own-openclaw — 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