RRepoGEO

REPOGEO REPORT · LITE

HarnessLab/claw-code-agent

Default branch main · commit 870c3c77 · scanned 6/12/2026, 10:18:03 AM

GitHub: 506 stars · 213 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 HarnessLab/claw-code-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
  • hightopics#1
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, ai-agents, python, local-llm, code-generation, agent-framework, zero-dependencies, claude-agent
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file (e.g., MIT, Apache-2.0, or GPL-3.0) in the root of the repository.
  • mediumabout#3
    Refine the repository description for clarity

    Why:

    CURRENT
    Claw Code No Rust No TypeScript Only Python. Easy to work with. Fast to iterate. 🔥 Zero external dependencies 🔥
    COPY-PASTE FIX
    A Python reimplementation of the Claude Code agent architecture for local models, offering full control and zero external dependencies.

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 HarnessLab/claw-code-agent
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
CrewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 1×
  2. AutoGen · recommended 1×
  3. LangChain · recommended 1×
  4. LlamaIndex · recommended 1×
  5. SimpleAI · recommended 1×
  • CATEGORY QUERY
    Looking for a Python library to run AI code agents locally with zero external dependencies.
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain
    4. LlamaIndex
    5. SimpleAI
    6. PyTorch
    7. TensorFlow
    8. Hugging Face Transformers

    AI recommended 8 alternatives but never named HarnessLab/claw-code-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement a custom AI coding agent architecture using local models and full control?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Ollama (ollama/ollama)
    3. Llama.cpp (ggerganov/llama.cpp)
    4. llama-cpp-python (abetlen/llama-cpp-python)
    5. VS Code API (microsoft/vscode)
    6. Language Server Protocol (LSP)
    7. GitPython (gitpython-developers/GitPython)
    8. Docker (moby/moby)
    9. pytest (pytest-dev/pytest)

    AI recommended 9 alternatives but never named HarnessLab/claw-code-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
    fail

    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 HarnessLab/claw-code-agent?
    pass
    AI named HarnessLab/claw-code-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 HarnessLab/claw-code-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named HarnessLab/claw-code-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 HarnessLab/claw-code-agent solve, and who is the primary audience?
    pass
    AI named HarnessLab/claw-code-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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HarnessLab/claw-code-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