RRepoGEO

REPOGEO REPORT · LITE

MaxGfeller/open-harness

Default branch main · commit c45c9343 · scanned 6/11/2026, 1:32:08 AM

GitHub: 564 stars · 95 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 MaxGfeller/open-harness, 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 to highlight 'code-first, self-hostable SDK'

    Why:

    CURRENT
    # OpenHarness

Build capable, general-purpose AI agents in code. Based on Vercel's AI SDK, inspired by Claude Code, Codex, and similar agent harnesses.
    COPY-PASTE FIX
    # OpenHarness: A Code-First, Self-Hostable SDK for Building Powerful AI Agents

Build capable, general-purpose AI agents in code with OpenHarness, a composable and self-hostable SDK. Inspired by Vercel's AI SDK, Claude Code, and Codex, OpenHarness provides a robust foundation for agent development, tool integration, and UI streaming.
  • mediumtopics#2
    Expand repository topics with more specific keywords

    Why:

    CURRENT
    agents, agentskills, ai, ai-agents, mcp
    COPY-PASTE FIX
    agents, agentskills, ai, ai-agents, mcp, sdk, framework, typescript, javascript, react, vue, tool-use, orchestration, agent-framework, ai-sdk
  • lowreadme#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

OpenHarness differentiates itself as a code-first, self-hostable SDK for AI agents, offering deep integration with web UI components (React, Vue) and a focus on composability. Unlike many proprietary SaaS solutions or purely library-based approaches, OpenHarness provides a complete, open-source platform experience for running and evaluating LLMs with robust sandboxing capabilities.

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 MaxGfeller/open-harness
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack by deepset · recommended 1×
  5. AutoGPT · recommended 1×
  • CATEGORY QUERY
    How to programmatically build powerful AI agents with custom tools and state management?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack by deepset
    5. AutoGPT
    6. CrewAI

    AI recommended 6 alternatives but never named MaxGfeller/open-harness. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a composable SDK to develop intelligent AI agents with web UI components.
    you: not recommended
    AI recommended (in order):
    1. LangChain.js (langchain-ai/langchainjs)
    2. Next.js (vercel/next.js)
    3. React (facebook/react)
    4. LlamaIndex.TS (run-llama/LlamaIndexTS)
    5. Haystack (deepset-ai/haystack)
    6. Streamlit (streamlit/streamlit)
    7. Gradio (gradio-app/gradio)
    8. OpenAI Assistants API
    9. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    10. Blazor (dotnet/aspnetcore)
    11. Agent Protocol
    12. Node.js (nodejs/node)
    13. Express (expressjs/express)
    14. Python (python/cpython)
    15. FastAPI (tiangolo/fastapi)

    AI recommended 15 alternatives but never named MaxGfeller/open-harness. 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 MaxGfeller/open-harness?
    pass
    AI did not name MaxGfeller/open-harness — 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 MaxGfeller/open-harness in production, what risks or prerequisites should they evaluate first?
    pass
    AI named MaxGfeller/open-harness 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 MaxGfeller/open-harness solve, and who is the primary audience?
    pass
    AI did not name MaxGfeller/open-harness — 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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MaxGfeller/open-harness — 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