RRepoGEO

REPOGEO REPORT · LITE

ai-boost/awesome-harness-engineering

Default branch main · commit 37e385a9 · scanned 6/22/2026, 9:22:37 PM

GitHub: 1,977 stars · 208 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
33 /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
2 / 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 ai-boost/awesome-harness-engineering, 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
    Explicitly state "awesome list" in the README's opening paragraph.

    Why:

    CURRENT
    Curated resources, patterns, and templates for building reliable AI agent harnesses.
    COPY-PASTE FIX
    An awesome list of curated resources, patterns, and templates for building reliable AI agent harnesses.
  • mediumabout#2
    Update the repository description to explicitly include "awesome list".

    Why:

    CURRENT
    Awesome list for AI agent harness engineering: tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
    COPY-PASTE FIX
    An awesome list for AI agent harness engineering: curated tools, patterns, evals, memory, MCP, permissions, observability, and orchestration.
  • mediumreadme#3
    Add a clear statement about the repository's license(s) to the README.

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [License Name(s) or description of terms]. See the [LICENSE](LICENSE) file for details.

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 ai-boost/awesome-harness-engineering
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. Haystack · recommended 2×
  4. AutoGPT · recommended 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    What tools and patterns are available for building reliable AI agent systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. BabyAGI
    6. Weights & Biases
    7. OpenAI API
    8. Anthropic Claude
    9. Google Gemini

    AI recommended 9 alternatives but never named ai-boost/awesome-harness-engineering. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to effectively orchestrate, evaluate, and manage memory for AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. MemGPT
    6. Pinecone
    7. Weaviate
    8. Chroma
    9. Qdrant

    AI recommended 9 alternatives but never named ai-boost/awesome-harness-engineering. 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 ai-boost/awesome-harness-engineering?
    pass
    AI named ai-boost/awesome-harness-engineering explicitly

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

  • If a team adopts ai-boost/awesome-harness-engineering in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ai-boost/awesome-harness-engineering 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 ai-boost/awesome-harness-engineering solve, and who is the primary audience?
    pass
    AI did not name ai-boost/awesome-harness-engineering — 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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ai-boost/awesome-harness-engineering — 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
ai-boost/awesome-harness-engineering — RepoGEO report