RRepoGEO

REPOGEO REPORT · LITE

Picrew/awesome-agent-harness

Default branch main · commit 6fe5cbf8 · scanned 5/30/2026, 4:02:58 AM

GitHub: 887 stars · 73 forks

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 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 Picrew/awesome-agent-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
  • highabout#1
    Clarify the 'About' description to emphasize its role as a discovery resource

    Why:

    CURRENT
    An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
    COPY-PASTE FIX
    A curated, implementation-first awesome list for Agent Harness engineering. Discover GitHub projects, tools, benchmarks, and practical guides to build robust AI agents.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Add a LICENSE file to the repository root, choosing a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that aligns with the project's intent.
  • mediumreadme#3
    Enhance README introduction to differentiate from direct tools

    Why:

    CURRENT
    A curated, implementation-first list of **agent harness engineering** resources, with GitHub projects as the primary focus.
    COPY-PASTE FIX
    A curated, implementation-first list of **agent harness engineering** resources, with GitHub projects as the primary focus. Use this list to discover, compare, and select the best tools and frameworks for building robust AI agents.

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 Picrew/awesome-agent-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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. LlamaIndex · recommended 2×
  3. Microsoft Semantic Kernel · recommended 1×
  4. Haystack · recommended 1×
  5. AutoGen · recommended 1×
  • CATEGORY QUERY
    What are the best tools and frameworks for building robust and reliable AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Microsoft Semantic Kernel
    4. Haystack
    5. AutoGen
    6. OpenAI Assistants API
    7. CrewAI

    AI recommended 7 alternatives but never named Picrew/awesome-agent-harness. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find resources on designing effective harnesses for long-running autonomous agents?
    you: not recommended
    AI recommended (in order):
    1. Gymnasium
    2. Unity ML-Agents
    3. DeepMind Lab
    4. Apache Airflow
    5. Kubernetes
    6. Prometheus
    7. Grafana
    8. ELK Stack
    9. Elasticsearch
    10. Logstash
    11. Kibana
    12. LangChain
    13. LlamaIndex
    14. Mesa

    AI recommended 14 alternatives but never named Picrew/awesome-agent-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
    warn

    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 Picrew/awesome-agent-harness?
    pass
    AI named Picrew/awesome-agent-harness explicitly

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

  • If a team adopts Picrew/awesome-agent-harness in production, what risks or prerequisites should they evaluate first?
    pass
    AI did not name Picrew/awesome-agent-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?

  • In one sentence, what problem does the repo Picrew/awesome-agent-harness solve, and who is the primary audience?
    pass
    AI did not name Picrew/awesome-agent-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?

Embed your GEO score

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Picrew/awesome-agent-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