RRepoGEO

REPOGEO REPORT · LITE

Picrew/awesome-agent-harness

Default branch main · commit 85d64100 · scanned 6/29/2026, 4:08:46 AM

GitHub: 1,371 stars · 116 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /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
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 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
  • highreadme#1
    Clarify repo type in README's opening sentence

    Why:

    CURRENT
    A curated, implementation-first list of **agent harness engineering** resources, with GitHub projects as the primary focus.
    COPY-PASTE FIX
    This repository is an **awesome list** – a curated, implementation-first collection of **agent harness engineering** resources, with GitHub projects as the primary focus. It is *not* a framework or tool for building agents, but a comprehensive guide to existing solutions.
  • highlicense#2
    Add a LICENSE file to the repository

    Why:

    CURRENT
    (no LICENSE file detected — the repo has no recognizable license)
    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root with a standard open-source license (e.g., MIT, Apache-2.0, GPL-3.0) to clarify usage rights.
  • mediumabout#3
    Update the repository's About description

    Why:

    CURRENT
    An awesome list of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides.
    COPY-PASTE FIX
    An **awesome list** of Agent Harness engineering resources, including GitHub projects, tools, benchmarks, and practical guides. This is a curated collection, not a framework or tool.

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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. Weights & Biases (W&B) · recommended 1×
  • CATEGORY QUERY
    What are the best practices and tools for building reliable AI agent systems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Weights & Biases (W&B)
    6. Grafana
    7. Prometheus
    8. Pydantic

    AI recommended 8 alternatives but never named Picrew/awesome-agent-harness. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to design and implement robust infrastructure for autonomous AI agent orchestration?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes (kubernetes/kubernetes)
    2. Apache Airflow (apache/airflow)
    3. Argo Workflows (argoproj/argo-workflows)
    4. LangChain (langchain-ai/langchain)
    5. LlamaIndex (run-llama/llama_index)
    6. Haystack (deepset-ai/haystack)
    7. Apache Kafka (apache/kafka)
    8. RabbitMQ (rabbitmq/rabbitmq)
    9. Prometheus (prometheus/prometheus)
    10. Grafana (grafana/grafana)
    11. ELK Stack

    AI recommended 11 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 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?

  • 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?

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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