RRepoGEO

REPOGEO REPORT · LITE

DenisSergeevitch/agents-best-practices

Default branch main · commit 8b6ab3af · scanned 6/24/2026, 2:28:08 PM

GitHub: 2,026 stars · 176 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
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 DenisSergeevitch/agents-best-practices, 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 to explicitly state it's a design guide, not a framework

    Why:

    CURRENT
    A provider-neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses.
    COPY-PASTE FIX
    A provider-neutral Agent Skill for designing, generating MVP blueprints for, auditing, refactoring, and explaining agentic harnesses. Unlike agent frameworks (e.g., LangChain, LlamaIndex), this repository provides the *principles and patterns* for building robust agents, independent of specific tooling.
  • highabout#2
    Add a homepage URL to the repository's 'About' section

    Why:

    COPY-PASTE FIX
    https://github.com/DenisSergeevitch/agents-best-practices
  • mediumreadme#3
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Agent Frameworks

This repository focuses on **provider-neutral best practices, design patterns, and architectural principles** for building robust AI agentic systems. It is *not* an agent framework like LangChain, LlamaIndex, or Microsoft Semantic Kernel, nor is it a specific agent implementation like AutoGPT. Instead, it complements these tools by providing the foundational knowledge and blueprints to design agents that are disciplined, auditable, and reliable, regardless of the underlying framework or model.

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 DenisSergeevitch/agents-best-practices
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 2×
  5. Microsoft Semantic Kernel · recommended 1×
  • CATEGORY QUERY
    How to design robust and disciplined AI agent workflows and harnesses?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Microsoft Semantic Kernel
    5. AutoGPT
    6. BabyAGI
    7. MLflow
    8. Prefect
    9. Apache Airflow

    AI recommended 9 alternatives but never named DenisSergeevitch/agents-best-practices. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking provider-neutral best practices for building reliable agentic systems.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. OpenAI Assistants API
    6. CrewAI

    AI recommended 6 alternatives but never named DenisSergeevitch/agents-best-practices. 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 DenisSergeevitch/agents-best-practices?
    pass
    AI did not name DenisSergeevitch/agents-best-practices — 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 DenisSergeevitch/agents-best-practices in production, what risks or prerequisites should they evaluate first?
    pass
    AI named DenisSergeevitch/agents-best-practices 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 DenisSergeevitch/agents-best-practices solve, and who is the primary audience?
    pass
    AI did not name DenisSergeevitch/agents-best-practices — 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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DenisSergeevitch/agents-best-practices — 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