RRepoGEO

REPOGEO REPORT · LITE

vudovn/ag-kit

Default branch main · commit b4f3c212 · scanned 5/23/2026, 9:32:53 PM

GitHub: 7,515 stars · 1,464 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
35 /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
3 / 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 vudovn/ag-kit, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highabout#1
    Add a clear, concise description for the repository

    Why:

    COPY-PASTE FIX
    AI Agent templates with Skills, Agents, and Workflows for building advanced AI systems with persistent memory and context compression.
  • mediumreadme#2
    Clarify the README's opening statement to emphasize AI agents

    Why:

    CURRENT
    <h1 align="center">AG KIT</h1>

<p align="center">
    AI Agent templates with Skills, Agents, and Workflows — now with Coordinator Mode, Persistent Memory, and Context Compression
</p>
    COPY-PASTE FIX
    <h1 align="center">AG KIT: AI Agent Templates & Orchestration</h1>

<p align="center">
    A comprehensive toolkit for building advanced AI Agents with Skills, Workflows, Coordinator Mode, Persistent Memory, and Context Compression.
</p>

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 vudovn/ag-kit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. run-llama/llama_index · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. OpenAI Assistants API · recommended 1×
  5. weaviate/weaviate · recommended 1×
  • CATEGORY QUERY
    How to build AI agents with persistent memory and context compression?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Haystack (deepset-ai/haystack)
    4. OpenAI Assistants API
    5. Weaviate (weaviate/weaviate)
    6. Pinecone
    7. Redis (redis/redis)

    AI recommended 7 alternatives but never named vudovn/ag-kit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need an AI agent system that reduces token usage through smart orchestration.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. CrewAI
    5. Microsoft Guidance
    6. Haystack

    AI recommended 6 alternatives but never named vudovn/ag-kit. 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 vudovn/ag-kit?
    pass
    AI named vudovn/ag-kit explicitly

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

  • If a team adopts vudovn/ag-kit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vudovn/ag-kit 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 vudovn/ag-kit solve, and who is the primary audience?
    pass
    AI named vudovn/ag-kit explicitly

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

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vudovn/ag-kit — 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