RRepoGEO

REPOGEO REPORT · LITE

vamplabAI/sgr-agent-core

Default branch main · commit 64d86ddb · scanned 5/26/2026, 7:01:55 AM

GitHub: 1,088 stars · 174 forks

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 vamplabAI/sgr-agent-core, 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
    Improve the repository description

    Why:

    CURRENT
    Schema-Guided Reasoning (SGR) has agentic system design created by neuraldeep community
    COPY-PASTE FIX
    SGR Agent Core is an open-source framework for building intelligent LLM agents with structured reasoning and flexible tool selection, compatible with OpenAI API and local models.
  • mediumreadme#2
    Add a 'Comparison' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section to the README titled '## SGR Agent Core vs. Other Frameworks' that briefly explains its unique value proposition compared to frameworks like LangChain or LlamaIndex, focusing on its core Schema-Guided Reasoning approach.
  • lowtopics#3
    Add more specific topics

    Why:

    CURRENT
    agent, deep-research, function-calling, llm, openai-api, research, sgr, so, structured-output
    COPY-PASTE FIX
    agent, deep-research, function-calling, llm, openai-api, research, sgr, so, structured-output, ai-agents, local-llm

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 vamplabAI/sgr-agent-core
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. AutoGen · recommended 2×
  4. CrewAI · recommended 2×
  5. Haystack · recommended 2×
  • CATEGORY QUERY
    How to build intelligent LLM agents with structured reasoning and flexible tool selection?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. CrewAI
    5. Haystack
    6. Marvin

    AI recommended 6 alternatives but never named vamplabAI/sgr-agent-core. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an open-source agentic framework compatible with OpenAI API and local LLMs.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGen
    4. Haystack
    5. CrewAI

    AI recommended 5 alternatives but never named vamplabAI/sgr-agent-core. 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 vamplabAI/sgr-agent-core?
    pass
    AI did not name vamplabAI/sgr-agent-core — 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 vamplabAI/sgr-agent-core in production, what risks or prerequisites should they evaluate first?
    pass
    AI named vamplabAI/sgr-agent-core 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 vamplabAI/sgr-agent-core solve, and who is the primary audience?
    pass
    AI named vamplabAI/sgr-agent-core explicitly

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

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vamplabAI/sgr-agent-core — 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