RRepoGEO

REPOGEO REPORT · LITE

JoshuaC215/agent-service-toolkit

Default branch main · commit 5b3945f4 · scanned 6/28/2026, 5:22:37 AM

GitHub: 4,350 stars · 727 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
40 /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
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 JoshuaC215/agent-service-toolkit, 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 opening to emphasize 'deployable service toolkit'

    Why:

    CURRENT
    A full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit.
    COPY-PASTE FIX
    A **complete, deployable toolkit** for building and running an AI agent service, integrating LangGraph, FastAPI, and Streamlit into a production-ready template.
  • mediumtopics#2
    Add more specific topics to improve categorization

    Why:

    CURRENT
    agents, langgraph, streamlit
    COPY-PASTE FIX
    agents, langgraph, streamlit, fastapi, pydantic, ai-service, deployment, boilerplate, template, production-ready
  • lowreadme#3
    Add a 'Why choose this toolkit?' or 'Comparison' section to README

    Why:

    COPY-PASTE FIX
    ## Why choose Agent Service Toolkit?
Unlike general-purpose frameworks like LangChain or LlamaIndex, or UI libraries like Streamlit, Agent Service Toolkit provides a complete, opinionated boilerplate for deploying a LangGraph agent as a scalable service with a FastAPI backend and a Streamlit frontend. It's designed for developers who want to quickly build and deploy a production-ready AI agent service, rather than assembling individual components from scratch.

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 JoshuaC215/agent-service-toolkit
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Streamlit
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Streamlit · recommended 2×
  2. Gradio · recommended 2×
  3. LlamaIndex · recommended 2×
  4. LangChain · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to build and deploy a complete AI agent service with a web UI?
    you: not recommended
    AI recommended (in order):
    1. Streamlit
    2. LangChain
    3. OpenAI API
    4. Anthropic Claude API
    5. Hugging Face Inference Endpoints
    6. Hugging Face Spaces
    7. Render
    8. Gradio
    9. FastAPI
    10. React
    11. Vue.js
    12. Angular
    13. AWS
    14. Google Cloud
    15. Azure
    16. Netlify
    17. Vercel
    18. Django
    19. Flask
    20. Jinja2
    21. Heroku
    22. LlamaIndex

    AI recommended 22 alternatives but never named JoshuaC215/agent-service-toolkit. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a robust boilerplate for LangGraph agent development with a Streamlit frontend.
    you: not recommended
    AI recommended (in order):
    1. LangChain Templates
    2. LangGraph
    3. Streamlit
    4. Awesome LangChain
    5. LlamaIndex
    6. Gradio

    AI recommended 6 alternatives but never named JoshuaC215/agent-service-toolkit. 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 JoshuaC215/agent-service-toolkit?
    pass
    AI named JoshuaC215/agent-service-toolkit explicitly

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

  • If a team adopts JoshuaC215/agent-service-toolkit in production, what risks or prerequisites should they evaluate first?
    pass
    AI named JoshuaC215/agent-service-toolkit 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 JoshuaC215/agent-service-toolkit solve, and who is the primary audience?
    pass
    AI named JoshuaC215/agent-service-toolkit explicitly

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

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JoshuaC215/agent-service-toolkit — 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