RRepoGEO

REPOGEO REPORT · LITE

OpenBMB/XAgent

Default branch main · commit 3619c258 · scanned 5/26/2026, 9:51:59 PM

GitHub: 8,533 stars · 904 forks

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 OpenBMB/XAgent, 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
  • hightopics#1
    Add relevant GitHub topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm-agent, autonomous-agent, ai-agent, multi-agent-system, llm-framework, task-solving, generative-ai
  • mediumreadme#2
    Emphasize 'framework' and 'platform' in the README introduction

    Why:

    CURRENT
    XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent that can automatically solve various tasks. It is designed to be a general-purpose agent that can be applied to a wide range of tasks.
    COPY-PASTE FIX
    XAgent is an open-source experimental Large Language Model (LLM) driven autonomous agent **framework** that can automatically solve various tasks. It is designed to be a general-purpose agent **platform** that can be applied to a wide range of tasks.
  • lowhomepage#3
    Update the repository homepage to point to the main documentation

    Why:

    CURRENT
    https://blog.x-agent.net/blog/xagent/
    COPY-PASTE FIX
    https://xagent-doc.readthedocs.io/en/latest/

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 OpenBMB/XAgent
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 1×
  5. BabyAGI · recommended 1×
  • CATEGORY QUERY
    How can I develop an autonomous AI agent to solve complex, multi-step problems?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. AutoGPT
    4. BabyAGI
    5. Haystack
    6. OpenAI API
    7. Anthropic's Claude
    8. Google's Gemini
    9. Microsoft AutoGen

    AI recommended 9 alternatives but never named OpenBMB/XAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What open-source frameworks exist for building general-purpose intelligent agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGen
    5. Gymnasium
    6. RLlib
    7. Acme

    AI recommended 7 alternatives but never named OpenBMB/XAgent. 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 OpenBMB/XAgent?
    pass
    AI named OpenBMB/XAgent explicitly

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

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

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

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OpenBMB/XAgent — 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