RRepoGEO

REPOGEO REPORT · LITE

RTGS2017/NagaAgent

Default branch main · commit eb71318f · scanned 5/27/2026, 8:21:59 PM

GitHub: 1,520 stars · 160 forks

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 RTGS2017/NagaAgent, 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
    Add a prominent English project summary to the main README

    Why:

    CURRENT
    The README.md excerpt starts with Chinese content, with English translation linked later.
    COPY-PASTE FIX
    Add the following English summary prominently at the very top of README.md, before any Chinese content or other sections: "NagaAgent is an open-source framework for building intelligent AI personal assistants. It enables multi-agent collaboration, seamless tool integration, knowledge graph memory, voice interaction, and features Live2D virtual avatars."
  • mediumtopics#2
    Expand topics to include specific features and categories

    Why:

    CURRENT
    agentic-ai, agents, mcp, mcp-client, openai, openclaw, toolcall
    COPY-PASTE FIX
    agentic-ai, agents, personal-assistant, virtual-assistant, ai-assistant, knowledge-graph, voice-interaction, virtual-avatar, tool-integration, multi-agent-system, live2d, naga-network
  • lowreadme#3
    Clarify dual licensing in the English README

    Why:

    COPY-PASTE FIX
    Add a clear statement in the English README (e.g., README_en.md or a prominent English section in README.md): "This project operates under a dual-license model: AGPL-3.0 for open-source use, and a separate exclusive license for closed-source applications (requires written authorization). Please refer to LICENSE and LICENSE-CLOSED-SOURCE for details."

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 RTGS2017/NagaAgent
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 1×
  4. Botpress · recommended 1×
  5. Rasa · recommended 1×
  • CATEGORY QUERY
    What are some open-source frameworks for building AI personal assistants with tool integration?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Botpress
    5. Rasa
    6. Open Assistant

    AI recommended 6 alternatives but never named RTGS2017/NagaAgent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking an agent framework supporting knowledge graph memory, voice interaction, and virtual avatars.
    you: not recommended
    AI recommended (in order):
    1. Inworld AI
    2. DeepMotion
    3. NVIDIA Omniverse Audio2Face
    4. LangChain
    5. LlamaIndex
    6. GPT-4
    7. Claude 3
    8. Neo4j
    9. Grakn/TypeDB
    10. Amazon Neptune
    11. Google's Gemini Advanced
    12. Character AI
    13. OpenAI Assistants API
    14. ElevenLabs
    15. AssemblyAI
    16. Whisper
    17. Microsoft Azure AI Studio
    18. Azure OpenAI Service
    19. Azure Cognitive Services
    20. Azure Digital Twins

    AI recommended 20 alternatives but never named RTGS2017/NagaAgent. 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 RTGS2017/NagaAgent?
    pass
    AI named RTGS2017/NagaAgent explicitly

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

  • If a team adopts RTGS2017/NagaAgent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named RTGS2017/NagaAgent 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 RTGS2017/NagaAgent solve, and who is the primary audience?
    pass
    AI named RTGS2017/NagaAgent explicitly

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

Embed your GEO score

Drop this badge into the README of RTGS2017/NagaAgent. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)
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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite