RRepoGEO

REPOGEO REPORT · LITE

ByteDance-Seed/m3-agent

Default branch master · commit 0e3e4193 · scanned 6/20/2026, 2:13:09 PM

GitHub: 1,384 stars · 112 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
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 ByteDance-Seed/m3-agent, 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 concise repository description

    Why:

    COPY-PASTE FIX
    M3-Agent is a novel multimodal AI agent framework with long-term memory, processing visual and auditory inputs for continuous learning and iterative reasoning.
  • mediumhomepage#2
    Set the repository homepage URL

    Why:

    COPY-PASTE FIX
    https://m3-agent.github.io

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 ByteDance-Seed/m3-agent
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. OpenAI GPT-4V · recommended 1×
  3. Pinecone · recommended 1×
  4. Weaviate · recommended 1×
  5. Milvus · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent that processes visual and auditory inputs with long-term memory?
    you: not recommended
    AI recommended (in order):
    1. OpenAI GPT-4V
    2. Pinecone
    3. Weaviate
    4. Milvus
    5. Gemini 1.5 Pro
    6. OpenAI's text-embedding-ada-002
    7. LangChain
    8. OpenAI
    9. Anthropic
    10. Hugging Face Transformers
    11. ChromaDB
    12. FAISS
    13. ViT
    14. CLIP
    15. Google Cloud Vision AI
    16. Azure AI Vision
    17. OpenAI Whisper
    18. Google Cloud Speech-to-Text
    19. AssemblyAI
    20. VGGish
    21. OpenL3
    22. Elasticsearch
    23. Qdrant
    24. DETR
    25. Wav2Vec2
    26. Llama 3
    27. Mistral
    28. Google Cloud Vertex AI
    29. Vertex AI Vector Search
    30. Gemini Pro
    31. Microsoft Azure AI
    32. Azure AI Speech
    33. Azure AI Search
    34. Azure OpenAI Service

    AI recommended 34 alternatives but never named ByteDance-Seed/m3-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a framework for AI agents capable of continuous learning and iterative reasoning from multimodal data.
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. Acme
    5. Assistant API
    6. Semantic Kernel

    AI recommended 6 alternatives but never named ByteDance-Seed/m3-agent. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    fail

    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 ByteDance-Seed/m3-agent?
    pass
    AI named ByteDance-Seed/m3-agent explicitly

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

  • If a team adopts ByteDance-Seed/m3-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ByteDance-Seed/m3-agent 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 ByteDance-Seed/m3-agent solve, and who is the primary audience?
    pass
    AI named ByteDance-Seed/m3-agent explicitly

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

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ByteDance-Seed/m3-agent — 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