RRepoGEO

REPOGEO REPORT · LITE

deepseek-ai/awesome-deepseek-agent

Default branch main · commit 862f0018 · scanned 5/8/2026, 6:12:44 AM

GitHub: 835 stars · 92 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)

4 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
17 /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
1 / 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 deepseek-ai/awesome-deepseek-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

3 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
    A curated list of guides for integrating DeepSeek models into popular AI agent and coding-assistant tools, with step-by-step instructions for installation, configuration, and first run.
  • hightopics#2
    Add relevant repository topics

    Why:

    COPY-PASTE FIX
    deepseek, deepseek-ai, deepseek-agent, ai-agent, coding-assistant, llm-integration, awesome-list, guides, tutorials, developer-tools
  • highlicense#3
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a `LICENSE` file in the repository root and populate it with the text of a standard open-source license (e.g., MIT, Apache-2.0, or GPL-3.0) that best suits the project's intent.

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 deepseek-ai/awesome-deepseek-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 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. LlamaIndex · recommended 1×
  3. Hugging Face Transformers Library · recommended 1×
  4. OpenAI API · recommended 1×
  5. LiteLLM · recommended 1×
  • CATEGORY QUERY
    How can I use different large language models with my existing AI coding tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Hugging Face Transformers Library
    4. OpenAI API
    5. LiteLLM
    6. Ollama
    7. vLLM

    AI recommended 7 alternatives but never named deepseek-ai/awesome-deepseek-agent. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What AI coding agents support custom model configurations for enhanced development workflows?
    you: not recommended
    AI recommended (in order):
    1. Cursor
    2. Continue
    3. Smol-AI
    4. OpenDevin
    5. Auto-GPT
    6. CodiumAI

    AI recommended 6 alternatives but never named deepseek-ai/awesome-deepseek-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 deepseek-ai/awesome-deepseek-agent?
    pass
    AI did not name deepseek-ai/awesome-deepseek-agent — 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 deepseek-ai/awesome-deepseek-agent in production, what risks or prerequisites should they evaluate first?
    pass
    AI named deepseek-ai/awesome-deepseek-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 deepseek-ai/awesome-deepseek-agent solve, and who is the primary audience?
    pass
    AI did not name deepseek-ai/awesome-deepseek-agent — 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?

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deepseek-ai/awesome-deepseek-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