RRepoGEO

REPOGEO REPORT · LITE

nrslib/takt

Default branch main · commit 4467e139 · scanned 5/12/2026, 11:16:50 PM

GitHub: 1,029 stars · 63 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 nrslib/takt, 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 clarify core purpose and avoid miscategorization

    Why:

    CURRENT
    # TAKT
🇯🇵 [日本語ドキュメント](./docs/README.ja.md) | 💬 Discord Community
**T**AKT **A**gent **K**oordination **T**opology — Give your AI coding agents structured review loops, managed prompts, and guardrails — so they deliver quality code, not just code.
    COPY-PASTE FIX
    # TAKT: AI Agent Coordination Topology
Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML.

🇯🇵 [日本語ドキュメント](./docs/README.ja.md) | 💬 Discord Community

This project is **not** a .NET rate-limiting library. TAKT provides structured review loops, managed prompts, and guardrails for your AI coding agents, ensuring they deliver quality code, not just code.
  • mediumtopics#2
    Expand GitHub Topics for better category matching

    Why:

    CURRENT
    agent-orchestration, agent-team, ai-agents, claude-code, codex, multi-agent, opencode
    COPY-PASTE FIX
    agent-orchestration, agent-team, ai-agents, claude-code, codex, multi-agent, opencode, llm-orchestration, workflow-automation, declarative-ai, quality-assurance, human-in-the-loop, code-generation
  • lowhomepage#3
    Add a homepage URL to the repository metadata

    Why:

    COPY-PASTE FIX
    [Add a relevant project or documentation URL here]

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 nrslib/takt
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
langchain-ai/langchain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. langchain-ai/langchain · recommended 1×
  2. microsoft/semantic-kernel · recommended 1×
  3. deepset-ai/haystack · recommended 1×
  4. microsoft/autogen · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    Tool for orchestrating AI agents with structured review loops and human oversight?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. Microsoft Semantic Kernel (microsoft/semantic-kernel)
    3. Haystack (deepset-ai/haystack)
    4. AutoGen (microsoft/autogen)
    5. OpenAI Assistants API
    6. Cortex

    AI recommended 6 alternatives but never named nrslib/takt. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to define reproducible AI coding agent workflows with built-in quality guardrails?
    you: not recommended
    AI recommended (in order):
    1. MLflow (mlflow/mlflow)
    2. Kubeflow Pipelines (kubeflow/pipelines)
    3. Dagster (dagster-io/dagster)
    4. Prefect (PrefectHQ/prefect)
    5. DVC (iterative/dvc)
    6. Great Expectations (great-expectations/great_expectations)
    7. GitHub Actions
    8. GitLab CI/CD

    AI recommended 8 alternatives but never named nrslib/takt. 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 nrslib/takt?
    pass
    AI named nrslib/takt explicitly

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

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

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

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nrslib/takt — 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