REPOGEO REPORT · LITE
nrslib/takt
Default branch main · commit 34ff5f7b · scanned 6/23/2026, 8:03:36 AM
GitHub: 1,153 stars · 74 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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.
- highabout#1Clarify the 'About' description to explicitly state AI agent orchestration framework
Why:
CURRENTTAKT Agent Koordination Topology - Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML
COPY-PASTE FIXTAKT: An AI Agent Orchestration Framework for Repeatable Development Workflows. Define how AI agents coordinate, where humans intervene, and what gets recorded — in YAML.
- mediumtopics#2Expand topics to include broader AI workflow and LLM orchestration terms
Why:
CURRENTagent-orchestration, agent-team, ai-agents, claude-code, codex, multi-agent, opencode
COPY-PASTE FIXagent-orchestration, agent-team, ai-agents, claude-code, codex, multi-agent, opencode, ai-workflow-engine, llm-orchestration
- lowhomepage#3Add the repository URL as the project homepage
Why:
COPY-PASTE FIXhttps://github.com/nrslib/takt
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.
- OpenAI Assistants API · recommended 2×
- langchain-ai/langchain · recommended 1×
- PrefectHQ/prefect · recommended 1×
- kubeflow/pipelines · recommended 1×
- GitHub Actions · recommended 1×
- CATEGORY QUERYHow to define repeatable development workflows for multiple AI coding agents?you: not recommendedAI recommended (in order):
- LangChain (langchain-ai/langchain)
- OpenAI Assistants API
- Prefect (PrefectHQ/prefect)
- Kubeflow Pipelines (kubeflow/pipelines)
- GitHub Actions
- GitLab CI/CD
- DVC (iterative/dvc)
AI recommended 7 alternatives but never named nrslib/takt. This is the gap to close.
Show full AI answer
- CATEGORY QUERYTool to orchestrate AI agents, manage human intervention, and define output contracts?you: not recommendedAI recommended (in order):
- LangChain
- LlamaIndex
- Microsoft Semantic Kernel
- OpenAI Assistants API
- Haystack
- AutoGPT
- BabyAGI
AI recommended 7 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 completenesswarn
Suggestion:
- README presencepass
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?passAI 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?passAI 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?passAI named nrslib/takt explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
Embed your GEO score
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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