REPOGEO REPORT · LITE
agentcoinorg/evo.ninja
Default branch dev · commit 0fce6d4c · scanned 5/21/2026, 2:32:53 AM
GitHub: 1,080 stars · 170 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 agentcoinorg/evo.ninja, 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.
- highreadme#1Reposition README H1 to clarify agent type
Why:
CURRENT## Welcome! To get started using evo.ninja simply head to our website, or to build and run from source follow these [setup instructions](#setup).
COPY-PASTE FIX## Welcome to evo.ninja: The Adaptive Generalist AI Agent evo.ninja is a versatile, self-improving AI agent designed to dynamically adjust its approach based on task requirements, utilizing specialized personas for diverse domains like text analysis, CSV data processing, research, and development. To get started using evo.ninja simply head to our website, or to build and run from source follow these [setup instructions](#setup).
- hightopics#2Add relevant topics to the repository
Why:
COPY-PASTE FIXai-agent, autonomous-agent, generalist-ai, adaptive-ai, multi-persona-agent, text-analysis, csv-analysis, research-agent, developer-agent
- mediumhomepage#3Add the project homepage URL
Why:
COPY-PASTE FIXhttps://evo.ninja
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/gym · recommended 1×
- DLR-RM/stable-baselines3 · recommended 1×
- ray-project/ray · recommended 1×
- huggingface/transformers · recommended 1×
- huggingface/trl · recommended 1×
- CATEGORY QUERYHow can I find an AI agent that dynamically adjusts its approach based on task requirements?you: not recommendedAI recommended (in order):
- OpenAI Gym (openai/gym)
- Stable Baselines3 (DLR-RM/stable-baselines3)
- Ray RLib (ray-project/ray)
- Hugging Face Transformers (huggingface/transformers)
- TRL (huggingface/trl)
- Google's AutoAI
- Google's AutoML
- Microsoft Azure Machine Learning
- Azure's Automated ML
- PyTorch Lightning (Lightning-AI/lightning)
AI recommended 10 alternatives but never named agentcoinorg/evo.ninja. This is the gap to close.
Show full AI answer
- CATEGORY QUERYWhat tools are available for building AI agents capable of text and CSV data analysis?you: not recommendedAI recommended (in order):
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- PandasAI (gventuri/pandas-ai)
- MindsDB (mindsdb/mindsdb)
- Haystack (deepset-ai/haystack)
- AutoGen (microsoft/autogen)
- OpenAI API
AI recommended 7 alternatives but never named agentcoinorg/evo.ninja. 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 agentcoinorg/evo.ninja?passAI named agentcoinorg/evo.ninja explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
- If a team adopts agentcoinorg/evo.ninja in production, what risks or prerequisites should they evaluate first?passAI named agentcoinorg/evo.ninja 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 agentcoinorg/evo.ninja solve, and who is the primary audience?passAI named agentcoinorg/evo.ninja 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 agentcoinorg/evo.ninja. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.
[](https://repogeo.com/en/r/agentcoinorg/evo.ninja)<a href="https://repogeo.com/en/r/agentcoinorg/evo.ninja"><img src="https://repogeo.com/badge/agentcoinorg/evo.ninja.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
agentcoinorg/evo.ninja — 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