REPOGEO REPORT · LITE
Memento-Teams/Memento-Skills
Default branch main · commit e7687d9c · scanned 6/24/2026, 3:26:45 AM
GitHub: 1,505 stars · 177 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 Memento-Teams/Memento-Skills, 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.
- hightopics#1Add specific topics to clarify AI agent focus
Why:
COPY-PASTE FIX["ai-agents", "autonomous-agents", "llm-agents", "agent-framework", "self-improving-agents", "multi-step-tasks", "agent-design", "skill-learning", "desktop-app", "generative-ai"]
- highreadme#2Add a clear introductory sentence to the README
Why:
COPY-PASTE FIXAdd this sentence immediately after the main H1/H3 taglines: "Memento-Skills is an open-source framework and desktop application designed for AI agents to autonomously learn, rewrite, and evolve their own capabilities through real-world tasks."
- highlicense#3Add a LICENSE file to the repository
Why:
COPY-PASTE FIXCreate a LICENSE file in the repository root, choosing a standard open-source license (e.g., MIT, Apache-2.0) to clearly define the terms of use.
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×
- Gymnasium · recommended 1×
- Stable Baselines3 · recommended 1×
- Ray RLLib · recommended 1×
- Acme · recommended 1×
- CATEGORY QUERYTools for creating autonomous agents that evolve their skills over time?you: not recommendedAI recommended (in order):
- OpenAI Gym
- Gymnasium
- Stable Baselines3
- Ray RLLib
- Acme
- PyTorch
- TensorFlow
- NEAT
- NEAT-Python
- Unity ML-Agents
AI recommended 10 alternatives but never named Memento-Teams/Memento-Skills. This is the gap to close.
Show full AI answer
- CATEGORY QUERYSeeking an AI agent framework for complex multi-step task execution and self-improvement.you: not recommendedAI recommended (in order):
- AutoGPT (Significant-Gravitas/AutoGPT)
- LangChain (langchain-ai/langchain)
- LlamaIndex (run-llama/llama_index)
- CrewAI (joaomdmoura/crewAI)
- OpenAI Assistants API
- Haystack (deepset-ai/haystack)
AI recommended 6 alternatives but never named Memento-Teams/Memento-Skills. 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 Memento-Teams/Memento-Skills?passAI did not name Memento-Teams/Memento-Skills — 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 Memento-Teams/Memento-Skills in production, what risks or prerequisites should they evaluate first?passAI named Memento-Teams/Memento-Skills 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 Memento-Teams/Memento-Skills solve, and who is the primary audience?passAI named Memento-Teams/Memento-Skills 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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Memento-Teams/Memento-Skills — 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