RRepoGEO

REPOGEO REPORT · LITE

ViktorAxelsen/MemSkill

Default branch main · commit 9907c35f · scanned 6/15/2026, 8:33:03 PM

GitHub: 519 stars · 33 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 ViktorAxelsen/MemSkill, 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
    Add a concise, explicit category statement to the README's introduction

    Why:

    CURRENT
    The README currently jumps from the H1 to a general overview.
    COPY-PASTE FIX
    Add the following sentence immediately after the H1: **MemSkill is an AI framework for developing adaptive memory capabilities in autonomous agents.**
  • hightopics#2
    Add relevant topics to the repository

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    ai-agents, memory, meta-learning, reinforcement-learning, large-language-models, llm-agents, self-evolving-agents, agent-framework
  • mediumhomepage#3
    Set the repository homepage URL

    Why:

    CURRENT
    (none)
    COPY-PASTE FIX
    https://viktoraxelsen.github.io/MemSkill/

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 ViktorAxelsen/MemSkill
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Stable Baselines3
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Stable Baselines3 · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. MemoryGPT · recommended 1×
  5. Pinecone · recommended 1×
  • CATEGORY QUERY
    How can AI agents develop adaptive memory capabilities for complex, long-horizon tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. MemoryGPT
    4. Pinecone
    5. Weaviate
    6. Chroma
    7. DeepMind's Recurrent Replay Distributed DRL (R2D2)
    8. Ray RLlib
    9. Stable Baselines3
    10. DreamerV3
    11. TensorFlow
    12. PyTorch
    13. GPT-4
    14. Claude 3
    15. LangChain's Agent Executor

    AI recommended 15 alternatives but never named ViktorAxelsen/MemSkill. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for agents to learn and refine their own memory operations from experience?
    you: not recommended
    AI recommended (in order):
    1. Differentiable Neural Computers (DNCs)
    2. Neural Turing Machines (NTMs)
    3. Model-Agnostic Meta-Learning (MAML)
    4. Reptile
    5. PyTorch-MAML
    6. Higher
    7. Compressive Transformers
    8. Perceiver IO
    9. Hugging Face Transformers
    10. Memory-Augmented Control (R-MAC)
    11. MERLIN (Memory-Enhanced Reinforcement Learning with Internal State)
    12. RLlib
    13. Stable Baselines3
    14. DeepProbLog
    15. Avalanche

    AI recommended 15 alternatives but never named ViktorAxelsen/MemSkill. 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 ViktorAxelsen/MemSkill?
    pass
    AI named ViktorAxelsen/MemSkill explicitly

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

  • If a team adopts ViktorAxelsen/MemSkill in production, what risks or prerequisites should they evaluate first?
    pass
    AI named ViktorAxelsen/MemSkill 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 ViktorAxelsen/MemSkill solve, and who is the primary audience?
    pass
    AI named ViktorAxelsen/MemSkill 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 ViktorAxelsen/MemSkill. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/ViktorAxelsen/MemSkill.svg)](https://repogeo.com/en/r/ViktorAxelsen/MemSkill)
HTML
<a href="https://repogeo.com/en/r/ViktorAxelsen/MemSkill"><img src="https://repogeo.com/badge/ViktorAxelsen/MemSkill.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

ViktorAxelsen/MemSkill — 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