RRepoGEO

REPOGEO REPORT · LITE

agentscope-ai/ReMe

Default branch main · commit 3dee10d4 · scanned 6/27/2026, 1:17:10 AM

GitHub: 3,121 stars · 264 forks

Scan history for this repo

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.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 agentscope-ai/ReMe, 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 core value proposition to the top of the README

    Why:

    CURRENT
    The README currently starts with badges and then a centered paragraph containing the core value proposition.
    COPY-PASTE FIX
    Move the sentence 'ReMe is a memory management toolkit for AI agents, turning conversations and resources into readable, editable, and searchable file-based long-term memory.' to be the very first line of the README, before any badges or alignment tags.
  • mediumhomepage#2
    Add a homepage URL to the repository settings

    Why:

    COPY-PASTE FIX
    Set the repository homepage URL to `https://deepwiki.com/agentscope-ai/ReMe`.
  • mediumtopics#3
    Add more specific topics to reinforce the AI agent memory niche

    Why:

    CURRENT
    agent, ai-agents, memory, memoryscope, rag, reme
    COPY-PASTE FIX
    agent, ai-agents, memory, memoryscope, rag, reme, llm-agents, agent-framework, agent-memory

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 agentscope-ai/ReMe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Pinecone
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Pinecone · recommended 1×
  2. Weaviate · recommended 1×
  3. Qdrant · recommended 1×
  4. Chroma · recommended 1×
  5. Elasticsearch · recommended 1×
  • CATEGORY QUERY
    How can I implement persistent, searchable long-term memory for my AI agent applications?
    you: not recommended
    AI recommended (in order):
    1. Pinecone
    2. Weaviate
    3. Qdrant
    4. Chroma
    5. Elasticsearch
    6. PostgreSQL

    AI recommended 6 alternatives but never named agentscope-ai/ReMe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help agents manage evolving knowledge bases using file-based memory structures?
    you: not recommended
    AI recommended (in order):
    1. Obsidian
    2. Logseq (logseq/logseq)
    3. Joplin (laurent22/joplin)
    4. VS Code (microsoft/vscode)
    5. Markdown All in One (yzhang-gh/vscode-markdown)
    6. Foam (foambubble/foam)
    7. GitLens (gitkraken/vscode-gitlens)
    8. TiddlyWiki (TiddlyWiki/tiddlywiki5)
    9. Zim Desktop Wiki (zim-desktop-wiki/zim-desktop-wiki)
    10. Git

    AI recommended 10 alternatives but never named agentscope-ai/ReMe. 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 agentscope-ai/ReMe?
    pass
    AI named agentscope-ai/ReMe explicitly

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

  • If a team adopts agentscope-ai/ReMe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named agentscope-ai/ReMe 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 agentscope-ai/ReMe solve, and who is the primary audience?
    pass
    AI named agentscope-ai/ReMe 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 agentscope-ai/ReMe. 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/agentscope-ai/ReMe.svg)](https://repogeo.com/en/r/agentscope-ai/ReMe)
HTML
<a href="https://repogeo.com/en/r/agentscope-ai/ReMe"><img src="https://repogeo.com/badge/agentscope-ai/ReMe.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

agentscope-ai/ReMe — 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