RRepoGEO

REPOGEO REPORT · LITE

firstbatchxyz/mem-agent-mcp

Default branch main · commit 2eabdbe5 · scanned 6/8/2026, 7:13:02 PM

GitHub: 624 stars · 98 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 firstbatchxyz/mem-agent-mcp, 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
  • hightopics#1
    Add specific topics for AI agent memory and orchestration

    Why:

    COPY-PASTE FIX
    ai-agents, memory-system, llm-orchestration, agent-framework, obsidian-like, local-llm, mcp-server
  • highabout#2
    Expand the repository description for clarity

    Why:

    CURRENT
    mem-agent mcp server
    COPY-PASTE FIX
    An MCP server for firstbatchxyz/mem-agent, enabling local LLM agents to interact with an Obsidian-like reflective memory system on macOS and Linux.
  • mediumreadme#3
    Strengthen the README's opening sentence to highlight the core value

    Why:

    CURRENT
    # mem-agent-mcp

This is an MCP server for our model driaforall/mem-agent, which can be connected to apps like Claude Desktop or Lm Studio to interact with an obsidian-like memory system.
    COPY-PASTE FIX
    # mem-agent-mcp

**mem-agent-mcp is an MCP server that provides a sophisticated, reflective memory system for local AI agents.** It connects to models like driaforall/mem-agent and integrates with apps such as Claude Desktop or LM Studio, offering an Obsidian-like persistent memory experience for your AI.

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 firstbatchxyz/mem-agent-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LlamaIndex
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LlamaIndex · recommended 2×
  2. Ollama · recommended 2×
  3. LM Studio · recommended 2×
  4. Chroma · recommended 1×
  5. Obsidian Sync · recommended 1×
  • CATEGORY QUERY
    How can I integrate local LLM agents with an Obsidian-like persistent memory system?
    you: not recommended
    AI recommended (in order):
    1. LlamaIndex
    2. Chroma
    3. Ollama
    4. LM Studio
    5. Obsidian Sync

    AI recommended 5 alternatives but never named firstbatchxyz/mem-agent-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help run a local server for AI agents on macOS or Linux with memory?
    you: not recommended
    AI recommended (in order):
    1. Ollama
    2. LocalAI
    3. LM Studio
    4. LiteLLM
    5. LangChain
    6. LlamaIndex
    7. Haystack
    8. PrivateGPT

    AI recommended 8 alternatives but never named firstbatchxyz/mem-agent-mcp. 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 firstbatchxyz/mem-agent-mcp?
    pass
    AI named firstbatchxyz/mem-agent-mcp explicitly

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

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

Subscribe to Pro for deep diagnoses

firstbatchxyz/mem-agent-mcp — 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
firstbatchxyz/mem-agent-mcp — RepoGEO report