RRepoGEO

REPOGEO REPORT · LITE

fujibee/agmsg

Default branch main · commit fae6d6ce · scanned 6/17/2026, 2:47:58 AM

GitHub: 632 stars · 46 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 fujibee/agmsg, 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 README H1 and first sentence to clarify core tech and purpose

    Why:

    CURRENT
    # agmsg
    Cross-agent messaging for CLI AI agents. No daemon, no network, no complexity.
    COPY-PASTE FIX
    # agmsg: Cross-vendor messaging for CLI AI coding agents (Bash + SQLite)
    Enable Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, and any other CLI agent to talk to each other directly through a shared local SQLite database, all powered by Bash. No daemon, no network, no complexity.
  • highreadme#2
    Add a 'Key Differentiators' section to the README

    Why:

    COPY-PASTE FIX
    ## Key Differentiators
    *   **Simple & Daemon-Free:** Just `bash` and `sqlite3` – no extra runtime, no complex setup.
    *   **Local & Private:** All communication happens via a shared local SQLite file, ensuring privacy and no network overhead.
    *   **Cross-Vendor CLI Agent Communication:** Designed specifically for different CLI AI coding agents (Claude Code, Codex, Gemini CLI, Copilot CLI) to collaborate as peers.
    *   **Not a Message Queue/Framework:** Unlike LangChain or Kafka, `agmsg` is a minimalist peer-to-peer communication layer, not an orchestration framework or distributed queue.
  • mediumabout#3
    Update the repository's 'About' description to lead with 'Bash + SQLite'

    Why:

    CURRENT
    Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. Bash + SQLite, no daemon, no framework.
    COPY-PASTE FIX
    Bash + SQLite: Cross-vendor messaging for CLI AI coding agents — let Claude Code, Codex, Gemini & Copilot talk to each other in one team. No daemon, no framework.

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 fujibee/agmsg
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
LangChain
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 1×
  2. CrewAI · recommended 1×
  3. AutoGen · recommended 1×
  4. Open Interpreter · recommended 1×
  5. subprocess module · recommended 1×
  • CATEGORY QUERY
    How can I make multiple command-line AI agents communicate directly for collaborative tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. CrewAI
    3. AutoGen
    4. Open Interpreter
    5. subprocess module
    6. RabbitMQ
    7. Redis Pub/Sub
    8. pika
    9. redis-py
    10. gRPC
    11. ZeroMQ

    AI recommended 11 alternatives but never named fujibee/agmsg. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What's a simple, daemon-free method for AI coding agents to exchange messages locally?
    you: not recommended
    AI recommended (in order):
    1. multiprocessing.Queue
    2. queue.Queue
    3. socket module
    4. shared_memory module
    5. sqlite3
    6. redis-py (redis/redis-py)
    7. Redis (redis/redis)

    AI recommended 7 alternatives but never named fujibee/agmsg. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    pass

  • 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 fujibee/agmsg?
    pass
    AI named fujibee/agmsg explicitly

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

  • If a team adopts fujibee/agmsg in production, what risks or prerequisites should they evaluate first?
    pass
    AI named fujibee/agmsg 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 fujibee/agmsg solve, and who is the primary audience?
    pass
    AI named fujibee/agmsg explicitly

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

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fujibee/agmsg — 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