RRepoGEO

REPOGEO REPORT · LITE

bcurts/agentchattr

Default branch main · commit 0440f5d9 · scanned 5/16/2026, 11:37:00 AM

GitHub: 1,331 stars · 199 forks

AI VISIBILITY SCORE
28 /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
2 / 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 bcurts/agentchattr, 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

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Reposition README opening to clarify unique value

    Why:

    CURRENT
    A local chat server for real-time coordination between AI coding agents and humans. Ships with built-in support for **Claude Code**, **Codex**, **Gemini CLI**, **GitHub Copilot CLI**, **Kimi**, **Qwen**, **Kilo CLI**, **CodeBuddy**, and **MiniMax** — and any MCP-compatible agent can join.
    COPY-PASTE FIX
    agentchattr is a local chat server purpose-built for real-time coordination between AI coding agents and humans. Unlike generic chat platforms, it enables hands-free conversation and task coordination among AI coding agents, with built-in support for Claude Code, Codex, Gemini CLI, GitHub Copilot CLI, Kimi, Qwen, Kilo CLI, CodeBuddy, and MiniMax — and any MCP-compatible agent can join.
  • mediumhomepage#2
    Add a homepage URL to repository metadata

    Why:

    COPY-PASTE FIX
    https://[your-project-homepage-url-here]

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 bcurts/agentchattr
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
mattermost/mattermost-server
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. mattermost/mattermost-server · recommended 1×
  2. psf/requests · recommended 1×
  3. RocketChat/Rocket.Chat · recommended 1×
  4. hubotio/hubot · recommended 1×
  5. processone/ejabberd · recommended 1×
  • CATEGORY QUERY
    How can I set up a local chat environment for multiple AI coding agents and humans?
    you: not recommended
    AI recommended (in order):
    1. Mattermost (mattermost/mattermost-server)
    2. requests (psf/requests)
    3. Rocket.Chat (RocketChat/Rocket.Chat)
    4. Hubot (hubotio/hubot)
    5. ejabberd (processone/ejabberd)
    6. Prosody (prosody/prosody)
    7. sleekxmpp (fritzy/SleekXMPP)
    8. xmpppy (xmpppy/xmpppy)
    9. Pidgin (pidgin/pidgin)
    10. Gajim (gajim/gajim)
    11. Conversations (siacs/Conversations)
    12. InspIRCd (inspircd/inspircd)
    13. ngIRCd (ngircd/ngircd)
    14. irc (jaraco/irc)
    15. HexChat (hexchat/hexchat)
    16. mIRC
    17. irssi (irssi/irssi)
    18. Flask (pallets/flask)
    19. Django (django/django)
    20. Flask-SocketIO (miguelgrinberg/Flask-SocketIO)
    21. Django Channels (django/channels)

    AI recommended 21 alternatives but never named bcurts/agentchattr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to facilitate hands-free conversation and task coordination among local AI coding agents.
    you: not recommended
    AI recommended (in order):
    1. Open Interpreter (KillianLucas/open-interpreter)
    2. AutoGPT (Significant-Gravitas/AutoGPT)
    3. LangChain (langchain-ai/langchain)
    4. Ollama (ollama/ollama)
    5. Llama.cpp (ggerganov/llama.cpp)
    6. CrewAI (joaomdmoura/crewAI)
    7. BabyAGI (yoheinakajima/babyagi)
    8. Hugging Face Transformers (huggingface/transformers)

    AI recommended 8 alternatives but never named bcurts/agentchattr. 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 bcurts/agentchattr?
    pass
    AI did not name bcurts/agentchattr — 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 bcurts/agentchattr in production, what risks or prerequisites should they evaluate first?
    pass
    AI named bcurts/agentchattr 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 bcurts/agentchattr solve, and who is the primary audience?
    pass
    AI named bcurts/agentchattr 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 bcurts/agentchattr. 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/bcurts/agentchattr.svg)](https://repogeo.com/en/r/bcurts/agentchattr)
HTML
<a href="https://repogeo.com/en/r/bcurts/agentchattr"><img src="https://repogeo.com/badge/bcurts/agentchattr.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

bcurts/agentchattr — 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