RRepoGEO

REPOGEO REPORT · LITE

bcurts/agentchattr

Default branch main · commit b8a0966c · scanned 6/27/2026, 8:16:59 AM

GitHub: 1,394 stars · 217 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 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

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

OVERALL DIRECTION
  • hightopics#1
    Add comprehensive topics

    Why:

    COPY-PASTE FIX
    ai-agents, multi-agent-system, llm-agents, agent-orchestration, local-ai, chat-server, human-in-the-loop, coding-agents, developer-tools, python
  • highabout#2
    Refine the "About" description for clarity

    Why:

    CURRENT
    Free, local chat where AI coding agents can tag each other, talk, and coordinate with you.
    COPY-PASTE FIX
    A free, local chat server for real-time coordination and orchestration of multi-agent AI systems, enabling coding agents to talk and coordinate with humans.
  • mediumreadme#3
    Enhance README H1 for immediate context

    Why:

    CURRENT
    # agentchattr
    COPY-PASTE FIX
    # agentchattr: Local Chat Server for Multi-Agent AI Coordination

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
CrewAI
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. CrewAI · recommended 1×
  2. LangChain · recommended 1×
  3. AutoGen · recommended 1×
  4. Open Interpreter · recommended 1×
  5. Docker Compose · recommended 1×
  • CATEGORY QUERY
    What's a good way to coordinate multiple AI coding agents locally?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. LangChain
    3. AutoGen
    4. Open Interpreter
    5. Docker Compose
    6. multiprocessing
    7. asyncio

    AI recommended 7 alternatives but never named bcurts/agentchattr. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I get AI agents to talk to each other and me in a chat?
    you: not recommended
    AI recommended (in order):
    1. AutoGen (microsoft/autogen)
    2. LangChain (langchain-ai/langchain)
    3. CrewAI (joaomdmoura/crewai)
    4. LlamaIndex (run-llama/llama_index)
    5. Haystack (deepset-ai/haystack)
    6. OpenAI Assistants API
    7. OpenAI API
    8. Anthropic API
    9. Google Gemini API

    AI recommended 9 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 named bcurts/agentchattr explicitly

    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?

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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