RRepoGEO

REPOGEO REPORT · LITE

kaiban-ai/KaibanJS

Default branch main · commit ef2edabb · scanned 5/24/2026, 6:07:02 AM

GitHub: 1,438 stars · 146 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 kaiban-ai/KaibanJS, 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 the README's opening paragraph to state core purpose

    Why:

    CURRENT
    ## Kanban for AI Agents? 🤖📋

**KaibanJS** is inspired by the tried-and-true [Kanban methodology]...
    COPY-PASTE FIX
    ## KaibanJS: The JavaScript Framework for Building Multi-agent AI Systems

**KaibanJS** is a JavaScript-native framework designed for building and managing complex multi-agent AI systems. Inspired by the tried-and-true [Kanban methodology], it adapts these concepts to meet the unique challenges of AI agent management, allowing you to create, visualize, and manage AI agents, tasks, tools, and teams in real time.
  • mediumcomparison#2
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

Unlike traditional UI frameworks (e.g., React, Vue) or generic project management tools (e.g., Jira, Trello), KaibanJS is specifically engineered as a framework for orchestrating and managing *multi-agent AI systems*. While it leverages Kanban principles for organization, its core focus is on the lifecycle and interaction of AI agents, not general task management or UI rendering.
  • lowtopics#3
    Add more specific AI agent orchestration topics

    Why:

    CURRENT
    agentic, agentic-framework, agenticjs, agents, ai, javascript, kanban, langchain-js, llms, multi-agent-systems, state-management
    COPY-PASTE FIX
    agentic, agentic-framework, agenticjs, agents, ai, javascript, kanban, langchain-js, llms, multi-agent-systems, state-management, agent-orchestration, ai-workflow, agent-workflow, ai-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 kaiban-ai/KaibanJS
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Node.js
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Node.js · recommended 1×
  2. socket.io · recommended 1×
  3. rxjs · recommended 1×
  4. NestJS · recommended 1×
  5. React · recommended 1×
  • CATEGORY QUERY
    Which JavaScript framework helps build and manage complex multi-agent AI systems?
    you: not recommended
    AI recommended (in order):
    1. Node.js
    2. socket.io
    3. rxjs
    4. NestJS
    5. React
    6. Redux
    7. Zustand
    8. socket.io-client
    9. Vue.js
    10. Vuex
    11. Pinia
    12. D3.js
    13. TensorFlow.js

    AI recommended 13 alternatives but never named kaiban-ai/KaibanJS. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How to organize and track tasks for multiple AI agents using a Kanban-like approach?
    you: not recommended
    AI recommended (in order):
    1. Jira Software
    2. Trello
    3. Asana
    4. Monday.com
    5. ClickUp
    6. GitHub Projects
    7. Azure DevOps Boards

    AI recommended 7 alternatives but never named kaiban-ai/KaibanJS. 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 kaiban-ai/KaibanJS?
    pass
    AI named kaiban-ai/KaibanJS explicitly

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

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

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

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  • Brand-free category queries5 vs 2 in Lite
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