RRepoGEO

REPOGEO REPORT · LITE

ComposioHQ/agent-orchestrator

Default branch main · commit 667d1ded · scanned 5/16/2026, 11:16:48 PM

GitHub: 7,077 stars · 957 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)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 ComposioHQ/agent-orchestrator, 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 to specify 'coding agents'

    Why:

    CURRENT
    <h1 align="center">Agent Orchestrator — The Orchestration Layer for Parallel AI Agents</h1>
    COPY-PASTE FIX
    <h1 align="center">Agent Orchestrator — The Orchestration Layer for Parallel AI Coding Agents</h1>
  • mediumreadme#2
    Add a 'Why Agent Orchestrator?' comparison section to README

    Why:

    COPY-PASTE FIX
    ## Why Agent Orchestrator?

Agent Orchestrator is purpose-built for developers and engineering teams. Unlike general AI agent frameworks (e.g., LangChain, AutoGen) that focus on broad task automation, we specialize in orchestrating AI *coding* agents to manage and evolve your codebase. We go beyond single-agent coding assistants or traditional CI/CD tools by coordinating entire fleets of agents to autonomously handle complex development workflows, from fixing CI failures to addressing code review comments and managing merge conflicts.
  • lowtopics#3
    Add more specific topics for developer tools and code automation

    Why:

    CURRENT
    agent-fleet, agent-swarm, claude-code, codex-cli, git-worktrees, multi-agent, orchestration, orchestrator, parallel-agents, parallel-coding, skills, tmux
    COPY-PASTE FIX
    agent-fleet, agent-swarm, claude-code, codex-cli, git-worktrees, multi-agent, orchestration, orchestrator, parallel-agents, parallel-coding, skills, tmux, code-automation, developer-tools

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 ComposioHQ/agent-orchestrator
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. MetaGPT · recommended 1×
  3. CrewAI · recommended 1×
  4. Autogen · recommended 1×
  5. GitHub Actions · recommended 1×
  • CATEGORY QUERY
    How to manage a fleet of AI coding agents working in parallel on a codebase?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. MetaGPT
    3. CrewAI
    4. Autogen
    5. GitHub Actions
    6. GitLab CI/CD
    7. Kubernetes
    8. Dify
    9. Flowise

    AI recommended 9 alternatives but never named ComposioHQ/agent-orchestrator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to automate code review and CI fixes using multiple AI agents?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot Enterprise
    2. Continue.dev
    3. CodiumAI
    4. DeepSource
    5. GitLab Duo
    6. Reviewdog

    AI recommended 6 alternatives but never named ComposioHQ/agent-orchestrator. 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 ComposioHQ/agent-orchestrator?
    pass
    AI named ComposioHQ/agent-orchestrator explicitly

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

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

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

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ComposioHQ/agent-orchestrator — 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