RRepoGEO

REPOGEO REPORT · LITE

AgentWrapper/agent-orchestrator

Default branch main · commit 5897b4e8 · scanned 6/13/2026, 1:56:16 AM

GitHub: 7,523 stars · 1,025 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 AgentWrapper/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 the README's opening paragraph to emphasize its specific niche for software development teams.

    Why:

    CURRENT
    Spawn parallel AI coding agents, each in its own git worktree. Agents autonomously fix CI failures, address review comments, and open PRs — you supervise from one dashboard.
    COPY-PASTE FIX
    For software teams struggling with CI/CD bottlenecks and manual code review cycles, Agent Orchestrator provides an autonomous layer for parallel AI coding agents. It plans tasks, spawns agents in isolated git worktrees, and enables them to autonomously fix CI failures, address review comments, and open PRs, allowing human developers to supervise from a single dashboard.
  • mediumtopics#2
    Add more specific topics related to AI in software development and CI/CD 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, ci-automation, code-review-automation, devops-automation, software-development-ai, ai-for-devs, pr-automation
  • mediumcomparison#3
    Add a 'Comparison' section to the README to differentiate from common alternatives.

    Why:

    COPY-PASTE FIX
    ## How Agent Orchestrator Compares

Unlike general agent frameworks like LangChain or AutoGen, Agent Orchestrator is purpose-built for orchestrating *parallel AI coding agents* within a software development workflow. While tools like GitHub Copilot or CodiumAI assist individual developers, Agent Orchestrator manages entire fleets of agents to autonomously handle CI failures, merge conflicts, and code reviews across a codebase, freeing up human developers for higher-level tasks.

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 AgentWrapper/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 2 of 2 queries
COMPETITOR LEADERBOARD
  1. LangChain · recommended 2×
  2. AutoGen · recommended 1×
  3. CrewAI · recommended 1×
  4. Haystack · recommended 1×
  5. OpenAI Assistants API · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI coding agents working in parallel on a software project?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. OpenAI Assistants API
    6. Prefect
    7. Apache Airflow
    8. Kubernetes

    AI recommended 8 alternatives but never named AgentWrapper/agent-orchestrator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools enable AI agents to autonomously fix CI issues and handle code review feedback?
    you: not recommended
    AI recommended (in order):
    1. GitHub Copilot for Pull Requests
    2. Continue.dev
    3. CodiumAI
    4. Sweatpants.ai
    5. Auto-GPT
    6. BabyAGI
    7. LangChain
    8. LlamaIndex
    9. DeepSource
    10. SonarQube

    AI recommended 10 alternatives but never named AgentWrapper/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 AgentWrapper/agent-orchestrator?
    pass
    AI named AgentWrapper/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 AgentWrapper/agent-orchestrator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named AgentWrapper/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 AgentWrapper/agent-orchestrator solve, and who is the primary audience?
    pass
    AI named AgentWrapper/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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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite