RRepoGEO

REPOGEO REPORT · LITE

awslabs/cli-agent-orchestrator

Default branch main · commit 7a7d1e12 · scanned 6/10/2026, 10:41:16 PM

GitHub: 695 stars · 125 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
23 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 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 awslabs/cli-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 sentence to emphasize its unique niche

    Why:

    CURRENT
    CLI Agent Orchestrator (CAO) is an open-source multi-agent orchestration framework for AI coding CLIs — Claude Code, Kiro CLI, Codex CLI, Gemini CLI, Hermes Agent, Kimi CLI, GitHub Copilot CLI, OpenCode, and Amazon Q Developer CLI.
    COPY-PASTE FIX
    CLI Agent Orchestrator (CAO) is an open-source multi-agent orchestration framework *specifically designed for coordinating multiple local AI coding CLIs* — Claude Code, Kiro CLI, Codex CLI, Gemini CLI, Hermes Agent, Kimi CLI, GitHub Copilot CLI, OpenCode, and Amazon Q Developer CLI.
  • hightopics#2
    Add relevant topics to improve categorization

    Why:

    COPY-PASTE FIX
    ai-agents, cli, orchestration, multi-agent, coding-assistant, developer-tools, aws-labs, tmux, python
  • mediumabout#3
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    An open-source multi-agent orchestration framework for coordinating multiple local AI coding CLIs (e.g., Claude Code, Amazon Q Developer CLI) in isolated tmux sessions.

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 awslabs/cli-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. AutoGPT · recommended 1×
  3. BabyAGI · recommended 1×
  4. Microsoft Semantic Kernel · recommended 1×
  5. OpenAI API · recommended 1×
  • CATEGORY QUERY
    How to orchestrate multiple AI coding assistants for complex development tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGPT
    3. BabyAGI
    4. Microsoft Semantic Kernel
    5. OpenAI API
    6. Anthropic API
    7. requests
    8. json
    9. GitHub Actions
    10. GitLab CI/CD
    11. Zapier
    12. Make

    AI recommended 12 alternatives but never named awslabs/cli-agent-orchestrator. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Tool to coordinate several local AI coding CLIs with a supervisor agent?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. CrewAI (joaomdmoura/crewai)
    4. Autogen (microsoft/autogen)
    5. Haystack (deepset-ai/haystack)
    6. Open Interpreter (KillianLucas/open-interpreter)

    AI recommended 6 alternatives but never named awslabs/cli-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
    fail

    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 awslabs/cli-agent-orchestrator?
    pass
    AI did not name awslabs/cli-agent-orchestrator — 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 awslabs/cli-agent-orchestrator in production, what risks or prerequisites should they evaluate first?
    pass
    AI named awslabs/cli-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 awslabs/cli-agent-orchestrator solve, and who is the primary audience?
    pass
    AI named awslabs/cli-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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awslabs/cli-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