RRepoGEO

REPOGEO REPORT · LITE

berabuddies/agentflow

Default branch master · commit 82209eaa · scanned 7/1/2026, 4:32:53 AM

GitHub: 1,306 stars · 277 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
28 /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
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 berabuddies/agentflow, 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 relevant topics to the repository

    Why:

    COPY-PASTE FIX
    ai-agents, agent-orchestration, multi-agent-systems, workflow-automation, llm-orchestration, graph-based
  • highreadme#2
    Strengthen README's opening sentence to highlight graph-based differentiation

    Why:

    CURRENT
    Orchestrate codex, claude, and kimi agents in dependency graphs with parallel fanout, iterative cycles, and remote execution on SSH/EC2/ECS.
    COPY-PASTE FIX
    AgentFlow: A powerful, graph-based framework to programmatically orchestrate thousands of AI agents (Codex, Claude, Kimi) in complex dependency graphs, enabling parallel fanout, iterative cycles, and remote execution on SSH/EC2/ECS.
  • mediumcomparison#3
    Add a 'Comparison to Alternatives' section in the README

    Why:

    COPY-PASTE FIX
    ## Comparison to Alternatives

AgentFlow differentiates itself from general-purpose orchestration frameworks like LangChain, LlamaIndex, or Prefect by focusing specifically on programmatic, graph-based orchestration of AI agents. While others offer flexible components, AgentFlow's core strength lies in defining complex multi-agent workflows as explicit dependency graphs, enabling advanced features like parallel fanout, iterative cycles, and remote execution with a clear, declarative structure.

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 berabuddies/agentflow
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. Microsoft Semantic Kernel · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Haystack · recommended 1×
  5. Prefect · recommended 1×
  • CATEGORY QUERY
    How can I programmatically orchestrate complex AI agent workflows using a graph-based approach?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. Microsoft Semantic Kernel
    3. LlamaIndex
    4. Haystack
    5. Prefect
    6. Apache Airflow
    7. Kestra

    AI recommended 7 alternatives but never named berabuddies/agentflow. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools help run thousands of AI agents with parallel execution across remote machines?
    you: not recommended
    AI recommended (in order):
    1. Kubernetes
    2. Ray
    3. Apache Mesos
    4. Marathon
    5. Aurora
    6. AWS Batch
    7. Google Cloud Batch
    8. Azure Batch
    9. Celery
    10. RabbitMQ
    11. Redis
    12. Dask Distributed
    13. OpenFaaS
    14. Kubeless
    15. Knative

    AI recommended 15 alternatives but never named berabuddies/agentflow. 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 berabuddies/agentflow?
    pass
    AI did not name berabuddies/agentflow — 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 berabuddies/agentflow in production, what risks or prerequisites should they evaluate first?
    pass
    AI named berabuddies/agentflow 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 berabuddies/agentflow solve, and who is the primary audience?
    pass
    AI named berabuddies/agentflow explicitly

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

Embed your GEO score

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berabuddies/agentflow — 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