RRepoGEO

REPOGEO REPORT · LITE

VRSEN/agency-swarm

Default branch main · commit 13d05505 · scanned 6/19/2026, 2:56:36 AM

GitHub: 4,452 stars · 1,060 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 VRSEN/agency-swarm, 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, multi-agent-systems, agent-orchestration, openai-agents, framework, python, llm-agents
  • highreadme#2
    Strengthen README's opening to explicitly state its category

    Why:

    CURRENT
    # 🐝 Agency Swarm

## Overview

The **Agency Swarm** is a framework for building multi-agent applications. It leverages and extends the OpenAI Agents SDK, providing specialized features for creating, orchestrating, and managing collaborative swarms of AI agents.
    COPY-PASTE FIX
    # 🐝 Agency Swarm: The Multi-Agent Orchestration Framework

## Overview

The **Agency Swarm** is a robust framework for building and orchestrating complex multi-agent applications. It leverages and extends the OpenAI Agents SDK, providing specialized features for creating, managing, and deploying collaborative swarms of AI agents.
  • mediumreadme#3
    Add a dedicated 'Core Differentiator' section to the README

    Why:

    COPY-PASTE FIX
    ## Core Differentiator

Unlike other frameworks, Agency Swarm excels with its **structured, hierarchical delegation model**. This unique approach allows a 'boss' agent to delegate complex tasks to specialized 'sub-agents' within a defined 'agency' structure, facilitating advanced task decomposition and execution through clear chains of command.

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 VRSEN/agency-swarm
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 2×
  3. CrewAI · recommended 2×
  4. Haystack · recommended 2×
  5. LlamaIndex · recommended 2×
  • CATEGORY QUERY
    How to build and manage applications requiring multiple collaborating AI agents?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. CrewAI
    4. Haystack
    5. LlamaIndex
    6. OpenAI Assistants API
    7. TaskWeaver

    AI recommended 7 alternatives but never named VRSEN/agency-swarm. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What frameworks exist for orchestrating AI agent teams with defined roles and responsibilities?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain
    4. LlamaIndex
    5. Haystack
    6. OpenAI Assistants API

    AI recommended 6 alternatives but never named VRSEN/agency-swarm. 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 VRSEN/agency-swarm?
    pass
    AI did not name VRSEN/agency-swarm — 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 VRSEN/agency-swarm in production, what risks or prerequisites should they evaluate first?
    pass
    AI named VRSEN/agency-swarm 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 VRSEN/agency-swarm solve, and who is the primary audience?
    pass
    AI named VRSEN/agency-swarm explicitly

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

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VRSEN/agency-swarm — 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