RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/langgraph-swarm-py

Default branch main · commit 16ba1763 · scanned 5/22/2026, 1:32:03 PM

GitHub: 1,495 stars · 211 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
33 /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
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 langchain-ai/langgraph-swarm-py, 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
    Strengthen README's opening paragraph to emphasize unique value

    Why:

    CURRENT
    A Python library for creating swarm-style multi-agent systems using LangGraph. A swarm is a type of multi-agent architecture where agents dynamically hand off control to one another based on their specializations.
    COPY-PASTE FIX
    A Python library for building **swarm-style multi-agent systems** with LangGraph, enabling agents to **dynamically hand off control** based on their specializations for seamless, context-aware collaboration. This library provides robust tools for orchestrating complex agent interactions and maintaining conversational state.
  • mediumabout#2
    Refine the repository description for specificity

    Why:

    CURRENT
    For your multi-agent needs
    COPY-PASTE FIX
    A Python library for creating swarm-style multi-agent systems with dynamic agent handoff using LangGraph.
  • mediumtopics#3
    Add more specific topics related to dynamic agent orchestration

    Why:

    CURRENT
    agents, langgraph, llms, multiagent, multiagent-systems, python
    COPY-PASTE FIX
    agents, langgraph, llms, multiagent, multiagent-systems, python, dynamic-handoff, agent-orchestration, agent-collaboration

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 langchain-ai/langgraph-swarm-py
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. Haystack · recommended 2×
  4. SPADE · recommended 2×
  5. Mesa · recommended 1×
  • CATEGORY QUERY
    How to build a multi-agent system where agents dynamically hand off tasks?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. AutoGen
    3. Haystack
    4. Mesa
    5. SPADE
    6. Akka

    AI recommended 6 alternatives but never named langchain-ai/langgraph-swarm-py. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Python library for creating specialized AI agents that collaborate and share context?
    you: not recommended
    AI recommended (in order):
    1. CrewAI
    2. AutoGen
    3. LangChain
    4. LlamaIndex
    5. Haystack
    6. SPADE

    AI recommended 6 alternatives but never named langchain-ai/langgraph-swarm-py. 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 langchain-ai/langgraph-swarm-py?
    pass
    AI named langchain-ai/langgraph-swarm-py explicitly

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

  • If a team adopts langchain-ai/langgraph-swarm-py in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/langgraph-swarm-py 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 langchain-ai/langgraph-swarm-py solve, and who is the primary audience?
    pass
    AI did not name langchain-ai/langgraph-swarm-py — 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?

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langchain-ai/langgraph-swarm-py — 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