RRepoGEO

REPOGEO REPORT · LITE

langchain-ai/open-swe

Default branch main · commit fb467e84 · scanned 6/24/2026, 11:56:44 PM

GitHub: 10,042 stars · 1,141 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

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 langchain-ai/open-swe, 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 primary statement to emphasize 'software development and engineering'

    Why:

    CURRENT
    Open-source framework for building your org's internal coding agent.
    COPY-PASTE FIX
    Open-source framework for building internal AI coding agents for software development and engineering.
  • hightopics#2
    Add specific topics related to software engineering and internal developer tools

    Why:

    CURRENT
    agent, agents, ai, anthropic, claudecode, llm, llms, openai
    COPY-PASTE FIX
    agent, agents, ai, anthropic, claudecode, llm, llms, openai, software-engineering, coding-agent, developer-tools, internal-tools, swe, devops
  • mediumabout#3
    Refine the repository description for clarity and keyword density

    Why:

    CURRENT
    An Open-Source Asynchronous Coding Agent
    COPY-PASTE FIX
    An open-source framework for building internal AI coding agents to automate software development and engineering 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 langchain-ai/open-swe
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
AutoGPT
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. AutoGPT · recommended 2×
  2. LangChain · recommended 1×
  3. LlamaIndex · recommended 1×
  4. Haystack · recommended 1×
  5. Transformers · recommended 1×
  • CATEGORY QUERY
    What open-source framework can help me build an internal AI coding agent for my team?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. AutoGPT
    5. Transformers
    6. OpenAI Python Library
    7. Anthropic's Claude
    8. Google's Gemini

    AI recommended 8 alternatives but never named langchain-ai/open-swe. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Looking for a tool to create autonomous AI agents for software development and engineering tasks.
    you: not recommended
    AI recommended (in order):
    1. AutoGPT
    2. AgentGPT
    3. BabyAGI
    4. LangChain Agents
    5. CrewAI
    6. Open Interpreter

    AI recommended 6 alternatives but never named langchain-ai/open-swe. 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/open-swe?
    pass
    AI named langchain-ai/open-swe 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/open-swe in production, what risks or prerequisites should they evaluate first?
    pass
    AI named langchain-ai/open-swe 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/open-swe solve, and who is the primary audience?
    pass
    AI named langchain-ai/open-swe explicitly

    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/open-swe — 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