RRepoGEO

REPOGEO REPORT · LITE

openai/harmony

Default branch main · commit abd677f7 · scanned 6/26/2026, 4:23:45 AM

GitHub: 4,424 stars · 288 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
35 /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
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 openai/harmony, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    llm, response-format, gpt-oss, inference, structured-output, function-calling, tool-calling, conversation-format
  • highreadme#2
    Reposition README opening to clarify public status and core function

    Why:

    CURRENT
    The [gpt-oss models][gpt-oss] were trained on the [harmony response format][harmony-format] for defining conversation structures, generating reasoning output and structuring function calls.
    COPY-PASTE FIX
    This public repository provides the **OpenAI Harmony response format specification and its renderer**, designed for use with OpenAI's open-weight `gpt-oss` models in custom inference solutions. It enables structured conversation, chain-of-thought, and function/tool calling capabilities.
  • mediumhomepage#3
    Add a homepage URL to the About section

    Why:

    COPY-PASTE FIX
    https://gpt-oss.com

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 openai/harmony
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Hugging Face Transformers Library
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Hugging Face Transformers Library · recommended 1×
  2. LangChain · recommended 1×
  3. Llama.cpp · recommended 1×
  4. Ollama · recommended 1×
  5. Pydantic · recommended 1×
  • CATEGORY QUERY
    How to implement structured conversation formats for open-source LLMs in custom inference?
    you: not recommended
    AI recommended (in order):
    1. Hugging Face Transformers Library
    2. LangChain
    3. Llama.cpp
    4. Ollama
    5. Pydantic
    6. Guidance
    7. JSON Schema

    AI recommended 7 alternatives but never named openai/harmony. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a standard response format for self-hosted language models with function calling capabilities.
    you: not recommended
    AI recommended (in order):
    1. OpenAI Function Calling API Format
    2. LlamaIndex (run-llama/llama_index)
    3. LangChain (langchain-ai/langchain)
    4. Pydantic (pydantic/pydantic)
    5. jsonschema (python-jsonschema/jsonschema)

    AI recommended 5 alternatives but never named openai/harmony. 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 openai/harmony?
    pass
    AI named openai/harmony explicitly

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

  • If a team adopts openai/harmony in production, what risks or prerequisites should they evaluate first?
    pass
    AI named openai/harmony 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 openai/harmony solve, and who is the primary audience?
    pass
    AI named openai/harmony explicitly

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

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openai/harmony — 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