RRepoGEO

REPOGEO REPORT · LITE

7as0nch/mimo2codex

Default branch main · commit 44f45939 · scanned 6/12/2026, 7:42:10 AM

GitHub: 571 stars · 57 forks

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 7as0nch/mimo2codex, 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
    Clarify README opening to counter AI's misinterpretation

    Why:

    CURRENT
    Local proxy that lets the **latest OpenAI Codex CLI / desktop** talk to virtually any modern LLM. Built-in support for **Xiaomi MiMo V2.5** and **DeepSeek V4 Pro**, plus a **generic provider mechanism** for any **OpenAI Chat Completions-compatible** (Qwen / GLM / Kimi / vLLM / Ollama / LM Studio …) or **native Responses API** upstream — no code changes, no re-publish. It translates Codex's Responses API ↔ upstream Chat Completions on the fly, routes per-request by the `model` field, and runs on `127.0.0.1`.
    COPY-PASTE FIX
    **mimo2codex is a local proxy for OpenAI Codex, enabling it to connect to any modern LLM. It is not a tool for converting Mimo code snippets.** Built-in support for **Xiaomi MiMo V2.5** and **DeepSeek V4 Pro**, plus a **generic provider mechanism** for any **OpenAI Chat Completions-compatible** (Qwen / GLM / Kimi / vLLM / Ollama / LM Studio …) or **native Responses API** upstream — no code changes, no re-publish. It translates Codex's Responses API ↔ upstream Chat Completions on the fly, routes per-request by the `model` field, and runs on `127.0.0.1`.
  • mediumtopics#2
    Expand topics to include proxy and LLM integration keywords

    Why:

    CURRENT
    codex, deepseek, macos, mimo, mimo2codex, minimax, npm, windows
    COPY-PASTE FIX
    codex, deepseek, macos, mimo, mimo2codex, minimax, npm, windows, llm-proxy, api-gateway, code-generation, openai-api, llm-integration, local-llm, protocol-translation
  • lowabout#3
    Update 'About' description to be more concise and explicit about proxy function

    Why:

    CURRENT
    让最新版 OpenAI Codex CLI / Codex 桌面端接入主流大模型的本地代理(新增mac/win包支持，后台运行，开机自动重启)。内置 小米 MiMo V2.5/DeepSeek V4 Pro，并提供通用 provider 机制，**OpenAI Chat Completions 兼容**（Qwen / GLM / Kimi / 本地 vLLM / Ollama / LM Studio …）或**原生 Responses API**（OpenAI 自家）的上游接到新版 Codex。把 Codex 的 Responses API 实时翻译成上游的 Chat Completions API，按客户端发的 `model` 字段在 provider 之间自动路由.
    COPY-PASTE FIX
    Local proxy for OpenAI Codex CLI/desktop to connect to any modern LLM (e.g., MiMo V2.5, DeepSeek V4 Pro, Qwen, GLM, Kimi, vLLM, Ollama, LM Studio). It translates Codex's Responses API to upstream Chat Completions API, routing by model. Supports macOS/Windows, runs in background, auto-restarts. *Not a Mimo code converter.*

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 7as0nch/mimo2codex
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
BerriAI/litellm
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. BerriAI/litellm · recommended 2×
  2. langchain-ai/langchain · recommended 1×
  3. run-llama/llama_index · recommended 1×
  4. huggingface/transformers · recommended 1×
  5. googleapis/python-aiplatform · recommended 1×
  • CATEGORY QUERY
    How can I connect my OpenAI code assistant client to other large language models?
    you: not recommended
    AI recommended (in order):
    1. LangChain (langchain-ai/langchain)
    2. LlamaIndex (run-llama/llama_index)
    3. Hugging Face Transformers Library (huggingface/transformers)
    4. LiteLLM (BerriAI/litellm)
    5. google-cloud-aiplatform (googleapis/python-aiplatform)
    6. AWS Bedrock
    7. Azure OpenAI Service
    8. vLLM (vllm-project/vllm)
    9. Text Generation WebUI (oobabooga/text-generation-webui)

    AI recommended 9 alternatives but never named 7as0nch/mimo2codex. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a local proxy to translate code generation tool's API for different AI model providers.
    you: not recommended
    AI recommended (in order):
    1. LiteLLM (BerriAI/litellm)
    2. Parea AI
    3. LocalAI (go-skynet/LocalAI)
    4. OpenResty (openresty/openresty)
    5. Envoy Proxy (envoyproxy/envoy)
    6. Flask (pallets/flask)
    7. FastAPI (tiangolo/fastapi)

    AI recommended 7 alternatives but never named 7as0nch/mimo2codex. 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 7as0nch/mimo2codex?
    pass
    AI named 7as0nch/mimo2codex explicitly

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

  • If a team adopts 7as0nch/mimo2codex in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 7as0nch/mimo2codex 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 7as0nch/mimo2codex solve, and who is the primary audience?
    pass
    AI named 7as0nch/mimo2codex explicitly

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

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7as0nch/mimo2codex — 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