RRepoGEO

REPOGEO REPORT · LITE

CommandCodeAI/BaseAI

Default branch main · commit 17c75fa4 · scanned 5/19/2026, 8:53:41 PM

GitHub: 1,246 stars · 111 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
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 CommandCodeAI/BaseAI, 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
  • highabout#1
    Update repository description to reflect archived status

    Why:

    CURRENT
    BaseAI — The Web AI Framework. The easiest way to build serverless autonomous AI agents with memory. Start building local-first, agentic pipes, tools, and memory. Deploy serverless with one command.
    COPY-PASTE FIX
    BaseAI is an archived Web AI Framework, now superseded by Langbase AI Primitives. It serves as an example for building serverless autonomous AI agents with memory, pipes, and tools.
  • highreadme#2
    Reposition README introduction to clarify archived status and purpose

    Why:

    CURRENT
    > BaseAI is now archived in the favor of Langbase AI Primitives. The more we built BaseAI the more we realized frameworks are a bad idea in AI engineering. This space is moving fast and frameworks become blockers. Instead you should be using AI primitives, like memory, pipes, agents that work with any language as APIs and with TypeScript and Python SDKs. You can use any coding agent, like CommandCode to make your own AI framework with these AI primitives. BaseAI is a great example how.
    COPY-PASTE FIX
    This repository for BaseAI is now archived, superseded by Langbase AI Primitives. While BaseAI was a Web AI Framework for building serverless autonomous AI agents, we now advocate for using AI primitives (memory, pipes, agents) as APIs and SDKs (TypeScript, Python) for greater flexibility. BaseAI remains a valuable example of how to construct such a system.
  • mediumreadme#3
    Add explicit license clarification to README

    Why:

    COPY-PASTE FIX
    ## License
This project is licensed under [Specify License Name(s) here, e.g., 'a custom license combining Apache 2.0 and MIT terms']. Please refer to the LICENSE file for full details.

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 CommandCodeAI/BaseAI
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. OpenAI Assistants API · recommended 2×
  3. LlamaIndex · recommended 2×
  4. LangServe · recommended 1×
  5. AWS Lambda · recommended 1×
  • CATEGORY QUERY
    How can I build serverless autonomous AI agents with memory and tools?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LangServe
    3. OpenAI Assistants API
    4. LlamaIndex
    5. AWS Lambda
    6. Google Cloud Functions
    7. Azure Functions
    8. Pinecone
    9. Weaviate
    10. Qdrant
    11. FaunaDB
    12. DynamoDB
    13. MongoDB Atlas
    14. Zapier NLA
    15. Pipedream
    16. Make

    AI recommended 16 alternatives but never named CommandCodeAI/BaseAI. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What framework helps develop AI agent pipes locally and deploy them serverless easily?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Haystack
    4. OpenAI Assistants API
    5. Microsoft Semantic Kernel
    6. CrewAI

    AI recommended 6 alternatives but never named CommandCodeAI/BaseAI. 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 CommandCodeAI/BaseAI?
    pass
    AI named CommandCodeAI/BaseAI explicitly

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

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

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

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CommandCodeAI/BaseAI — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite