RRepoGEO

REPOGEO REPORT · LITE

fim-ai/fim-one

Default branch master · commit a66fa1f8 · scanned 5/23/2026, 12:37:23 AM

GitHub: 1,095 stars · 120 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 fim-ai/fim-one, 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 project identity and dispel 'FIM' confusion in README

    Why:

    CURRENT
    All-in-One Agent Platform for Global × China Enterprises.Wire every system you already run — global SaaS to the China stack — through one agent core.
    COPY-PASTE FIX
    FIM One is an **all-in-one agent platform** for Global × China enterprises, designed to wire every system through one agent core. **(Note: FIM here stands for 'Future-Integrated Machines', not 'Fill-in-the-Middle' code completion.)** It is a self-hosted, open-source solution for orchestrating enterprise systems with custom LLM agents, integrating global SaaS with the China stack.
  • mediumlicense#2
    Add license clarification to README

    Why:

    COPY-PASTE FIX
    ## License
FIM One is licensed under [insert specific license name(s) here, e.g., 'a custom license combining Apache 2.0 and MIT terms']. Please see the [LICENSE](LICENSE) file for full details.
  • lowabout#3
    Refine repository description for stronger category signal

    Why:

    CURRENT
    Open-source agent platform for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.
    COPY-PASTE FIX
    Open-source **enterprise agent orchestration platform** for Global × China enterprises — wire every system through one agent core. Self-hosted, any LLM.

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 fim-ai/fim-one
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Azure OpenAI Service
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Azure OpenAI Service · recommended 1×
  2. Logic Apps · recommended 1×
  3. Service Bus · recommended 1×
  4. API Management · recommended 1×
  5. Event Grid · recommended 1×
  • CATEGORY QUERY
    How to build an AI agent platform for integrating global and China enterprise systems?
    you: not recommended
    AI recommended (in order):
    1. Azure OpenAI Service
    2. Logic Apps
    3. Service Bus
    4. API Management
    5. Event Grid
    6. Azure Data Factory
    7. Azure Synapse Analytics
    8. Azure Cosmos DB
    9. Vertex AI
    10. Apigee API Management
    11. Cloud Data Fusion
    12. Amazon Bedrock
    13. AWS Step Functions
    14. Amazon MQ
    15. Amazon API Gateway
    16. Amazon EventBridge
    17. Machine Learning Platform for AI (PAI)
    18. DataWorks
    19. API Gateway
    20. watsonx
    21. IBM App Connect Enterprise
    22. IBM DataStage
    23. LangChain (langchain-ai/langchain)
    24. LlamaIndex (run-llama/llama_index)
    25. Apache Kafka (apache/kafka)
    26. Apache NiFi (apache/nifi)
    27. Kubernetes (kubernetes/kubernetes)
    28. Llama 3 (meta-llama/llama3)
    29. Mistral (mistralai/mistral-src)

    AI recommended 29 alternatives but never named fim-ai/fim-one. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Seeking a self-hosted open-source platform to orchestrate enterprise systems with custom LLM agents.
    you: not recommended
    AI recommended (in order):
    1. Apache Airflow
    2. Prefect
    3. Temporal
    4. Kubernetes
    5. Argo Workflows
    6. Cadence

    AI recommended 6 alternatives but never named fim-ai/fim-one. 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 fim-ai/fim-one?
    pass
    AI named fim-ai/fim-one explicitly

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

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

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

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MARKDOWN (README)
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fim-ai/fim-one — 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