REPOGEO REPORT · LITE

fim-ai/fim-one

Default branch master · commit f1021464 · scanned 6/22/2026, 12:42:20 AM

GitHub: 1,269 stars · 143 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

33 /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

2 / 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

Strengthen the README's opening statement to clarify unique positioning and prevent miscategorization

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: The Open-Source AI Agent Platform for Global × China Enterprise System Integration.** Wire every system you already run — global SaaS to the China stack — through one agent core. *Note: FIM One is an agent platform for enterprise system integration and automation, not a code completion model.*

mediumtopics#2

Add more specific topics related to enterprise integration and China-specific platforms

Why:

CURRENT

ai, ai-agent, ai-agents, connector, dag, fastapi, function-calling, llm, mcp, nextjs, openai-compatible, python, rag, react-agent, tool-use

COPY-PASTE FIX

ai, ai-agent, ai-agents, connector, dag, fastapi, function-calling, llm, mcp, nextjs, openai-compatible, python, rag, react-agent, tool-use, enterprise-integration, china-tech, saas-integration, workflow-automation, system-orchestration

mediumlicense#3

Add a clear statement about the project's license in the README

Why:

COPY-PASTE FIX

## License
This project is licensed under [Specify the actual license(s) here, e.g., 'a custom license as detailed in the LICENSE file']. Please refer to the [LICENSE](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 fim-ai/fim-one

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

MuleSoft Anypoint Platform

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

MuleSoft Anypoint Platform · recommended 1×
Azure Integration Services · recommended 1×
Logic Apps · recommended 1×
Service Bus · recommended 1×
API Management · recommended 1×

CATEGORY QUERY
How to integrate global enterprise systems with AI agents, including China-specific platforms?
you: not recommended
AI recommended (in order):
1. MuleSoft Anypoint Platform
2. Azure Integration Services
3. Logic Apps
4. Service Bus
5. API Management
6. AWS Integration Services
7. Step Functions
8. SQS
9. API Gateway
10. Dell Boomi AtomSphere Platform
11. Workato
12. Apache Kafka
13. Spring Boot
14. Node.js
15. Python Flask
16. Python Django
AI recommended 16 alternatives but never named fim-ai/fim-one. This is the gap to close.
Show full AI answer
CATEGORY QUERY
What open-source self-hosted agent platform can wire disparate enterprise systems using any LLM?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Haystack
4. AutoGPT
5. Flowise
6. Dify
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 did not name fim-ai/fim-one — likely talking about a different project
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)

[![RepoGEO](https://repogeo.com/badge/fim-ai/fim-one.svg)](https://repogeo.com/en/r/fim-ai/fim-one)

HTML

<a href="https://repogeo.com/en/r/fim-ai/fim-one"><img src="https://repogeo.com/badge/fim-ai/fim-one.svg" alt="RepoGEO" /></a>

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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