REPOGEO REPORT · LITE

HKUDS/AnyTool

Default branch main · commit 506430fe · scanned 5/22/2026, 2:48:08 AM

GitHub: 652 stars · 87 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

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 HKUDS/AnyTool, 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

Integrate core problem statement immediately after the main value proposition

Why:

CURRENT

### ✨ **One Line of Code to Supercharge any Agent with <br>Fast, Scalable and Powerful Tool Use** ✨

[](https://github.com/HKUDS/AnyTool/)
[](https://www.python.org/)
[](https://opensource.org/licenses/MIT/)
[](./COMMUNICATION.md)
[](./COMMUNICATION.md)

| ⚡ **Fast - Lightning Tool Retrieval** &nbsp;|&nbsp; 📈 **Self-Evolving Tool Orchestration** &nbsp;|&nbsp; ⚡ **Universal Tool Automation** |

COPY-PASTE FIX

### ✨ **One Line of Code to Supercharge any Agent with <br>Fast, Scalable and Powerful Tool Use** ✨

AnyTool is the universal tool-use layer that solves the core challenges of overwhelming tool contexts, unreliable community tools, and limited capability coverage for production AI agents.

[](https://github.com/HKUDS/AnyTool/)
[](https://www.python.org/)
[](https://opensource.org/licenses/MIT/)
[](./COMMUNICATION.md)
[](./COMMUNICATION.md)

| ⚡ **Fast - Lightning Tool Retrieval** &nbsp;|&nbsp; 📈 **Self-Evolving Tool Orchestration** &nbsp;|&nbsp; ⚡ **Universal Tool Automation** |

mediumtopics#2

Add more specific topics for LLM agent frameworks and tool management

Why:

CURRENT

ai-agents, computer-use-agents, mcp, tool-orchestration, tool-use

COPY-PASTE FIX

ai-agents, computer-use-agents, mcp, tool-orchestration, tool-use, llm-agents, agent-framework, tool-management

lowhomepage#3
Add a homepage URL to the repository metadata
Why:
COPY-PASTE FIX
```
[Your project's official homepage URL, e.g., https://anytool.hku.edu]
```

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 HKUDS/AnyTool

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

langchain-ai/langchain

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 1×
run-llama/llama_index · recommended 1×
joaomdmoura/crewAI · recommended 1×
OpenAI Function Calling · recommended 1×
microsoft/autogen · recommended 1×

CATEGORY QUERY
How to integrate and manage various tools for AI agents efficiently?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. LlamaIndex (run-llama/llama_index)
3. CrewAI (joaomdmoura/crewAI)
4. OpenAI Function Calling
5. Autogen (microsoft/autogen)
6. Haystack (deepset-ai/haystack)
7. Semantic Kernel (microsoft/semantic-kernel)
AI recommended 7 alternatives but never named HKUDS/AnyTool. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a framework to improve AI agent tool reliability and context management.
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Haystack
4. AutoGen
5. CrewAI
6. Semantic Kernel
AI recommended 6 alternatives but never named HKUDS/AnyTool. 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 HKUDS/AnyTool?
pass
AI named HKUDS/AnyTool explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?
If a team adopts HKUDS/AnyTool in production, what risks or prerequisites should they evaluate first?
pass
AI named HKUDS/AnyTool 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 HKUDS/AnyTool solve, and who is the primary audience?
pass
AI named HKUDS/AnyTool explicitly
AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

Drop this badge into the README of HKUDS/AnyTool. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

Live preview

MARKDOWN (README)

[![RepoGEO](https://repogeo.com/badge/HKUDS/AnyTool.svg)](https://repogeo.com/en/r/HKUDS/AnyTool)

HTML

<a href="https://repogeo.com/en/r/HKUDS/AnyTool"><img src="https://repogeo.com/badge/HKUDS/AnyTool.svg" alt="RepoGEO" /></a>

Pro

Subscribe to Pro for deep diagnoses

HKUDS/AnyTool — 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