REPOGEO REPORT · LITE

KroMiose/nekro-agent

Default branch main · commit 75cb872b · scanned 6/13/2026, 6:42:19 PM

GitHub: 887 stars · 73 forks

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 KroMiose/nekro-agent, 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

Reposition README opening to clarify Python framework and comprehensive nature

Why:

CURRENT

# Nekro Agent - 更智能、更优雅的代理执行 AI

Switch to [English](./README_en.md)

<div align="center">
  <a href="https://doc.nekro.ai"></a><br>
  <p></p>
</div>

<div align="center">
  ✨ 高可扩展 | 高自由度 | 极简部署 的 AI 聊天 & 代理执行 Bot! ✨<br/>

COPY-PASTE FIX

# Nekro Agent - 面向多人互动场景的跨平台 Python Agent 框架

Switch to [English](./README_en.md)

<div align="center">
  <a href="https://doc.nekro.ai"></a><br>
  <p></p>
</div>

<div align="center">
  ✨ 高可扩展 | 高自由度 | 极简部署 的 AI 聊天 & 代理执行 Bot! ✨<br/>
  Nekro Agent 集 Claude Code 沙盒执行、工作区编排、长期记忆、结构化 MCP 管理与可视化控制台于一体，兼具高扩展性、多模态交互、实时状态推送和自动化运行能力。

mediumreadme#2

Emphasize multi-platform support and Claude Code sandbox in core features

Why:

CURRENT

The current '核心能力' (Core Capabilities) section.

COPY-PASTE FIX

Integrate the following points prominently into the '核心能力' section:
```
*   **跨平台接入:** 支持 QQ、Discord、Telegram、Minecraft、BilibiliLive、WeChat、Email、SSE(SDK) 等多种平台，实现无缝多模态交互。
*   **Claude Code 沙盒执行:** 引导 AI 生成代码并在安全的容器化环境中执行，实现复杂任务与方法级扩展性的坚固基石！
```

lowlicense#3

Clarify the project's license in the README

Why:

COPY-PASTE FIX

Add a '许可证' (License) section to the README:
```
## 许可证

本项目包含一个自定义许可证文件。请参阅 [LICENSE](LICENSE) 文件以获取详细信息。
```

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 KroMiose/nekro-agent

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 2 of 2 queries

COMPETITOR LEADERBOARD

langchain-ai/langchain · recommended 2×
run-llama/llama_index · recommended 2×
deepset-ai/haystack · recommended 2×
OpenAI GPT-4 · recommended 1×
Pinecone · recommended 1×

CATEGORY QUERY
How can I build a multi-platform AI chatbot with advanced agent capabilities and long-term memory?
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. OpenAI GPT-4
3. Pinecone
4. LlamaIndex (run-llama/llama_index)
5. Weaviate (weaviate/weaviate)
6. Microsoft Semantic Kernel (microsoft/semantic-kernel)
7. Azure OpenAI Service
8. Azure Cosmos DB
9. Rasa (RasaHQ/rasa)
10. OpenAI API
11. PostgreSQL
12. Milvus (milvus-io/milvus)
13. Haystack (deepset-ai/haystack)
14. Elasticsearch (elastic/elasticsearch)
15. Vespa (vespa-engine/vespa)
AI recommended 15 alternatives but never named KroMiose/nekro-agent. This is the gap to close.
Show full AI answer
CATEGORY QUERY
Seeking a Python framework for developing intelligent agents with sandboxed code execution and tool calling.
you: not recommended
AI recommended (in order):
1. LangChain (langchain-ai/langchain)
2. Piston (piston-bot/piston)
3. LlamaIndex (run-llama/llama_index)
4. CrewAI (joaomdmoura/crewai)
5. AutoGen (microsoft/autogen)
6. Haystack (deepset-ai/haystack)
7. Open Interpreter (KillianLucas/open-interpreter)
8. Guidance (microsoft/guidance)
AI recommended 8 alternatives but never named KroMiose/nekro-agent. 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 KroMiose/nekro-agent?
pass
AI did not name KroMiose/nekro-agent — 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 KroMiose/nekro-agent in production, what risks or prerequisites should they evaluate first?
pass
AI named KroMiose/nekro-agent 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 KroMiose/nekro-agent solve, and who is the primary audience?
pass
AI named KroMiose/nekro-agent 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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HTML

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KroMiose/nekro-agent — 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