REPOGEO REPORT · LITE

didilili/ai-agents-from-zero

Default branch main · commit b6ce4d9e · scanned 6/26/2026, 8:33:13 AM

GitHub: 2,227 stars · 294 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)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE

27 /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

1 / 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 didilili/ai-agents-from-zero, 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

Refine the 'About' description for clarity and conciseness

Why:

CURRENT

🚀 2026 最系统的 AI Agent 速成指南｜智能体实战教程 · 完整学习路径 + 实战项目 + 面试题库 · 对标大模型应用开发工程师岗位 · 覆盖LangChain / LangGraph / Coze / Dify / MCP / skills / LLM / RAG / 提示词 · 企业级部署与微调 · 从0到企业级落地 + 从学习到上线项目 + 面试准备一体化

COPY-PASTE FIX

2026 最系统的 AI Agent 速成指南，提供完整学习路径、实战项目与面试题库。覆盖 LangChain, LangGraph, Coze, Dify 等主流框架，助力从零到企业级AI智能体落地。

hightopics#2

Add 'learning-path' and 'curriculum' topics

Why:

CURRENT

agent, agent-framework, agentic-ai, ai-agent, aigc, coze, cursor, deepagents, dify, gpt, langchain, langgraph, llm, mcp, rag, skills, tutorial

COPY-PASTE FIX

agent, agent-framework, agentic-ai, ai-agent, aigc, coze, cursor, deepagents, dify, gpt, langchain, langgraph, llm, mcp, rag, skills, tutorial, learning-path, curriculum

mediumreadme#3

Add a direct introductory sentence to the README

Why:

COPY-PASTE FIX

这是一个从零到企业级落地的AI智能体实战速成指南，提供系统教程、可跑源码、面试题库及企业级项目，全面覆盖LangChain、LangGraph等主流AI Agent开发技术栈。

📢 更新说明：AI 不停，更新不止。本仓库将伴随 AI 大模型技术栈持续进化...

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 didilili/ai-agents-from-zero

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

LangChain

Recommended in 2 of 2 queries

COMPETITOR LEADERBOARD

LangChain · recommended 2×
LlamaIndex · recommended 2×
OpenAI GPT-4 / GPT-3.5 Turbo · recommended 1×
Anthropic Claude 3 · recommended 1×
Google Gemini · recommended 1×

CATEGORY QUERY
Seeking a systematic guide to developing intelligent agents with large language models.
you: not recommended
AI recommended (in order):
1. OpenAI GPT-4 / GPT-3.5 Turbo
2. Anthropic Claude 3
3. Google Gemini
4. Mistral AI
5. Llama 3
6. LangChain
7. LlamaIndex
8. AutoGen
9. CrewAI
10. Haystack
11. Pinecone
12. Weaviate
13. Qdrant
14. Chroma
15. LangSmith
16. Ragas
17. DeepEval
AI recommended 17 alternatives but never named didilili/ai-agents-from-zero. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I learn to build AI agents from scratch for enterprise applications?
you: not recommended
AI recommended (in order):
1. LangChain
2. LlamaIndex
3. Haystack (deepset/Haystack)
4. Microsoft Semantic Kernel
5. OpenAI API / Azure OpenAI Service
6. Hugging Face Transformers
7. Rasa
AI recommended 7 alternatives but never named didilili/ai-agents-from-zero. 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 didilili/ai-agents-from-zero?
pass
AI did not name didilili/ai-agents-from-zero — 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 didilili/ai-agents-from-zero in production, what risks or prerequisites should they evaluate first?
pass
AI named didilili/ai-agents-from-zero 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 didilili/ai-agents-from-zero solve, and who is the primary audience?
pass
AI did not name didilili/ai-agents-from-zero — 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?

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MARKDOWN (README)

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didilili/ai-agents-from-zero — 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