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agent-interview-hub MCP Server

Zchary1106/agent-interview-hub

Score: 46.6 Rank #24427 Search & RAG
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AI Agent 工程师面试资料库 - 国内大厂面经、岗位要求、高频面试题

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Overview

Zchary1106/agent-interview-hub is a HTML tool licensed under MIT. AI Agent 工程师面试资料库 - 国内大厂面经、岗位要求、高频面试题 Topics: ai-agent, chinese, claude, interview, langchain, llm, machine-learning, mcp, prompt-engineering, rag.

Ranked #24427 out of 24846 indexed tools.

Ecosystem

HTML MIT
ai-agentchineseclaudeinterviewlangchainllmmachine-learningmcpprompt-engineeringrag

Score Breakdown

StarsFreshnessIssue HealthContributorsDependents
Stars 15% 722

722 stars → growing community

Freshness 25% 1mo ago

Last commit 1mo ago → moderate activity

Issue Health 25% 0%

0/1 issues closed → many open issues

Contributors 10% 1

1 contributor → solo project

Dependents 25% 0

No dependents → no downstream usage

npm Downloads N/A
PyPI Downloads N/A
Forks 72
Description Brief
License MIT

Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →

How to Improve

Description low impact

Expand your description to 150+ characters for better discoverability

Freshness high impact

Last commit was 58 days ago — a recent commit would boost your freshness score

Issue Health high impact

You have 1 open vs 0 closed issues — triaging stale issues improves health

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AgentRank score for Zchary1106/agent-interview-hub
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Matched Queries

topic:mcp

From the README

<div align="center">

# 🤖 Agent Interview Hub

**国内最全的 AI Agent 工程师面试知识库**

**300+ 面试题与参考答案 · 15 类公司/岗位资料(含 Anthropic 等海外顶级 AI 公司)· 6 道实操考题 · 16 周完整学习路线图**

[📖 经典版](https://zchary1106.github.io/agent-interview-hub/index.html) · [✨ 新版](https://zchary1106.github.io/agent-interview-hub/new.html) · [🔥 高频题信号榜](https://zchary1106.github.io/agent-interview-hub/question-signals.html) · [⭐ Star 支持](https://github.com/Zchary1106/agent-interview-hub) · [🐛 提交面经](https://github.com/Zchary1106/agent-interview-hub/issues)

</div>

---

## 📌 这是什么?

专为**国内大厂 AI Agent 工程师**跳槽/求职打造的一站式面试知识库。

- 🎯 **面向谁** — 准备跳槽阿里、字节、腾讯、百度等大厂 Agent 岗位的工程师
- 📚 **包含什么** — 300+ 高频问题与参考答案、15 类公司/岗位资料、6 道限时实操考题、35 篇通用知识文档
- 🗺️ **学习路线** — 从零到 Offer 的 16 周完整学习计划
- ✨ **特色亮点** — 题目全带答案、面经来自牛客真实分享、支持 GitHub Pages 在线浏览

---

## 🧭 知识体系

```
AI Agent 工程师知识体系
│
├── 🧱 基础层
│   ├── Transformer 架构与注意力机制
│   ├── LLM 原理 / Tokenization / Embedding
│   └── Prompt Engineering 基础
│
├── 🔧 核心层
│   ├── Agent 设计模式(ReAct / Plan-and-Execute
Read full README on GitHub →

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