by rohitg00 · MCP Server · ★ 4.8k
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
Journey • Get Started • Toolkit • Roadmap • Contribute • Glossary 230+ hands-on lessons across 20 phases. From linear algebra to autonomous agent swarms. Python, TypeScript, Rust, Julia. Every lesson produces something reusable: prompts, skills, agents, MCP servers. You learn AI. You build real things. You ship tools others can use. "I learned some
| Stars | 4,834 |
| Forks | 1,024 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 42.528/100 |
| Open Issues | 7 |
| Last Updated | 2026-04-23 |
| Created | 2026-03-18 |
| Platforms | mcp, python |
| Est. Tokens | ~241k |
Looking for a ai-engineering-from-scratch alternative? If you're comparing ai-engineering-from-scratch with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
程序员鱼皮的 AI 资源大全 + Vibe Coding 零基础教程，分享 OpenClaw 保姆级教程、大模型玩法（DeepSeek / GPT / Gemini / Claude）、最新 AI 资讯、Prompt 提
AI Agent Engineering Platform built on an Open Source TypeScript AI Agent Framework
Build effective agents using Model Context Protocol and simple workflow patterns
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
Flexible and powerful framework for managing multiple AI agents and handling complex conversations
A model-driven approach to building AI agents in just a few lines of code.
Explore other popular mcp server tools:
ai-engineering-from-scratch is Learn it. Build it. Ship it for others.. It is categorized as a MCP Server with 4.8k GitHub stars.
ai-engineering-from-scratch is primarily written in Python. It covers topics such as agents, ai, ai-agents.
You can find installation instructions and usage details in the ai-engineering-from-scratch GitHub repository at github.com/rohitg00/ai-engineering-from-scratch. The project has 4.8k stars and 1024 forks, indicating an active community.
ai-engineering-from-scratch is released under the MIT license, making it free to use and modify according to the license terms.
The top alternatives to ai-engineering-from-scratch on Agent Skills Hub include ai-guide, voltagent, mcp-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.