by keyuchen21 · MCP Server · ★ 126
Agentic Engineering Handbook The definitive OpenAI, Anthropic, Google, MCP, Harness, Evals, and Production Agent Systems learning roadmap. If this repository helps you, consider giving it a ⭐ Why This Repository? The AI industry has entered the Agentic Era. Building production-grade AI systems now requires mastering agents, tool use, MCP, memory, long-running workflows, coding agents, agent harnesses, evals, and safety — but the knowledge is scattered across OpenAI blogs, Anthropic engineering posts, SDK docs, cookbooks, and research papers.
| Stars | 126 |
| Forks | 4 |
| Language | Python |
| Category | MCP Server |
| License | MIT |
| Quality Score | 62.1080223336087/100 |
| Last Updated | 2026-06-27 |
| Created | 2026-06-09 |
| Platforms | claude-code, mcp, python |
| Est. Tokens | ~24k |
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agentic-engineering-handbook is The definitive OpenAI, Claude, MCP, Harness, Evals, and Production Agent Systems learning roadmap.. It is categorized as a MCP Server with 126 GitHub stars.
agentic-engineering-handbook is primarily written in Python. It covers topics such as agentic-engineering, agents, ai-agents.
You can find installation instructions and usage details in the agentic-engineering-handbook GitHub repository at github.com/keyuchen21/agentic-engineering-handbook. The project has 126 stars and 4 forks, indicating an active community.
agentic-engineering-handbook is released under the MIT license, making it free to use and modify according to the license terms.