Learning

This repo open-sources a full Chinese textbook on AI agent engineering—complete with Markdown source, compiled PDF, and runnable Python demos for every chapter.

Engram exists because a brilliant AI explanation is worthless if you can't recall it next month.

It packages a professor's decade of SIGMOD and NeurIPS experience into structured AI skills, bridging the 'last-mile' gap where generic guides and busy advisors leave grad students stranded.

Organizes 411 free AI resources into actual learning paths, because bookmarking isn't studying.

Pairs a 424-page textbook with Jupyter notebooks to teach AI agent design patterns.

An open-source curriculum for the Forward Deployment Engineer, the hybrid role that ships complex AI and data systems into hostile, real-world client environments.

It packages a sprawling traditional Chinese medicine video curriculum into an agent skill so Claude can retrieve formulas, acupoints, and lecture screenshots by plain-language symptom instead of improvising.

An open-source field guide that teaches WorkBuddy through real jobs, not feature lists.

A glossary translating the AI coding jargon no one bothers to explain.

This curated list maps the chaotic AI-security tooling landscape—from triage bots to MCP scanners—with a color-coded honesty system that separates open source from commercial hybrids and restrictive researchware.

A curated directory of over 200 agentic AI projects arguing that workflow beats raw model size.

It reverse-engineers Pi Agent into a progressive, hands-on TypeScript course for Chinese developers.

An opinionated todo list that drags AI agent development from demo culture back to software engineering.

An open-source Chinese curriculum that tries to bridge the chasm between LangChain demos and production-grade agent systems.

It catalogs the growing ecosystem of skills, tools, and integrations for Nous Research’s self-improving Hermes Agent.

Because nobody has time to read every paper from NeurIPS, CVPR, and ACL.

A curated reading list and pattern library for the unglamorous infrastructure that keeps AI agents reliable and on-task.

A 755-star HTML tutorial for Chinese beginners that treats network access workarounds as a first-class feature of learning OpenAI Codex.

Curated technical deep-dives covering everything from NVLink signal integrity to Kubernetes GPU scheduling and Huawei NPU porting.

It turns scattered AI agent prompts into a browsable, installable inventory that refreshes itself daily.