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.

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.

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

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

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

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

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

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

A practical field guide to OpenAI Codex that spends as much ink on what breaks as on what ships.

A tutorial that reverse-engineers Claude Code's core architecture in ~4,300 lines so you don't have to read half a million.

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

A curated field manual for adversarial-testing AI systems—from LLM prompt injection to autonomous-agent RCE—before attackers get there first.

A course on building the structural harnesses—state tracking, verification, and scope limits—that prevent smart AI coding agents from breaking your codebase and calling it done.

This curated index exists so developers can find useful open-source AI tools across fourteen categories without wading through undifferentiated directory dumps or star-count popularity contests.

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

It turns the scattered firehose of agentic AI tools into an 8-stage curriculum with homework and realistic time budgets.