AI Agent Skills

Generative AI reference workflows optimized for accelerated infrastructure and microservice architecture.

Harness LLMs with Multi-Agent Programming

Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.

One delightful Ruby framework for every major AI provider. Build AI agents, chatbots, RAG apps, and multimodal workflows in beautiful, expressive code.

⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…

Easiest and laziest way for building multi-agent LLMs applications.

A system for agentic LLM-powered data processing and ETL

A retargetable MLIR-based machine learning compiler and runtime toolkit.

Agent framework for the JVM. Pronounced Em-BAY-bel /ɛmˈbeɪbəl/

大厂发布的AI落地实践、顶尖实验室的最新论文、工业界的真实踩坑记录

35 production-grade agentic AI architectures (Reflexion, LATS, GraphRAG, MemGPT, Voyager, BrowserAgent, ...) — a Python library and runnable textbook with multi-provider…

Bridge Neovim and OpenCode AI to stay in your flow.

🛠️ Awesome tools & guides for harness engineering.

AI Agent that handles engineering tasks end-to-end: integrates with developers’ tools, plans, executes, and iterates until it achieves a successful result.

Agent Skills as a Memory Layer

🦞 Just talk to your agent — it learns and EVOLVES 🧬.