AI Agent Skills

此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。

A agent framework based on the tutorial hello-agents

Communicate with an LLM provider using a single interface

Open-source inference server and production cluster for all the models your agent needs.

OpenKB: Open LLM Knowledge Base

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

🧠 Curated collection of 1209+ best OpenClaw skills — weekly updated by MyClaw.ai

Machine learning on FPGAs using HLS

Turn your PC, Mac, or Linux box into an AI server. LLM inference, chat UI, voice, agents, workflows, RAG, and image generation.

Let Skills Evolve Collectively with Agentic Evolver

EdegQuake 🌋 High-performance GraphRAG inspired from LightRag written in Rust; Transform documents into intelligent knowledge graphs for superior retrieval and generation

🤖 A Python library for learning and evaluating knowledge graph embeddings

ChatWiki 微信公众号的AI知识库工作流Agent平台，RAG大模型AI客服机器人，致力于成为垂直领域的coze、n8n。

Transform Web Content into LLM-Ready Data

Specify a github or local repo, github pull request, arXiv or Sci-Hub paper, Youtube transcript or documentation URL on the web and scrape into a text file and clipboard…

The PHP Agentic Framework to build production-ready AI driven applications. Connect components (LLMs, vector DBs, memory) to agents that can interact with your data.