AI Agent Skills

🏛️ 三省六部制 · OpenClaw Multi-Agent Orchestration System — 9 specialized AI agents with real-time dashboard, model config, and full audit trails

本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/

A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

Web dashboard for Hermes Agent — multi-platform AI chat, session management, scheduled jobs, usage analytics

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

Neo4j graph construction from unstructured data using LLMs

The easiest way to serve AI apps and models - Build Model Inference APIs, Job queues, LLM apps, Multi-model pipelines, and more!

🪢 Open source AI engineering platform: LLM evals, observability, metrics, prompt management, playground, datasets. Integrates with OpenTelemetry, LangChain, OpenAI SDK,…

Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.

Coordinate multi-agent teams for software and product work

A framework for building, orchestrating and deploying AI agents and multi-agent workflows with support for Python and .NET.

⚙️🦀 Build modular and scalable LLM Applications in Rust

Pocket Flow: 100-line LLM framework. Let Agents build Agents!

Web crawling built for AI