- Shanghai, China
- https://blog.csdn.net/qq_16681169
Stars
把Openclaw 变成小红书运营助手,帮你分析、选题、创作、复盘、复刻,甚至全面托管
🚀MCP server for accessing RedNote(XiaoHongShu, xhs).
The agent harness performance optimization system. Skills, instincts, memory, security, and research-first development for Claude Code, Codex, Opencode, Cursor and beyond.
原汁原昧 Claude Code 可运行,可构建, 可调试版; Typescript 类型全修复; 企业级可靠性; 安全无毒, lock 文件保真, 可直接 bun i; bun run dev 启动
The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.
dontbesilent 的商业诊断 Skills for Claude Code
Turn VS Code into your compliant AI playground! With Agent Maestro, spin up Cline or Roo on demand and plug Claude Code or Codex straight in through an OpenAI/Anthropic-compatible API.
Agenetic AI & GenAI (Groq, Mistral, LangChain, LangGraph, RAG, Vector DBs), Cloud (GCP, AWS, Kubernetes, GKE, ECS Fargate), DevOps/LLMOps (Docker, Jenkins, GitOps, ArgoCD, Prometheus, Grafana, ELK …
Collection of slides, repositories, papers about AIOps
A list of awesome academic researches and industrial materials about Large Language Model (LLM) and Artificial Intelligence for IT Operations (AIOps).
Concurrently chat with ChatGPT, Bing Chat, Bard, Alpaca, Vicuna, Claude, ChatGLM, MOSS, 讯飞星火, 文心一言 and more, discover the best answers
Your own personal AI assistant. Any OS. Any Platform. The lobster way. 🦞
Langflow is a powerful tool for building and deploying AI-powered agents and workflows.
🪢 Open source LLM engineering platform: LLM Observability, metrics, evals, prompt management, playground, datasets. Integrates with OpenTelemetry, Langchain, OpenAI SDK, LiteLLM, and more. 🍊YC W23
LangChain powered shell command generator and runner CLI
An interactive shell to work with AI-powered assistance providers
医学中文RAG项目,使用langchain+milvus,支持快速一键式部署,支持无缝领域迁移
[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.
A high-throughput and memory-efficient inference and serving engine for LLMs
《Hello 算法》:动画图解、一键运行的数据结构与算法教程。支持简中、繁中、English、日本語,提供 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 等代码实现
https://adongwanai.github.io/AgentGuide | AI Agent开发指南 | LangGraph实战 | 高级RAG | 转行大模型 | 大模型面试 | 算法工程师 | 面试题库 | 强化学习|数据合成
🔍大模型应用开发实战一:RAG 技术全栈指南,在线阅读地址:https://datawhalechina.github.io/all-in-rag/