Stars
🤖 GPT Vision, Open Source Vision components for GPTs, generative AI, and LLM projects. Not only UI Components.
Deepagents is an agent harness built on langchain and langgraph. Deep agents are equipped with a planning tool, a filesystem backend, and the ability to spawn subagents - making them well-equipped …
FULL Augment Code, Claude Code, Cluely, CodeBuddy, Comet, Cursor, Devin AI, Junie, Kiro, Leap.new, Lovable, Manus, NotionAI, Orchids.app, Perplexity, Poke, Qoder, Replit, Same.dev, Trae, Traycer AI…
A compact lunar calendar for your macOS menu bar.
A community driven registry service for Model Context Protocol (MCP) servers.
mcp-use is the easiest way to interact with mcp servers with custom agents
The official Python SDK for Model Context Protocol servers and clients
Expose your FastAPI endpoints as Model Context Protocol (MCP) tools, with Auth!
Specification and documentation for the Model Context Protocol
🚀 The fast, Pythonic way to build MCP servers and clients
Implementing the 4 agentic patterns from scratch
Production-ready platform for agentic workflow development.
《开源大模型食用指南》针对中国宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程
🤖 The free, Open Source alternative to OpenAI, Claude and others. Self-hosted and local-first. Drop-in replacement for OpenAI, running on consumer-grade hardware. No GPU required. Runs gguf, transf…
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Instant Kubernetes-Native Application Observability
Prometheus exporter for custom eBPF metrics
⭕ Share quick reference cheat sheet for developers.
A curated list of awesome projects related to eBPF.
Examples and hands-on labs for Linux tracing tools workshops
ebpf-go is a pure-Go library to read, modify and load eBPF programs and attach them to various hooks in the Linux kernel.
APM, (Application Performance Management) tool for large-scale distributed systems.
zookeeper web管理和监控界面，使用内置的H2数据库，此版本基于淘宝大神yasenagat的zkWeb源码基础之上进行了大幅升级和修改，主要新增了集群监控和国际化功能，直接java -jar或将war包放入tomcat即可运行！最近新增加了docker镜像功能！
Solutions to all the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne