Starred repositories
5512
results
for source starred repositories
Clear filter
This MCP server allows Claude and other AI assistants to access your LinkedIn. Scrape LinkedIn profiles and companies, get your recommended jobs, and perform job searches.
Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
Experiment: CSI driver for mounting trust bundles into a pod from trust-manager
LlamaIndex is the leading framework for building LLM-powered agents over your data.
Get your documents ready for gen AI
RAGLight is a modular framework for Retrieval-Augmented Generation (RAG). It makes it easy to plug in different LLMs, embeddings, and vector stores, and now includes seamless MCP integration to con…
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
A library for efficient similarity search and clustering of dense vectors.
Kubernetes CSI Driver for serving OCI model artifacts
MCP Server to interact with data in Couchbase Clusters
Just a Better Chatbot. Powered by Agent & MCP & Workflows.
A community driven registry service for Model Context Protocol (MCP) servers.
Open-source framework for building AI-powered apps in JavaScript, Go, and Python, built and used in production by Google
🚀 The fast, Pythonic way to build MCP servers and clients
A Kubernetes controller that enables automated responses to Kubernetes events by integrating with the Kagent platform.
A log viewer for Kubernetes troubleshooting
The official Go SDK for Model Context Protocol servers and clients. Maintained in collaboration with Google.
Example of self-hosting n8n in various environments like docker, kubernetes, etc.
kubectl plugin to query Pods by Node names or selectors
Context7 MCP Server -- Up-to-date code documentation for LLMs and AI code editors
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
An open-source, code-first Go toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Model Context Protocol (MCP) server for Kubernetes and OpenShift
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
Command-line tools for managing OCI model artifacts, which are bundled based on Model Spec
A lightweight, powerful framework for multi-agent workflows