korchasa awesome lists digest (2026-06-06)

The awesome-ai-agents list received 10 new repositories.

The awesome-aiops list received 482 new repositories. microsoft/generative-ai-for-beginners (111,731 stars) — This Microsoft course provides 21 lessons to teach the fundamentals of building Generative AI applications using Python and TypeScript. vllm-project/vllm (82,066 stars) — vLLM is a high-throughput and memory-efficient serving engine designed specifically for large language models, offering fast, flexible, and cost-effective LLM inference. redis/redis (74,723 stars) — Redis is a versatile in-memory data store used for caching, real-time data processing, messaging, and as a vector database for AI applications like RAG and LLM memory. Mintplex-Labs/anything-llm (61,151 stars) — AnythingLLM is an all-in-one AI application that transforms documents into chat-ready content, featuring AI agents, multi-user support, vector databases, and integrations with various local and clo... pathwaycom/llm-app (59,423 stars) — This project provides ready-to-run cloud templates for RAG, AI pipelines, and enterprise search, enabling real-time data synchronization with various sources. meilisearch/meilisearch (57,977 stars) — Meilisearch is an open-source, lightning-fast search engine API offering AI-powered hybrid search capabilities, including semantic and full-text search, with advanced features for diverse applicati... run-llama/llama_index (49,958 stars) — LlamaIndex is an open-source framework and enterprise platform for building agentic applications, focusing on data ingestion, retrieval, and orchestration for LLMs, including advanced document pars... BerriAI/litellm (49,493 stars) — LiteLLM is an open-source AI Gateway that provides a unified interface and proxy server for managing and calling over 100 large language models (LLMs) with OpenAI compatibility. GokuMohandas/Made-With-ML (47,888 stars) — Made With ML offers comprehensive lessons and code examples for building, deploying, and iterating on production-grade machine learning applications, covering MLOps, CI/CD, and scaling ML workloads. milvus-io/milvus (44,658 stars) — Milvus is a high-performance, cloud-native vector database designed for scalable vector similarity search, empowering AI applications by organizing and searching vast amounts of unstructured data.

The awesome-mcp list received 3 new repositories.