vMLX - Use MLX models easily - JANGQ (GGUF for MLX) - Not dependant on mlx_vlm

High-performance OpenAI and Anthropic compatible LLM inference server for Apple Silicon. Native MLX, continuous batching, multimodal models, MCP tool calling, and Claude Code support.

MCP server to connect an MCP client (Cursor, Claude Desktop etc) with your ZenML MLOps and LLMOps pipelines

Adaptive Python web scraping toolkit + MCP server for AI agents. Self-healing selectors that survive site changes, TLS-fingerprint stealth to bypass anti-bot filters, CSS/XPath parsing, and 24 built-in scrapers, clean, structured, LLM-ready data from any URL.

The python library for research and development in NLP, multimodal LLMs, Agents, ML, Knowledge Graphs, and more.

The Context Layer for unstructured data: typed, versioned datasets over S3, GCS, Azure

Generate production-ready Python and AI stacks by combining frameworks, data engines, tooling, and cloud deployment.

Compress tool outputs, logs, files, and RAG chunks before they reach the LLM. 20% fewer tokens for coding agents, 60-95% fewer tokens for JSON, same answers. Library, proxy, MCP server.