Context-Engine MCP - Agentic Context Compression Suite

Context compression for AI coding agents: compresses tool output before it enters the model, dedups repeats to 13-token refs. Claude Code, Cursor, Codex, Kiro, Zed, any MCP client. Rust, zero LLM calls.

Measure token savings per AI coding agent, optimize context, and share a live local knowledge graph across 16 CLI clients.

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