Context-Engine MCP - Agentic Context Compression Suite

Save thousands of lines of code by building universal, domain-agnostic Multi-Agent Systems (MAS) through high-level semantic orchestration. This repository provides a production-ready blueprint for the Agentic Era, allowing you to replace rigid, hard-coded workflows with a dynamic transparent Context Engine that provides 100% transparency.

100% Rust implementation of code graphRAG with blazing fast AST+FastML parsing, surrealDB backend and advanced agentic code analysis tools through MCP for efficient code agent context management

MCP server that provides code context and analysis for AI assistants. Extracts directory structure and code symbols using WebAssembly Tree-sitter parsers with Zero Native Dependencies.

Database Freedom Platform - Mathematical search optimization for whatever database you already have. 27,000x faster than vector databases with SMT-powered search across 8+ database types. One-time 9-2999 vs 00-500/month recurring.

A Local Context Engine

A production-ready TypeScript MCP server that provides comprehensive project analysis, intelligent code search, dependency tracking, and coordinated multi-file editing capabilities.

Deterministic, offline-first agent sandbox with concept-graph memory. Reflex→retrieval→planning→filter for repeatable outputs. Stable baseline for v4 external reasoning.

SkyOne is the cognitive nucleus of the Sky Ecosystem — an AI-driven bootloader designed to coordinate modular memory, journaling, and orchestration across all Sky tiers. It handles context persistence, data flow management, and reflection pipelines to unify intelligent behavior across SkyServer and SkyWeb.

Perplexity-powered agent for finding information regarding any real estate property. Built during the Perplexity Hackathon.

A local-first, privacy-focused personal context engine that lets you chat with your documents using offline AI models. Built with Electron, Python, and Ollama.

A local-first, privacy-focused personal context engine that lets you chat with your documents using offline AI models. Built with Electron, Python, and Ollama.