Context-Engine MCP - Agentic Context Compression Suite
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
The Context Hub for AI agents
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.
Universal Memory & Context Engine (MCP Server) to give Long-Term Memory to AI Agents.
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.
Arq - Spec-first AI coding agent with deep codebase understanding
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.
Self-hosted adaptive code search: micro-chunk precision, hybrid rerank, VS Code/MCP-ready
Core library: scoring, selection, and caching for the Context Engine
Perplexity-powered agent for finding information regarding any real estate property. Built during the Perplexity Hackathon.
Documentation and how-to guides for the Context Engine platform
Desktop screenshot intelligence engine that fuses VLM, LLM, OCR, and vector retrieval into multi-layer structured memory for searchable context and thread-aware timelines.
Compatibility test harness: determinism, golden outputs, schema validation, and protocol compliance
Protocol specifications, architectural decisions, and design documents
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.
MCP server exposing context tools over JSON-RPC 2.0 stdio transport
Add a description, image, and links to the context-engine topic page so that developers can more easily learn about it.
To associate your repository with the context-engine topic, visit your repo's landing page and select "manage topics."