Context+ is a semantic intelligence server that transforms codebases into searchable, hierarchical feature graphs using RAG, Tree-sitter AST, and spectral clustering. It provides tools for deep code discovery, blast radius analysis, and memory graph management for high-accuracy engineering tasks.
A context engineering tool for AI coding assistants that detects post-training knowledge gaps, resolves them automatically, and delivers team decisions via MCP to Claude, Cursor, Copilot, and other AI tools.
Intelligently analyzes codebases to enhance LLM prompts with relevant context, featuring adaptive context management and task detection to produce higher quality AI responses.
Transforms AI coding assistants into context-aware developers by auto-detecting project context, remembering conversations, and executing commands safely with a multi-layer security model.
Provides intelligent code context management and semantic search capabilities for software development, enabling natural language queries to find relevant code snippets, functions, and classes across Python, JavaScript, TypeScript, and SQL codebases.
