Intelligent context manager for AI coding assistants that uses a three-level memory system (core, active, archive) to remember project context across conversations.
Provides AI assistants with persistent memory of your project architecture, development history, and technical decisions, allowing them to give context-aware coding help without needing repeated explanations.
Tracks working context and code structure in a portable local SQLite database, enabling seamless context and task continuity across different AI coding tools.
Enables AI development tools to maintain context across chat sessions with automatic branching, progress tracking, and TODO management for different tasks.
Enables AI coding agents to maintain persistent project context, including rules, decisions, environment intelligence, and Git history, using a local-first MCP server with automatic project detection and token-efficient retrieval.