Automatically captures project state on git commits, detects context drift, and delivers structured token-budgeted briefings to AI agents, ensuring project continuity without manual effort.
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.
Enables agentic coding tools to maintain a living, in-repo model of intent, architecture, and code, with deterministic indexing, bidirectional linking, and continuous drift detection for task-scoped context and reconciliation.
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.
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.
Project memory and scoping engine for AI coding agents. It gives any agent persistent project state, bounded work packages, and cross-session continuity.