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.
Provides fresh project context to coding agents by combining Markdown documentation and live Git state, enabling deterministic startup briefs and bounded document retrieval for MCP-compatible tools.
Provides long-lived, cross-project technical memory for AI agents via markdown cards stored in git and indexed by SQLite, enabling search, retrieval, and human-reviewed knowledge management.
Indexes your project's markdown documentation and exposes it to AI agents via local hybrid search (lexical + semantic) with progressive disclosure tools.
Indexes your repo's markdown into a canonical doc store, serving agents the single current doc per question via MCP to save tokens and keep all agents on the same source of truth.