Enables AI agents to read and write structured, human-verified wiki knowledge inside a project repo, providing reliable context without interfering with the AI's reasoning.
Routes coding agents to the most relevant project documentation (decisions, intent, constraints) with provenance and freshness, providing tools for task routing, knowledge search, and document context.
Indexes GitHub repositories and provides living documentation context to coding agents, enabling them to ground work in actual repository conventions and propose doc updates.
Enables AI agents to query and maintain source-bound project knowledge with git-computed freshness verdicts and a gated write path, providing trusted, up-to-date documentation for legacy codebases.
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 a persistent memory and governance layer that allows AI coding agents to query documented architecture rules and validate code against team standards. It enables agents to verify compliance across categories like security and testing before suggesting changes to ensure consistency across development sessions.