Enables AI coding providers to coordinate structured multi-agent workflows with documents, tracked tasks, handoffs, and health evidence. It owns task claims, action logs, and final health results while leaving specification files on the filesystem.
Gives AI coding providers a shared, provider-agnostic workflow for authoring use cases and specs, claiming and tracking tasks across lead, explorer, consultant, builder, and reviewer roles, recording handoffs, and gating completion on native health scripts. It owns task claims, action logs, handoffs, and final health results over MCP, so teams can move from a request to verified work while specifications stay as Markdown files on the filesystem.
Provides durable queues, human-in-the-loop approval gates, and an audit trail for AI agent fleets, enabling blocking approval requests and reliable work handoffs.
A git-backed MCP server that centrally manages AI agent skills, tools, and knowledge with role-based access, change requests, and a remote OAuth 2.1 endpoint.