What problem does it solve?
It prevents wasting time by forcing the AI to use the project’s MCP tools and canonical memory sources first, keeping knowledge retrieval audited, permissioned, and cross-tenant safe.
Core Features & Use Cases
- MCP-first knowledge routing: Prefer MCP tools over filesystem reads/grep for any request that involves project memory, ADRs, cycles, sessions, or tasks.
- Question-to-tool mapping: Turns common user intents (active cycle state, goals, inbox, tasks, ADR lookup, recent sessions) into the correct MCP tool calls.
- Zero private auto-memory enforcement: Avoids creating private working-memory files in Claude projects; persistent knowledge goes to the git-backed canonical paths.
- When filesystem is acceptable: Allows filesystem reads mainly during debugging or when MCP is down, and allows specific templates for writing decisions during documented edits.
Quick Start
Ask: “Use MCP to find the current cycle status, my active tasks, and the latest relevant ADR for the topic ‘multi-tenant isolation’.”