What problem does it solve?
Prevents repetitive questioning and context rot by surfacing relevant decisions, lessons, timelines, and preferences from structured PMM memory files before asking any agent to reason or act.
Core Features & Use Cases
- Context-aware routing: Uses the built-in table to map user intent to the appropriate memory files with attribution, date, and file-scope filters so queries target decisions, preferences, tone, progress, graphs, timelines, rules, assets, and background knowledge.
- Deep traversal and fallbacks: Supports the deep flag to expand results through vectors, graph edges, and taxonomy siblings, and escalates to full-file reads or git-history retrieval when in-window memory yields no hits.
- Flexible output modes: Produces concise, cited prose answers or detailed dumps, respects session start modes, and enriches responses with related graph or asset context only when it adds value.
Quick Start
Ask pmm-query for a summary of the latest decision about pricing rollouts.