What problem does it solve?
It helps you distill scattered daily journal entries into high-signal highlights and a structured monthly review, so your knowledge base evolves from “raw logs” to “usable insights” without cluttering or copying everything.
Core Features & Use Cases
- Subject-based signal extraction: Groups journal items by subject (people, projects, concepts) to avoid dumping full conversations.
- High-signal filtering: Keeps decisions, conclusions, new facts, lessons, and new resources while discarding emotional noise and duplicates.
- Monthly review drafting with traceability: Produces a monthly recap draft that aggregates highlights and includes a pending approval list for fileback into沉淀层.
- Safe workflow by design: Proposes changes only; actual writing is delegated to
wiki-fileback, then followed by a quick lint check.
Quick Start
Ask your AI agent: “enrich my recent daily journal into a monthly review and propose the knowledge-base fileback, then run a quick lint check.”