LSBX Professional Knowledge Base

Problems it addresses

Personal knowledge management often runs into concrete problems: notes scatter across directories while Markdown, PDF, and Word files mix together; AI analysis results remain in a single version, making the evolution of reasoning hard to trace; completed tasks lack structured logs, so decisions are easy to forget days later; changing devices or paths can break indexes, and users may worry about unconfirmed file changes.

LSBX Professional Knowledge Base splits these concerns into four systems: a knowledge base for human-reviewed stable conclusions, a memory base for multi-version AI analysis, a log system for task-level summaries, and a time-tracking system for daily session snapshots. The public version does not bind a default path; all directories are chosen by the user on first use.

How it works

On first run, it guides the user to set a working path and stores the configuration in shared/config.json. Later runs usually follow a fixed flow: check first-use state, validate the path, scan the four system directories, show file counts, sizes, update times, and recent additions, then ask for the user’s intent and invoke the matching workflow.

Core capabilities include:
- Creation and import: templates for study notes, knowledge documents, task plans, and retrospectives; single-file import infers type, tags, and metadata; batch import processes files one by one and outputs a summary report.
- Search and indexing: full-text, tag, metadata, and directory-structure search; updates INDEX.md and STAT.md through scripts/index-generator.py.
- Review and analysis: four-dimensional document review, SWOT, risk, feasibility analysis, multi-document comparison, incremental review, and batch processing.
- Export and backup: Markdown can be converted to PDF or Word and packaged in bulk; removable-drive export includes SHA256 verification.

It asks for confirmation before writing and explains which files it plans to read when using AI judgment.

Boundaries and notes

It is closer to a local file-management framework than a cloud collaboration system. Cross-format reading and PDF/Word conversion rely on external skills; index failures can degrade but may need manual triggering; logs are append-only and do not rewrite history; cross-platform use requires checking that base_path is accessible.